-
1
-
-
79959929769
-
How were new medicines discovered?
-
Swinney DC, Anthony J. How were new medicines discovered? Nat Rev Drug Discov 2011;10(7):507-19
-
(2011)
Nat Rev Drug Discov
, vol.10
, Issue.7
, pp. 507-519
-
-
Swinney, D.C.1
Anthony, J.2
-
2
-
-
84905495729
-
The discovery of first-in-class drugs: Origins and evolution
-
Eder J, Sedrani R, Wiesmann C. The discovery of first-in-class drugs: origins and evolution. Nat Rev Drug Discov 2014;13(8):577-87
-
(2014)
Nat Rev Drug Discov
, vol.13
, Issue.8
, pp. 577-587
-
-
Eder, J.1
Sedrani, R.2
Wiesmann, C.3
-
3
-
-
82955209252
-
The pharmaceutical regulatory process
-
Robert P, editor. 2nd edition. Informa Healthcare; New York, NY
-
Berry IR, Martin RP. The pharmaceutical regulatory process. In: Robert P, editor. Drugs and the pharmaceutical sciences. 2nd edition. Informa Healthcare; New York, NY: 2008
-
(2008)
Drugs and the Pharmaceutical Sciences
-
-
Berry, I.R.1
Martin, R.P.2
-
5
-
-
73449101512
-
Lessons for 60 years of pharmaceutical innovation
-
Munos B. Lessons for 60 years of pharmaceutical innovation. Nat Rev Drug Discov 2009;8(12):959-68
-
(2009)
Nat Rev Drug Discov
, vol.8
, Issue.12
, pp. 959-968
-
-
Munos, B.1
-
7
-
-
84906778667
-
Advancing the drug discovery and development process
-
Nicolaou KC. Advancing the drug discovery and development process. Angewandte Chemie Int Ed 2014;53(35):9128-40
-
(2014)
Angewandte Chemie Int Ed
, vol.53
, Issue.35
, pp. 9128-9140
-
-
Nicolaou, K.C.1
-
8
-
-
84857743319
-
Diagnosing the decline in pharmaceutical R&D efficiency
-
Scannell JW, Blanckley A, Boldon H, Warrington B. Diagnosing the decline in pharmaceutical R&D efficiency. Nat Rev Drug Discov 2012;11(3):191-200
-
(2012)
Nat Rev Drug Discov
, vol.11
, Issue.3
, pp. 191-200
-
-
Scannell, J.W.1
Blanckley, A.2
Boldon, H.3
Warrington, B.4
-
9
-
-
77649234756
-
How to improve R&D productivity: The pharmaceutical industry's grand challenge
-
Paul SM, Mytelka DS, Dunwiddie CT, et al. How to improve R&D productivity: the pharmaceutical industry's grand challenge. Nat Rev Drug Discov 2010;9(3):203-14
-
(2010)
Nat Rev Drug Discov
, vol.9
, Issue.3
, pp. 203-214
-
-
Paul, S.M.1
Mytelka, D.S.2
Dunwiddie, C.T.3
-
11
-
-
81755173447
-
An assessment of R&D productivity in the pharmaceutical industry
-
Dimitri N. An assessment of R&D productivity in the pharmaceutical industry. Trends Pharmacol Sci 2011;32(12):683-5
-
(2011)
Trends Pharmacol Sci
, vol.32
, Issue.12
, pp. 683-685
-
-
Dimitri, N.1
-
12
-
-
79956140184
-
Getting pharmaceutical R&D back on target
-
Bunnage ME. Getting pharmaceutical R&D back on target. Nat Chem Biol 2011;7:335-9
-
(2011)
Nat Chem Biol
, vol.7
, pp. 335-339
-
-
Bunnage, M.E.1
-
13
-
-
84866739808
-
Drug discovery in pharmaceutical industry: Productivity challenges and trends
-
Khanna I. Drug discovery in pharmaceutical industry: productivity challenges and trends. Drug Discov Today 2012;17(19-20):1088-102
-
(2012)
Drug Discov Today
, vol.17
, Issue.19-20
, pp. 1088-1102
-
-
Khanna, I.1
-
14
-
-
84889593989
-
Does size matter in R&D productivity? If not, what does?
-
Ringel M, Tollman P, Hersch G, Schulze U. Does size matter in R&D productivity? If not, what does? Nat Rev Drug Discov 2013;12(10):901-2
-
(2013)
Nat Rev Drug Discov
, vol.12
, Issue.10
, pp. 901-902
-
-
Ringel, M.1
Tollman, P.2
Hersch, G.3
Schulze, U.4
-
15
-
-
84896947917
-
Potential strategies for increasing drug-discovery productivity
-
Cumming JG, Finlay MRV, Giordanetto F, et al. Potential strategies for increasing drug-discovery productivity. Future Med Chem 2014;6(5):515-27
-
(2014)
Future Med Chem
, vol.6
, Issue.5
, pp. 515-527
-
-
Cumming, J.G.1
Finlay, M.R.V.2
Giordanetto, F.3
-
16
-
-
84899911925
-
R&D productivity: On the comeback trail
-
Schulze U, Baedeker M, Chen YT, Greber D. R&D productivity: on the comeback trail. Nat Rev Drug Discov 2014;13(4):331-2
-
(2014)
Nat Rev Drug Discov
, vol.13
, Issue.4
, pp. 331-332
-
-
Schulze, U.1
Baedeker, M.2
Chen, Y.T.3
Greber, D.4
-
17
-
-
0033952168
-
Compound optimization in early and late phase drug discovery: Acceptable pharmacokinetics properties utilizing combined physicochemical, in vitro and in vivo screens
-
Caldwell GW. Compound optimization in early and late phase drug discovery: acceptable pharmacokinetics properties utilizing combined physicochemical, in vitro and in vivo screens. Curr Opin Drug Discov Devel 2000;3:30-41
-
(2000)
Curr Opin Drug Discov Devel
, vol.3
, pp. 30-41
-
-
Caldwell, G.W.1
-
18
-
-
0035523085
-
The new pre-preclinical paradigm: Compound optimization in early and late phase drug discovery
-
Caldwell GW, Ritchie DM, Masucci JA, et al. The new pre-preclinical paradigm: compound optimization in early and late phase drug discovery. Curr Top Med Chem 2001;1(5):353-66
-
(2001)
Curr Top Med Chem
, vol.1
, Issue.5
, pp. 353-366
-
-
Caldwell, G.W.1
Ritchie, D.M.2
Masucci, J.A.3
-
19
-
-
30744432123
-
Screening for reactive intermediates and toxicity assessment in drug discovery
-
Caldwell GW, Yan Z. Screening for reactive intermediates and toxicity assessment in drug discovery. Curr Opin Drug Discov Devel 2006;9(1):47-60
-
(2006)
Curr Opin Drug Discov Devel
, vol.9
, Issue.1
, pp. 47-60
-
-
Caldwell, G.W.1
Yan, Z.2
-
20
-
-
74049143211
-
ADME optimization and toxicity assessment in early- and late-phase drug discovery
-
Caldwell GW, Yan Z, Tang W, et al. ADME optimization and toxicity assessment in early- and late-phase drug discovery. Curr Top Med Chem 2009;9(11):965-80
-
(2009)
Curr Top Med Chem
, vol.9
, Issue.11
, pp. 965-980
-
-
Caldwell, G.W.1
Yan, Z.2
Tang, W.3
-
21
-
-
84901946024
-
Lessons learned from the fate of AstraZeneca's drug pipeline: A fivedimensional framework
-
Cook D, Brown D, Alexander R, et al. Lessons learned from the fate of AstraZeneca's drug pipeline: a fivedimensional framework. Nat Rev Drug Discov 2014;13(6):419-31
-
(2014)
Nat Rev Drug Discov
, vol.13
, Issue.6
, pp. 419-431
-
-
Cook, D.1
Brown, D.2
Alexander, R.3
-
22
-
-
84896403739
-
Reducing attrition in drug development: Smart loading preclinical safety assessment
-
Roberts RA, Kavanagh SL, Mellor HR, et al. Reducing attrition in drug development: smart loading preclinical safety assessment. Drug Discov Today 2014;19(3):341-7
-
(2014)
Drug Discov Today
, vol.19
, Issue.3
, pp. 341-347
-
-
Roberts, R.A.1
Kavanagh, S.L.2
Mellor, H.R.3
-
23
-
-
84925285086
-
A decade of innovation in pharmaceutical R&D: The Chorus model
-
Owens PK, Raddad E, Miller JW, et al. A decade of innovation in pharmaceutical R&D: the Chorus model. Nat Rev Drug Discov 2015;14(1):17-28
-
(2015)
Nat Rev Drug Discov
, vol.14
, Issue.1
, pp. 17-28
-
-
Owens, P.K.1
Raddad, E.2
Miller, J.W.3
-
24
-
-
84905209182
-
Tracking 20 years of compound-to-target output from literature and patents
-
Southan C, Varkonyi P, Boppana K, et al. Tracking 20 Years of Compound-to-Target Output from Literature and Patents. PLoS One 2013;8(10):e77142
-
(2013)
PLoS One
, vol.8
, Issue.10
, pp. e77142
-
-
Southan, C.1
Varkonyi, P.2
Boppana, K.3
-
25
-
-
84897989731
-
Collaborative precompetitive preclinical drug discovery with academics and pharma/biotech partners at sanford|burnham: Infrastructure, capabilities & operational models
-
Chung TDY. Collaborative precompetitive preclinical drug discovery with academics and pharma/biotech partners at sanford|burnham: infrastructure, capabilities & operational models. Comb Chem High Throughput Screen 2014;17(3):272-89
-
(2014)
Comb Chem High Throughput Screen
, vol.17
, Issue.3
, pp. 272-289
-
-
Chung, T.D.Y.1
-
26
-
-
37749002867
-
Case study: Impact of technology investment on lead discovery at Bristol-Myers Squibb, 1998-2006
-
Houston JG, Banks MN, Binnie A. Case study: impact of technology investment on lead discovery at Bristol-Myers Squibb, 1998-2006. Drug Discov Today 2008;13(1-2):44-51
-
(2008)
Drug Discov Today
, vol.13
, Issue.1-2
, pp. 44-51
-
-
Houston, J.G.1
Banks, M.N.2
Binnie, A.3
-
27
-
-
84909595941
-
Screening technologies for small molecule discovery: The state of the art
-
Janzen WP. Screening technologies for small molecule discovery: the state of the art. Chem Biol 2014;21(9):1162-70
-
(2014)
Chem Biol
, vol.21
, Issue.9
, pp. 1162-1170
-
-
Janzen, W.P.1
-
28
-
-
84858308226
-
Natural products as sources of new drugs over the 30 years from 1981 to 2010
-
Newman DJ, Cragg GM. Natural products as sources of new drugs over the 30 years from 1981 to 2010. J Nat Prod 2012;75(3):311-35
-
(2012)
J Nat Prod
, vol.75
, Issue.3
, pp. 311-335
-
-
Newman, D.J.1
Cragg, G.M.2
-
29
-
-
84861490509
-
Modern phenotypic drug discovery is a viable, neoclassic pharma strategy
-
Lee JA, Uhlik MT, Moxham CM, et al. Modern phenotypic drug discovery is a viable, neoclassic pharma strategy. J Med Chem 2012;55(10):4527-38
-
(2012)
J Med Chem
, vol.55
, Issue.10
, pp. 4527-4538
-
-
Lee, J.A.1
Uhlik, M.T.2
Moxham, C.M.3
-
30
-
-
41149095997
-
Preclinical development of therapeutic biologics
-
Baumann A. Preclinical development of therapeutic biologics. Expert Opin Drug Discov 2008;3(3):289-97
-
(2008)
Expert Opin Drug Discov
, vol.3
, Issue.3
, pp. 289-297
-
-
Baumann, A.1
-
31
-
-
84937685810
-
The role of biomarkers in drug discovery and development: Enabling PK/PD
-
Lyubimov AV, Rodrigues AD, Sinz MA, editors. John Wiley and Sons; Hoboken, (NJ)
-
Szekely-Klepser G, Kindt E. The role of biomarkers in drug discovery and development: enabling PK/PD. In: Lyubimov AV, Rodrigues AD, Sinz MA, editors. Encyclopedia of drug metabolism and interactions. John Wiley and Sons; Hoboken, (NJ): 2012. p. 577-98
-
(2012)
Encyclopedia of Drug Metabolism and Interactions
, pp. 577-598
-
-
Szekely-Klepser, G.1
Kindt, E.2
-
32
-
-
78650345652
-
Proof of concept: Network and systems biology approaches aid in the discovery of potent anticancer drug combinations
-
Azmi AS, Wang Z, Philip PA, et al. Proof of Concept: Network and Systems Biology Approaches Aid in the Discovery of Potent Anticancer Drug Combinations. Mol Cancer Ther 2010;9(12):3137-44
-
(2010)
Mol Cancer Ther
, vol.9
, Issue.12
, pp. 3137-3144
-
-
Azmi, A.S.1
Wang, Z.2
Philip, P.A.3
-
33
-
-
84902106571
-
High-content analysis in toxicology: Screening substances for human toxicity potential, elucidating subcellular mechanisms and in vivo use as translational safety
-
O'Brien PJ. High-content analysis in toxicology: screening substances for human toxicity potential, elucidating subcellular mechanisms and in vivo use as translational safety. Basic Clin Pharmacol Toxicol 2014;115(1):4-17
-
(2014)
Basic Clin Pharmacol Toxicol
, vol.115
, Issue.1
, pp. 4-17
-
-
O'Brien, P.J.1
-
34
-
-
84892365294
-
Translational paradigms in pharmacology and drug discovery
-
Mullane K, Winquist RJ, Williams M. Translational paradigms in pharmacology and drug discovery. Biochem Pharmacol 2014;87(1):189-210
-
(2014)
Biochem Pharmacol
, vol.87
, Issue.1
, pp. 189-210
-
-
Mullane, K.1
Winquist, R.J.2
Williams, M.3
-
35
-
-
84871967576
-
Polypharmacology: Drug discovery for the future
-
Reddy AS, Zhang S. Polypharmacology: drug discovery for the future. Expert Rev Clin Pharmacol 2013;6(1):41-7
-
(2013)
Expert Rev Clin Pharmacol
, vol.6
, Issue.1
, pp. 41-47
-
-
Reddy, A.S.1
Zhang, S.2
-
36
-
-
65649122673
-
Reverse pharmacology and systems approaches for drug discovery and development
-
Patwardhan B, Vaidya ADB, Chorghade M, Joshi SP. Reverse pharmacology and systems approaches for drug discovery and development. Curr Bioactive Compounds 2008;4(4):201-12
-
(2008)
Curr Bioactive Compounds
, vol.4
, Issue.4
, pp. 201-212
-
-
Patwardhan, B.1
Vaidya, A.D.B.2
Chorghade, M.3
Joshi, S.P.4
-
42
-
-
79953740679
-
Enhancing ties between academia and industry to improve health
-
Johnston SC, Hauser SL, Desmond-Hellmann S. Enhancing ties between academia and industry to improve health. Nat Med 2011;17(4):434-6
-
(2011)
Nat Med
, vol.17
, Issue.4
, pp. 434-436
-
-
Johnston, S.C.1
Hauser, S.L.2
Desmond-Hellmann, S.3
-
43
-
-
66149103673
-
Biochemical markers and the FDA critical path: How biomarkers may contribute to the understanding of pathophysiology and provide unique and necessary tools for drug development
-
Karsdal MA, Henriksen K, Leeming DJ. Biochemical markers and the FDA Critical Path: How biomarkers may contribute to the understanding of pathophysiology and provide unique and necessary tools for drug development. Biomarkers 2009;14(3):181-202
-
(2009)
Biomarkers
, vol.14
, Issue.3
, pp. 181-202
-
-
Karsdal, M.A.1
Henriksen, K.2
Leeming, D.J.3
-
44
-
-
23044510049
-
New paradigm in dose-finding trials: Patient-specific dosing and beyond phase I
-
Rogatko A, Babb JS, Tighiouart M, et al. New paradigm in dose-finding trials: patient-specific dosing and beyond phase I. Clin Cancer Res 2005;11(15):5342-6
-
(2005)
Clin Cancer Res
, vol.11
, Issue.15
, pp. 5342-5346
-
-
Rogatko, A.1
Babb, J.S.2
Tighiouart, M.3
-
45
-
-
84905399209
-
Statistical refocusing in the design of Phase II trials offers promise of increased R&D productivity
-
Lindborg SR, Persinger CC, Sashegyi A, et al. Statistical refocusing in the design of Phase II trials offers promise of increased R&D productivity. Nat Rev Drug Discov 2014;13(8):638-40
-
(2014)
Nat Rev Drug Discov
, vol.13
, Issue.8
, pp. 638-640
-
-
Lindborg, S.R.1
Persinger, C.C.2
Sashegyi, A.3
-
46
-
-
84907899428
-
Natural product and natural product derived drugs in clinical trials
-
Butler MS, Robertson AAB, Cooper MA. Natural product and natural product derived drugs in clinical trials. Nat Prod Rep 2014;31(11):1612-61
-
(2014)
Nat Prod Rep
, vol.31
, Issue.11
, pp. 1612-1661
-
-
Butler, M.S.1
Robertson, A.A.B.2
Cooper, M.A.3
-
48
-
-
80051960826
-
How to improve the clinical development paradigm and its division into phases I, II and III
-
Bamberger M, Moore N, Lechat P. How to improve the clinical development paradigm and its division into phases I, II and III. Therapie 2011;66(4):327-34
-
(2011)
Therapie
, vol.66
, Issue.4
, pp. 327-334
-
-
Bamberger, M.1
Moore, N.2
Lechat, P.3
-
51
-
-
79956035553
-
Does process excellence handcuff drug development?
-
Koenig J. Does process excellence handcuff drug development? Drug Discov Today 2011;16(9-10):377-81
-
(2011)
Drug Discov Today
, vol.16
, Issue.9-10
, pp. 377-381
-
-
Koenig, J.1
-
52
-
-
84907223823
-
National trends in prescription drug expenditures and projections for 2014
-
Schumock GT, Li EC, Suda KJ, et al. National trends in prescription drug expenditures and projections for 2014. Am J Health Syst Pharm 2014;71(6):482-99
-
(2014)
Am J Health Syst Pharm
, vol.71
, Issue.6
, pp. 482-499
-
-
Schumock, G.T.1
Li, E.C.2
Suda, K.J.3
-
53
-
-
79955104805
-
Balancing influence between actors in healthcare decision making
-
Kaplan RM, Babad YM. Balancing influence between actors in healthcare decision making. BMC Health Serv Res 2011;11(85):1-14
-
(2011)
BMC Health Serv Res
, vol.11
, Issue.85
, pp. 1-14
-
-
Kaplan, R.M.1
Babad, Y.M.2
-
54
-
-
84908141856
-
Pharmaceutical portfolio management: Global disease burden and corporate performance metrics
-
Rutger D, Edith M, Maneesha M, et al. Pharmaceutical portfolio management: global disease burden and corporate performance metrics. Int Soc Pharmacoeconomics Outcomes Res 2014;17(6):732-8
-
(2014)
Int Soc Pharmacoeconomics Outcomes Res
, vol.17
, Issue.6
, pp. 732-738
-
-
Rutger, D.1
Edith, M.2
Maneesha, M.3
-
55
-
-
79960982560
-
The impact of mergers on pharmaceutical R&D
-
LaMattina JL. The impact of mergers on pharmaceutical R&D. Nat Rev Drug Discov 2011;10(8):559-60
-
(2011)
Nat Rev Drug Discov
, vol.10
, Issue.8
, pp. 559-560
-
-
LaMattina, J.L.1
-
56
-
-
84855383596
-
A decade of change
-
Arrowsmith J. A decade of change. Nat Rev Drug Discov 2012;11(1):17-18
-
(2012)
Nat Rev Drug Discov
, vol.11
, Issue.1
, pp. 17-18
-
-
Arrowsmith, J.1
-
68
-
-
80053471789
-
The influence of the 'organizational factor' on compound quality in drug discovery
-
Leeson PD, St-Gallay SA. The influence of the 'organizational factor' on compound quality in drug discovery. Nat Rev Drug Discov 2011;10(10):749-65
-
(2011)
Nat Rev Drug Discov
, vol.10
, Issue.10
, pp. 749-765
-
-
Leeson, P.D.1
St-Gallay, S.A.2
-
69
-
-
84883880887
-
Look back in anger - What clinical studies tell us about preclinical work
-
Hartung T. Look back in anger - what clinical studies tell us about preclinical work. ALTEX 2013;30(3):275-91
-
(2013)
ALTEX
, vol.30
, Issue.3
, pp. 275-291
-
-
Hartung, T.1
-
70
-
-
79951967029
-
Principles of early drug discovery
-
Hughes JP, Rees S, Kalindjian SB, Philpott KL. Principles of early drug discovery. Br J Pharmacol 2011;162(6):1239-49
-
(2011)
Br J Pharmacol
, vol.162
, Issue.6
, pp. 1239-1249
-
-
Hughes, J.P.1
Rees, S.2
Kalindjian, S.B.3
Philpott, K.L.4
-
72
-
-
80054923170
-
Modern drug discovery technologies: Opportunities and challenges in lead discovery
-
Guido RVC, Oliva G, Andricopulo AD. Modern drug discovery technologies: opportunities and challenges in lead discovery. Comb Chem High Throughput Screen 2011;14(10):830-9
-
(2011)
Comb Chem High Throughput Screen
, vol.14
, Issue.10
, pp. 830-839
-
-
Guido, R.V.C.1
Oliva, G.2
Andricopulo, A.D.3
-
73
-
-
84857922851
-
Identification and validation of protein targets of bioactive small molecules
-
Titov DV, Liu JO. Identification and validation of protein targets of bioactive small molecules. Bioorgan Med Chem 2012;20(6):1902-9
-
(2012)
Bioorgan Med Chem
, vol.20
, Issue.6
, pp. 1902-1909
-
-
Titov, D.V.1
Liu, J.O.2
-
74
-
-
84879931841
-
Use of genomics and proteomics in pharmaceutical drug discovery and development: A review
-
Sharma N, Harikumar SL. Use of genomics and proteomics in pharmaceutical drug discovery and development: a review. Int J Pharm Pharmaceut Sci 2013;5(3):24-8
-
(2013)
Int J Pharm Pharmaceut Sci
, vol.5
, Issue.3
, pp. 24-28
-
-
Sharma, N.1
Harikumar, S.L.2
-
76
-
-
84920067895
-
Computational methods for microRNA target prediction
-
Ekimler S, Sahin K. Computational methods for microRNA target prediction. Genes 2014;5(3):671-83
-
(2014)
Genes
, vol.5
, Issue.3
, pp. 671-683
-
-
Ekimler, S.1
Sahin, K.2
-
77
-
-
84856385436
-
Established and emerging trends in computational drug discovery in the structural genomics era
-
Taboureau O, Baell JB, Fernandez-Recio J, Villoutreix BO. Established and emerging trends in computational drug discovery in the structural genomics era. Chem Biol 2012;19(1):29-41
-
(2012)
Chem Biol
, vol.19
, Issue.1
, pp. 29-41
-
-
Taboureau, O.1
Baell, J.B.2
Fernandez-Recio, J.3
Villoutreix, B.O.4
-
78
-
-
78649525086
-
Evaluation of various inverse docking schemes in multiple targets identification
-
Liu H-F, Shen Q, Zhang J, Fu W. Evaluation of various inverse docking schemes in multiple targets identification. J Mol Graph Model 2010;29(3):326-30
-
(2010)
J Mol Graph Model
, vol.29
, Issue.3
, pp. 326-330
-
-
Liu, H.-F.1
Shen, Q.2
Zhang, J.3
Fu, W.4
-
79
-
-
84864987097
-
Target fishing and docking studies of the novel derivatives of aryl-aminopyridines with potential anticancer activity
-
Eric S, Ke S, Barata T, et al. Target fishing and docking studies of the novel derivatives of aryl-aminopyridines with potential anticancer activity. Bioorgan Med Chem 2012;20(17):5220-8
-
(2012)
Bioorgan Med Chem
, vol.20
, Issue.17
, pp. 5220-5228
-
-
Eric, S.1
Ke, S.2
Barata, T.3
-
80
-
-
81055140589
-
From in silico target prediction to multi-target drug design: Current databases, methods and applications
-
Koutsoukas A, Simms B, Kirchmair J, et al. From in silico target prediction to multi-target drug design: current databases, methods and applications. J Proteomics 2011;74(12):2554-257
-
(2011)
J Proteomics
, vol.74
, Issue.12
, pp. 2554-3257
-
-
Koutsoukas, A.1
Simms, B.2
Kirchmair, J.3
-
81
-
-
84909595941
-
Screening technologies for small molecule discovery: The state of the art
-
Janzen WP. Screening technologies for small molecule discovery: the state of the art. Chem Biol 2014;21(9):1162-70
-
(2014)
Chem Biol
, vol.21
, Issue.9
, pp. 1162-1170
-
-
Janzen, W.P.1
-
82
-
-
79952131874
-
Impact of high-throughput screening in biomedical research
-
Macarron R, Banks MN, Bojanic D, et al. Impact of high-throughput screening in biomedical research. Nat Rev Drug Discov 2011;10(3):188-95
-
(2011)
Nat Rev Drug Discov
, vol.10
, Issue.3
, pp. 188-195
-
-
MacArron, R.1
Banks, M.N.2
Bojanic, D.3
-
83
-
-
84904686062
-
Overview of recent progress in protein-expression technologies for small-molecule screening
-
Cuozzo JW, Soutter H H. Overview of recent progress in protein-expression technologies for small-molecule screening. J Biomol Screen 2014;19(7):1000-13
-
(2014)
J Biomol Screen
, vol.19
, Issue.7
, pp. 1000-1013
-
-
Cuozzo, J.W.1
Soutter, H.H.2
-
84
-
-
79955637690
-
Rational methods for the selection of diverse screening compounds
-
Huggins DJ, Venkitaraman AR, Spring DR. Rational methods for the selection of diverse screening compounds. ACS Chem Biol 2011;6(3):208-17
-
(2011)
ACS Chem Biol
, vol.6
, Issue.3
, pp. 208-217
-
-
Huggins, D.J.1
Venkitaraman, A.R.2
Spring, D.R.3
-
85
-
-
84861736058
-
Small molecule compound logistics outsourcing - Going beyond the "thought experiment"
-
Ramsay DL, Kwasnoski JD, Caldwell GW. Small molecule compound logistics outsourcing - going beyond the "thought experiment". Curr Top Med Chem 2012;12(11):1298-308
-
(2012)
Curr Top Med Chem
, vol.12
, Issue.11
, pp. 1298-1308
-
-
Ramsay, D.L.1
Kwasnoski, J.D.2
Caldwell, G.W.3
-
87
-
-
34247194965
-
Virtual exploration of the chemical universe up to 11 atoms of C, N, O, F: Assembly of 26.4 million structures (110.9 million stereoisomers) and analysis for new ring systems, stereochemistry, physicochemical properties, compound classes, and drug discovery
-
Fink T, Reymond J-L. Virtual exploration of the chemical universe up to 11 atoms of C, N, O, F: assembly of 26.4 million structures (110.9 million stereoisomers) and analysis for new ring systems, stereochemistry, physicochemical properties, compound classes, and drug discovery. J Chem Inf Mod 2007;47(2):342-53
-
(2007)
J Chem Inf Mod
, vol.47
, Issue.2
, pp. 342-353
-
-
Fink, T.1
Reymond, J.-L.2
-
88
-
-
84871604633
-
Theoretical and experimental relationships between percent inhibition and IC50 data observed in highthroughput screening
-
Gubler H, Schopfer U, Jacoby E. Theoretical and experimental relationships between percent inhibition and IC50 data observed in highthroughput screening. J Biomol Screen 2013;18(1):1-13
-
(2013)
J Biomol Screen
, vol.18
, Issue.1
, pp. 1-13
-
-
Gubler, H.1
Schopfer, U.2
Jacoby, E.3
-
89
-
-
78951477121
-
Identifying actives from HTS data sets: Practical approaches for the selection of an appropriate HTS data-processing method and quality control review
-
Shun T Y, Lazo JS, Sharlow ER, Johnston PA. Identifying actives from HTS data sets: practical approaches for the selection of an appropriate HTS data-processing method and quality control review. J Biomol Screen 2011;16:1-14
-
(2011)
J Biomol Screen
, vol.16
, pp. 1-14
-
-
Shun, T.Y.1
Lazo, J.S.2
Sharlow, E.R.3
Johnston, P.A.4
-
90
-
-
78650674952
-
False positives in the early stages of drug discovery
-
Sink R, Gobec S, Pecar S, Zega A. False positives in the early stages of drug discovery. Curr Med Chem 2010;17(34):4231-55
-
(2010)
Curr Med Chem
, vol.17
, Issue.34
, pp. 4231-4255
-
-
Sink, R.1
Gobec, S.2
Pecar, S.3
Zega, A.4
-
91
-
-
84877945432
-
In silico pharmacology for a multidisciplinary drug discovery process
-
Ortega SS, Cara LCL, Salvador MK. In silico pharmacology for a multidisciplinary drug discovery process. Drug Metabol Drug Interact 2012;27(4):199-207
-
(2012)
Drug Metabol Drug Interact
, vol.27
, Issue.4
, pp. 199-207
-
-
Ortega, S.S.1
Cara, L.C.L.2
Salvador, M.K.3
-
92
-
-
84927728260
-
Discovery of a small-molecule inhibitor of STAT3 by ligand-based pharmacophore screening
-
Leung K-, Liu L-J, Lin S, et al. Discovery of a small-molecule inhibitor of STAT3 by ligand-based pharmacophore screening. Methods 2015;71:38-43
-
(2015)
Methods
, vol.71
, pp. 38-43
-
-
Leung, K.1
Liu, L.-J.2
Lin, S.3
-
93
-
-
84927729299
-
Recent advances in structure-based drug design and virtual screening of VEGFR tyrosine kinase inhibitors
-
Hoi PM, Li S, Vong CT, et al. Recent advances in structure-based drug design and virtual screening of VEGFR tyrosine kinase inhibitors. Methods 2015;71:85-91
-
(2015)
Methods
, vol.71
, pp. 85-91
-
-
Hoi, P.M.1
Li, S.2
Vong, C.T.3
-
95
-
-
78650352933
-
Quo vadis, virtual screening? A comprehensive survey of prospective applications
-
Ripphausen P, Nisius B, Peltason L, Bajorath J. Quo vadis, virtual screening? a comprehensive survey of prospective applications. J Med Chem 2010;53(24):8461-7
-
(2010)
J Med Chem
, vol.53
, Issue.24
, pp. 8461-8467
-
-
Ripphausen, P.1
Nisius, B.2
Peltason, L.3
Bajorath, J.4
-
98
-
-
84921306998
-
Virtual-screening targeting Human Immunodeficiency Virus type 1 integrase-lens epithelium-derived growth factor/p75 interaction for drug development
-
Gu W-G, Liu B-N, Yuan J-F. Virtual-screening targeting Human Immunodeficiency Virus type 1 integrase-lens epithelium-derived growth factor/p75 interaction for drug development. J Drug Target 2015;23(2):134-9
-
(2015)
J Drug Target
, vol.23
, Issue.2
, pp. 134-139
-
-
Gu, W.-G.1
Liu, B.-N.2
Yuan, J.-F.3
-
99
-
-
84926429326
-
Virtual screening for cholesterol absorption inhibitors
-
Sun L, Qian H, Huang W. Virtual screening for cholesterol absorption inhibitors. Med Chem 2015;11(1):2-12
-
(2015)
Med Chem
, vol.11
, Issue.1
, pp. 2-12
-
-
Sun, L.1
Qian, H.2
Huang, W.3
-
100
-
-
84927719289
-
Recent advances in virtual screening for drug discovery
-
Leung C-H, Ma D-L. Recent advances in virtual screening for drug discovery. Methods 2015;71:1-3
-
(2015)
Methods
, vol.71
, pp. 1-3
-
-
Leung, C.-H.1
Ma, D.-L.2
-
101
-
-
84855745383
-
Advances and applications of binding affinity predictions methods in drug discovery
-
Parentt MD, Rastelli G. Advances and applications of binding affinity predictions methods in drug discovery. Biotechnol Adv 2012;30:244-50
-
(2012)
Biotechnol Adv
, vol.30
, pp. 244-250
-
-
Parentt, M.D.1
Rastelli, G.2
-
102
-
-
84884237765
-
Hit identification and optimization in virtual screening: Practical recommendations based on a critical literature analysis
-
Zhu T, Cao S, Su P-C, et al. Hit identification and optimization in virtual screening: practical recommendations based on a critical literature analysis. J Med Chem 2013;56(17):6560-72
-
(2013)
J Med Chem
, vol.56
, Issue.17
, pp. 6560-6572
-
-
Zhu, T.1
Cao, S.2
Su, P.-C.3
-
103
-
-
84892596742
-
Improving the plausibility of success with inefficient metrics
-
Shult MD. Improving the plausibility of success with inefficient metrics. Med Chem Lett 2013;5:2-5
-
(2013)
Med Chem Lett
, vol.5
, pp. 2-5
-
-
Shult, M.D.1
-
104
-
-
84857921370
-
Identification and validation of bioactive small molecule target through phenotypic screening
-
Cho YS, Kwon HJ. Identification and validation of bioactive small molecule target through phenotypic screening. Bioorgan Med Chem 2012;20(6):1922-8
-
(2012)
Bioorgan Med Chem
, vol.20
, Issue.6
, pp. 1922-1928
-
-
Cho, Y.S.1
Kwon, H.J.2
-
105
-
-
84861490509
-
Modern phenotypic drug discovery is a viable, neoclassic pharma strategy
-
Lee JA, Uhlik MT, Moxham CM, et al. Modern phenotypic drug discovery is a viable, neoclassic pharma strategy. J Med Chem 2012;55(10):4527-38
-
(2012)
J Med Chem
, vol.55
, Issue.10
, pp. 4527-4538
-
-
Lee, J.A.1
Uhlik, M.T.2
Moxham, C.M.3
-
106
-
-
84905496728
-
Phenotypic screening in cancer drug discovery - Past, present and future
-
Moffat JG, Rudolph J, Bailey D. Phenotypic screening in cancer drug discovery - past, present and future. Nat Rev Drug Discov 2014;13(8):588-602
-
(2014)
Nat Rev Drug Discov
, vol.13
, Issue.8
, pp. 588-602
-
-
Moffat, J.G.1
Rudolph, J.2
Bailey, D.3
-
107
-
-
84894641359
-
Enrichment analysis for discovering biological associations in phenotypic screens
-
Polyakov VR, Moorcroft ND, Drawid A. Enrichment analysis for discovering biological associations in phenotypic screens. J Chem Inf Model 2014;54(2):377-86
-
(2014)
J Chem Inf Model
, vol.54
, Issue.2
, pp. 377-386
-
-
Polyakov, V.R.1
Moorcroft, N.D.2
Drawid, A.3
-
108
-
-
61649109015
-
The influence of lead discovery strategies on the properties of drug candidates
-
Keseru GM, Makara GM. The influence of lead discovery strategies on the properties of drug candidates. Nat Rev Drug Discov 2009;8(3):203-12
-
(2009)
Nat Rev Drug Discov
, vol.8
, Issue.3
, pp. 203-212
-
-
Keseru, G.M.1
Makara, G.M.2
-
109
-
-
1842689072
-
Pharmaceutical evaluation of early development candidates "the 100 mg-approach"
-
Balbach S, Korn C. Pharmaceutical evaluation of early development candidates "the 100 mg-approach". Int J Pharm 2004;275(1-2):1-12
-
(2004)
Int J Pharm
, vol.275
, Issue.1-2
, pp. 1-12
-
-
Balbach, S.1
Korn, C.2
-
110
-
-
84860359784
-
Finding the sweet spot: The role of nature and nurture in medicinal chemistry
-
Hann MM, Keseru GM. Finding the sweet spot: the role of nature and nurture in medicinal chemistry. Nat Rev Drug Discov 2012;11:355-65
-
(2012)
Nat Rev Drug Discov
, vol.11
, pp. 355-365
-
-
Hann, M.M.1
Keseru, G.M.2
-
111
-
-
47049121577
-
How large does a compound screening collection need to be?
-
Lipkin MJ, Stevens AP, Livingstone DJ, Harris CJ. How large does a compound screening collection need to be? Comb Chem High Throughput Screen 2008;11(6):482-93
-
(2008)
Comb Chem High Throughput Screen
, vol.11
, Issue.6
, pp. 482-493
-
-
Lipkin, M.J.1
Stevens, A.P.2
Livingstone, D.J.3
Harris, C.J.4
-
112
-
-
84861723498
-
The IC50 concept revisited
-
Caldwell GW, Yan Z, Lang W, Masucci J. The IC50 concept revisited. Curr Top Med Chem 2012;12(11):1282-90
-
(2012)
Curr Top Med Chem
, vol.12
, Issue.11
, pp. 1282-1290
-
-
Caldwell, G.W.1
Yan, Z.2
Lang, W.3
Masucci, J.4
-
113
-
-
84885172160
-
Setting expectations in molecular optimizations: Strengths and limitations of commonly used composite parameters
-
Shultz MD. Setting expectations in molecular optimizations: Strengths and limitations of commonly used composite parameters. Bioorgan Med Chem Lett 2013;23(21):5980-91
-
(2013)
Bioorgan Med Chem Lett
, vol.23
, Issue.21
, pp. 5980-5991
-
-
Shultz, M.D.1
-
114
-
-
77950560159
-
An analysis of the binding efficiencies of drugs and their leads in successful drug discovery programs
-
Perola E. An analysis of the binding efficiencies of drugs and their leads in successful drug discovery programs. J Med Chem 2010;53(7):2986-97
-
(2010)
J Med Chem
, vol.53
, Issue.7
, pp. 2986-2997
-
-
Perola, E.1
-
115
-
-
80053928594
-
What do chemists actually make? A 50-year retrospective
-
Walters WP, Green J, Weiss JR, Murcko MA. What do chemists actually make? A 50-year retrospective. J Med Chem 2011;54(19):6405-16
-
(2011)
J Med Chem
, vol.54
, Issue.19
, pp. 6405-6416
-
-
Walters, W.P.1
Green, J.2
Weiss, J.R.3
Murcko, M.A.4
-
116
-
-
4544338170
-
Assessment of the consistency of medicinal chemists in reviewing sets of compounds
-
Lajiness MS, Maggiora GM, Shanmugasundaram V. Assessment of the consistency of medicinal chemists in reviewing sets of compounds. J Med Chem 2004;47(20):4891-6
-
(2004)
J Med Chem
, vol.47
, Issue.20
, pp. 4891-4896
-
-
Lajiness, M.S.1
Maggiora, G.M.2
Shanmugasundaram, V.3
-
117
-
-
84869744217
-
Inside the mind of a medicinal chemist: The role of human bias in compound prioritization during drug discovery
-
Kutchukian PS, Vasilyeva NY, Xu J, et al. Inside the mind of a medicinal chemist: the role of human bias in compound prioritization during drug discovery. PLoS One 2012;7(11):e48476
-
(2012)
PLoS One
, vol.7
, Issue.11
, pp. e48476
-
-
Kutchukian, P.S.1
Vasilyeva, N.Y.2
Xu, J.3
-
118
-
-
0029894013
-
The properties of known drugs. 1. Molecular frameworks
-
Bemis GW, Murcko MA. The properties of known drugs. 1. Molecular frameworks. J Med Chem 1996;39(15):2887-93
-
(1996)
J Med Chem
, vol.39
, Issue.15
, pp. 2887-2893
-
-
Bemis, G.W.1
Murcko, M.A.2
-
119
-
-
84893307473
-
The role of ligand efficiency metrics in drug discovery
-
Hopkins AL, Keseru GM, Leeson D, et al. The role of ligand efficiency metrics in drug discovery. Nat Rev Drug Discov 2014;13(2):105-21
-
(2014)
Nat Rev Drug Discov
, vol.13
, Issue.2
, pp. 105-121
-
-
Hopkins, A.L.1
Keseru, G.M.2
Leeson, D.3
-
120
-
-
84929176531
-
A prospective method to guide small molecule drug design
-
Johnson AT. A prospective method to guide small molecule drug design. J Chem Educ 2014;doi: 10.1021/ed5002653
-
(2014)
J Chem Educ
-
-
Johnson, A.T.1
-
121
-
-
84856846240
-
Impact of lipophilic efficiency on compound quality
-
Tarcsay A, Nyiri K, Keseru GM. Impact of lipophilic efficiency on compound quality. J Med Chem 2012;55(3):1252-60
-
(2012)
J Med Chem
, vol.55
, Issue.3
, pp. 1252-1260
-
-
Tarcsay, A.1
Nyiri, K.2
Keseru, G.M.3
-
123
-
-
84856201851
-
Quantifying the chemical beauty of drugs
-
Bickerton GR, Paolini GV, Besnard J, et al. Quantifying the chemical beauty of drugs. Nat Chem 2012;4(2):90-8
-
(2012)
Nat Chem
, vol.4
, Issue.2
, pp. 90-98
-
-
Bickerton, G.R.1
Paolini, G.V.2
Besnard, J.3
-
124
-
-
84911446995
-
In silico machine learning methods in drug development
-
Dobchev DA, Pillai GG, Karelson M. In silico machine learning methods in drug development. Curr Top Med Chem 2014;14(16):1913-22
-
(2014)
Curr Top Med Chem
, vol.14
, Issue.16
, pp. 1913-1922
-
-
Dobchev, D.A.1
Pillai, G.G.2
Karelson, M.3
-
125
-
-
84857453039
-
The inevitable QSAR renaissance
-
Cramer RD. The inevitable QSAR renaissance. J Comput Aided Mol Des 2012;26(1):35-8
-
(2012)
J Comput Aided Mol des
, vol.26
, Issue.1
, pp. 35-38
-
-
Cramer, R.D.1
-
126
-
-
84889581795
-
Chemical predictive modelling to improve compound quality
-
Cumming JG, Davis AM, Muresan S, et al. Chemical predictive modelling to improve compound quality. Nat Rev Drug Discov 2013;12(12):948-62
-
(2013)
Nat Rev Drug Discov
, vol.12
, Issue.12
, pp. 948-962
-
-
Cumming, J.G.1
Davis, A.M.2
Muresan, S.3
-
127
-
-
84875799476
-
Quantitative structure-activity relationship models that stand the test of time
-
Davis AM, Wood DJ. Quantitative structure-activity relationship models that stand the test of time. Mol Pharm 2013;10(4):1183-90
-
(2013)
Mol Pharm
, vol.10
, Issue.4
, pp. 1183-1190
-
-
Davis, A.M.1
Wood, D.J.2
-
128
-
-
84897493756
-
Expert systems for toxicity prediction
-
Cronin MTD, Madden JC, editors. RSC Publishing; Cambridge (UK)
-
Dearden JC. Expert systems for toxicity prediction. In: Cronin MTD, Madden JC, editors. In silico toxicology. RSC Publishing; Cambridge (UK): 2010. p. 478-507
-
(2010)
Silico Toxicology
, pp. 478-507
-
-
Dearden, J.C.1
-
129
-
-
84866879823
-
The influence of lipophilicity in drug discovery and design
-
Arnott JA, Planey SL. The influence of lipophilicity in drug discovery and design. Expert Opin Drug Discov 2012;7(10):863-75
-
(2012)
Expert Opin Drug Discov
, vol.7
, Issue.10
, pp. 863-875
-
-
Arnott, J.A.1
Planey, S.L.2
-
130
-
-
84875802857
-
Physicochemical and DMPK in silico models: Facilitating their use by medicinal chemists
-
Ortwine DF, Aliagas I. Physicochemical and DMPK in silico models: facilitating their use by medicinal chemists. Mol Pharm 2013;10(4):1153-61
-
(2013)
Mol Pharm
, vol.10
, Issue.4
, pp. 1153-1161
-
-
Ortwine, D.F.1
Aliagas, I.2
-
131
-
-
84899881824
-
QSAR modeling: Where have you been? Where are you going
-
Cherkasov A, Muratov EN, Fourches D, et al. QSAR modeling: where have you been? where are you going. J Med Chem 2014;57(12):4977-5010
-
(2014)
J Med Chem
, vol.57
, Issue.12
, pp. 4977-5010
-
-
Cherkasov, A.1
Muratov, E.N.2
Fourches, D.3
-
132
-
-
84923538660
-
Accurate and reliable prediction of relative ligand binding potency in prospective drug discovery by way of a modern free-energy calculation protocol and force field
-
Wang L, Wu Y, Deng Y, et al. Accurate and reliable prediction of relative ligand binding potency in prospective drug discovery by way of a modern free-energy calculation protocol and force field. J Am Chem Soc 2015;137(7):2695-703
-
(2015)
J Am Chem Soc
, vol.137
, Issue.7
, pp. 2695-2703
-
-
Wang, L.1
Wu, Y.2
Deng, Y.3
-
133
-
-
84893736915
-
Exploring QSAR studies on 4-substituted quinazoline derivatives as antimalarial compounds for the development of predictive models
-
Mishra M, Mishra VK, Senger P, et al. Exploring QSAR studies on 4-substituted quinazoline derivatives as antimalarial compounds for the development of predictive models. Med Chem Res 2014;23(3):1397-405
-
(2014)
Med Chem Res
, vol.23
, Issue.3
, pp. 1397-1405
-
-
Mishra, M.1
Mishra, V.K.2
Senger, P.3
-
134
-
-
33846891907
-
In silico prediction of aqueous solubility
-
Dearden JC. In silico prediction of aqueous solubility. Expert Opin Drug Discov 2006;1(1):31-52
-
(2006)
Expert Opin Drug Discov
, vol.1
, Issue.1
, pp. 31-52
-
-
Dearden, J.C.1
-
135
-
-
72949117724
-
In silico prediction of aqueous solubility: The solubility challenge
-
Hewitt M, Cronin MTD, Enoch S.J, et al. In silico prediction of aqueous solubility: the solubility challenge. J Chem Inf Model 2009;49(11):2572-87
-
(2009)
J Chem Inf Model
, vol.49
, Issue.11
, pp. 2572-2587
-
-
Hewitt, M.1
Cronin, M.T.D.2
Enoch, S.J.3
-
136
-
-
84868582939
-
In silico prediction of aqueous solubility: A multimodel protocol based on chemical similarity
-
Chevillard F, Lagorce D, Reynes C, et al. In silico prediction of aqueous solubility: a multimodel protocol based on chemical similarity. Mol Pharm 2012;9(11):3127-35
-
(2012)
Mol Pharm
, vol.9
, Issue.11
, pp. 3127-3135
-
-
Chevillard, F.1
Lagorce, D.2
Reynes, C.3
-
137
-
-
84921646114
-
How experimental errors influence drug metabolism and pharmacokinetic QSAR/QSPR models
-
Wenlock MC, Carlsson LA. How experimental errors influence drug metabolism and pharmacokinetic QSAR/QSPR models. J Chem Inf Model 2015;55(1):125-34
-
(2015)
J Chem Inf Model
, vol.55
, Issue.1
, pp. 125-134
-
-
Wenlock, M.C.1
Carlsson, L.A.2
-
138
-
-
84903256345
-
Industrial applications of in silico ADMET
-
Beck B, Geppert T. Industrial applications of in silico ADMET. J Mol Model 2014;20(7):1-15
-
(2014)
J Mol Model
, vol.20
, Issue.7
, pp. 1-15
-
-
Beck, B.1
Geppert, T.2
-
139
-
-
84877987070
-
Pharmacokinetic properties and in silico ADME modeling in drug discovery
-
Honorio KM, Moda TL, Andricopulo AD. Pharmacokinetic properties and in silico ADME modeling in drug discovery. Med Chem 2013;9(2):163-76
-
(2013)
Med Chem
, vol.9
, Issue.2
, pp. 163-176
-
-
Honorio, K.M.1
Moda, T.L.2
Andricopulo, A.D.3
-
140
-
-
84881360676
-
In silico ADMET prediction: Recent advances, current challenges and future trends
-
Cheng F, Li W, Liu G, Tang Y. In silico ADMET prediction: recent advances, current challenges and future trends. Curr Top Med Chem 2013;13(11):1273-89
-
(2013)
Curr Top Med Chem
, vol.13
, Issue.11
, pp. 1273-1289
-
-
Cheng, F.1
Li, W.2
Liu, G.3
Tang, Y.4
-
141
-
-
79551667504
-
In-silico ADME models: A general assessment of their utility in drug discovery applications
-
Gleeson MP, Hersey A, Hannongbua S. In-silico ADME models: a general assessment of their utility in drug discovery applications. Curr Top Med Chem 2011;11(4):358-81
-
(2011)
Curr Top Med Chem
, vol.11
, Issue.4
, pp. 358-381
-
-
Gleeson, M.P.1
Hersey, A.2
Hannongbua, S.3
-
142
-
-
84861740169
-
The current status of time dependent CYP inhibition assay and in silico drug drug interaction predictions
-
Yan Z, Caldwell GW. The current status of time dependent CYP inhibition assay and in silico drug drug interaction predictions. Curr Top Med Chem 2012;12(11):1291-7
-
(2012)
Curr Top Med Chem
, vol.12
, Issue.11
, pp. 1291-1297
-
-
Yan, Z.1
Caldwell, G.W.2
-
143
-
-
84867510930
-
Strategies for the generation, validation and application of in silico ADMET models in lead generation and optimization
-
Gleeson MP, Montanari D. Strategies for the generation, validation and application of in silico ADMET models in lead generation and optimization. Expert Opin Drug Metabol Toxicol 2012;8(11):1435-46
-
(2012)
Expert Opin Drug Metabol Toxicol
, vol.8
, Issue.11
, pp. 1435-1446
-
-
Gleeson, M.P.1
Montanari, D.2
-
144
-
-
84877074929
-
Dose selection based on physiologically based pharmacokinetic (PBPK) approaches
-
Jones HM, Mayawala K, Poulin P. Dose selection based on physiologically based pharmacokinetic (PBPK) approaches. AAPS J 2013;15(2):377-87
-
(2013)
AAPS J
, vol.15
, Issue.2
, pp. 377-387
-
-
Jones, H.M.1
Mayawala, K.2
Poulin, P.3
-
146
-
-
84859978804
-
Physiologically-based pharmacokinetic (PBPK) models in toxicity testing and risk assessment
-
Lipscomb JC, Haddad S, Poet T, Krishnan K. Physiologically-based pharmacokinetic (PBPK) models in toxicity testing and risk assessment. Adv Exp Med Biol 2012;745:76-95
-
(2012)
Adv Exp Med Biol
, vol.745
, pp. 76-95
-
-
Lipscomb, J.C.1
Haddad, S.2
Poet, T.3
Krishnan, K.4
-
147
-
-
82955193794
-
Application of PBPK modelling in drug discovery and development at Pfizer
-
Jones HM, Dickins M, Youdim K, et al. Application of PBPK modelling in drug discovery and development at Pfizer. Xenobiotica 2012;42(1):94-106
-
(2012)
Xenobiotica
, vol.42
, Issue.1
, pp. 94-106
-
-
Jones, H.M.1
Dickins, M.2
Youdim, K.3
-
148
-
-
33644867602
-
Improving the hit-to-lead process: Data-driven assessment of drug-like and lead-like screening hits
-
Wunberg T, Hendrix M, Hillisch A, et al. Improving the hit-to-lead process: data-driven assessment of drug-like and lead-like screening hits. Drug Discov Today 2006;11(3-4):175-80
-
(2006)
Drug Discov Today
, vol.11
, Issue.3-4
, pp. 175-180
-
-
Wunberg, T.1
Hendrix, M.2
Hillisch, A.3
-
149
-
-
33745809902
-
Hit discovery and hit-to-lead approaches
-
Keseru GM, Makara GM. Hit discovery and hit-to-lead approaches. Drug Discov Today 2006;11(15-16):741-8
-
(2006)
Drug Discov Today
, vol.11
, Issue.15-16
, pp. 741-748
-
-
Keseru, G.M.1
Makara, G.M.2
-
150
-
-
39149087067
-
Strategies and tactics for optimizing the hit-to-lead process and beyond-A computational chemistry perspective
-
Manly CJ, Chandrasekhar J, Ochterski JW, et al. Strategies and tactics for optimizing the Hit-to-Lead process and beyond-a computational chemistry perspective. Drug Discov Today 2008;13(3-4):99-109
-
(2008)
Drug Discov Today
, vol.13
, Issue.3-4
, pp. 99-109
-
-
Manly, C.J.1
Chandrasekhar, J.2
Ochterski, J.W.3
-
151
-
-
84866241579
-
Early phase drug discovery: Cheminformatics and computational techniques in identifying lead series
-
Duffy BC, Zhu L, Decornez H, Kitchen DB. Early phase drug discovery: Cheminformatics and computational techniques in identifying lead series. Bioorgan Med Chem 2012;20(18):5324-42
-
(2012)
Bioorgan Med Chem
, vol.20
, Issue.18
, pp. 5324-5342
-
-
Duffy, B.C.1
Zhu, L.2
Decornez, H.3
Kitchen, D.B.4
-
152
-
-
84890448541
-
Multi-parameter optimization in drug discovery
-
Segall M. Multi-parameter optimization in drug discovery. Innov Pharm Technol 2011;39:42-6
-
(2011)
Innov Pharm Technol
, vol.39
, pp. 42-46
-
-
Segall, M.1
-
153
-
-
77953675980
-
Moving beyond rules: The development of a central nervous system multiparameter optimization (CNS MPO) approach to enable alignment of druglike properties
-
Wagner TT, Hou X, Verhoest PR, Villalobos A. Moving beyond rules: the development of a central nervous system multiparameter optimization (CNS MPO) approach to enable alignment of druglike properties. ACS Chem Neurosci 2010;1(6):435-49
-
(2010)
ACS Chem Neurosci
, vol.1
, Issue.6
, pp. 435-449
-
-
Wagner, T.T.1
Hou, X.2
Verhoest, P.R.3
Villalobos, A.4
-
154
-
-
84861613380
-
Should medicinal chemists do molecular modelling?
-
Ritchie TJ, McLay IM. Should medicinal chemists do molecular modelling? Drug Discov Today 2012;17(11-12):534-7
-
(2012)
Drug Discov Today
, vol.17
, Issue.11-12
, pp. 534-537
-
-
Ritchie, T.J.1
McLay, I.M.2
|