-
1
-
-
0036740917
-
Why do we need so many chemical similarity search methods? Drug Discov
-
Sheridan, R.P.; Kearsley, S.K. Why do we need so many chemical similarity search methods? Drug Discov. Today, 2002, 7(17), 903-911.
-
(2002)
Today
, vol.7
, Issue.17
, pp. 903-911
-
-
Sheridan, R.P.1
Kearsley, S.K.2
-
2
-
-
77956964002
-
Best Practices for QSAR model development, valida- tion, and exploitation
-
Tropsha, A. Best Practices for QSAR model development, valida- tion, and exploitation. Mol. Inf., 2010, 29(6-7), 476-488,
-
(2010)
Mol. Inf
, vol.29
, Issue.6-7
, pp. 476-488
-
-
Tropsha, A.1
-
3
-
-
36949022890
-
Predictive QSAR modeling workflow, model applicability domains, and virtual screening
-
Tropsha, A.; Golbraikh, A. Predictive QSAR modeling workflow, model applicability domains, and virtual screening. Curr. Pharm. Des., 2007, 13(34), 3494-3504.
-
(2007)
Curr. Pharm. Des.
, vol.13
, Issue.34
, pp. 3494-3504
-
-
Tropsha, A.1
Golbraikh, A.2
-
4
-
-
33645923096
-
Computational methods in developing quantitative structure-activity relationships (QSAR): A review
-
Dudek, A.Z.; Arodz, T.; Gálvez, J. Computational methods in developing quantitative structure-activity relationships (QSAR): A review. Comb. Chem. High T. Scr., 2006, 9(3) 213-228.
-
(2006)
Comb. Chem. High T. Scr.
, vol.9
, Issue.3
, pp. 213-228
-
-
Dudek, A.Z.1
Arodz, T.2
Gálvez, J.3
-
5
-
-
77956964002
-
Best practices for QSAR model development, valida- tion, and exploitation
-
Tropsha, A. Best practices for QSAR model development, valida- tion, and exploitation. Mol. Inform., 2010, 29(6-7), 476-488.
-
(2010)
Mol. Inform.
, vol.29
, Issue.6-7
, pp. 476-488
-
-
Tropsha, A.1
-
6
-
-
84876726475
-
QSAR study for carcinogenicity in a large set of organic compounds
-
Duchowicz, P.R.; Comelli, N.C.; Ortiz, E.V.; Castro, E.A. QSAR study for carcinogenicity in a large set of organic compounds. Curr. Drug Saf., 2012, 7(4) 282-288.
-
(2012)
Curr. Drug Saf.
, vol.7
, Issue.4
, pp. 282-288
-
-
Duchowicz, P.R.1
Comelli, N.C.2
Ortiz, E.V.3
Castro, E.A.4
-
7
-
-
84863974131
-
An integrated drug development approach applying topological descriptors
-
Talevi, A.; Bellera, C.L.; Ianni, M.D.; Duchowicz, P.R.; Bruno- Blanch, L.E.; Castro, E.A. An integrated drug development approach applying topological descriptors. Curr. Comput. Aided Drug Des., 2012, 8(3), 172-181.
-
(2012)
Curr. Comput. Aided Drug Des.
, vol.8
, Issue.3
, pp. 172-181
-
-
Talevi, A.1
Bellera, C.L.2
Ianni, M.D.3
Duchowicz, P.R.4
Bruno- Blanch, L.E.5
Castro, E.A.6
-
8
-
-
0035353648
-
New descriptor for structure-property and structure-activity correlations
-
Randic, M.; Basak, S.C. New descriptor for structure-property and structure-activity correlations, J. Chem. Inf. Comput. Sci., 2010, 41(3), 650-656.
-
(2010)
J. Chem. Inf. Comput. Sci.
, vol.41
, Issue.3
, pp. 650-656
-
-
Randic, M.1
Basak, S.C.2
-
9
-
-
0035353664
-
The variable connectivity index 1Xf versus the traditional molecular descriptors: A comparative study of 1Xf against descriptors of CODESSA
-
Randic, M.; Pompe, M. The variable connectivity index 1Xf versus the traditional molecular descriptors: A comparative study of 1Xf against descriptors of CODESSA. J. Chem. Inf. Comput. Sci., 2011, 41(3), 631-638.
-
(2011)
J. Chem. Inf. Comput. Sci.
, vol.41
, Issue.3
, pp. 631-638
-
-
Randic, M.1
Pompe, M.2
-
10
-
-
33646251370
-
Semi-empirical topological index: A tool for QSPR/QSAR studies
-
da Silva Junkes, B.; Arruda, A.C.S.; Yunes, R.A.; Porto, L.C.; Heinzen, V.E.F. Semi-empirical topological index: A tool for QSPR/QSAR studies. J. Mol. Model., 2005, 11(2), 128-134.
-
(2005)
J. Mol. Model.
, vol.11
, Issue.2
, pp. 128-134
-
-
Da Silva Junkes, B.1
Arruda, A.2
Yunes, R.A.3
Porto, L.C.4
Heinzen, V.5
-
11
-
-
0001334151
-
QSAR comparative study of wiener descriptors for weighted molecular graphs
-
Ivanciuc, O. QSAR comparative study of wiener descriptors for weighted molecular graphs. J. Chem. Inf. Comput. Sci., 2000, 40(6), 1412-1422.
-
(2000)
J. Chem. Inf. Comput. Sci.
, vol.40
, Issue.6
, pp. 1412-1422
-
-
Ivanciuc, O.1
-
12
-
-
84888025120
-
Chemical graphs, molecular matrices and topological indices in chemoinformatics and quantitative structure–activity relationships
-
Ivanciuc, O. Chemical graphs, molecular matrices and topological indices in chemoinformatics and quantitative structure–activity relationships. Curr. Comput. Aided Drug Des., 2013, 9(2), 153-163.
-
(2013)
Curr. Comput. Aided Drug Des.
, vol.9
, Issue.2
, pp. 153-163
-
-
Ivanciuc, O.1
-
13
-
-
0023965741
-
SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules
-
Weininger, D. SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules. J. Chem. Inf. Comput. Sci., 1988, 28(1), 31-36.
-
(1988)
J. Chem. Inf. Comput. Sci
, vol.28
, Issue.1
, pp. 31-36
-
-
Weininger, D.1
-
14
-
-
0024664539
-
SMILES. 2. Algorithm for generation of unique SMILES notation
-
Weininger, D.; Weininger, A.; Weininger, J.L. SMILES. 2. Algorithm for generation of unique SMILES notation. J. Chem. Inf. Comput. Sci., 1989, 29(2), 1989, 97-101.
-
(1989)
J. Chem. Inf. Comput. Sci., 1989
, vol.29
, Issue.2
, pp. 97-101
-
-
Weininger, D.1
Weininger, A.2
Weininger, J.L.3
-
15
-
-
0000144425
-
SMILES. 3. Depict. Graphical depiction of chemical structures
-
Weininger, D. (1990) SMILES. 3. Depict. Graphical depiction of chemical structures. J. Chem. Inf. Comput. Sci., 1990, 30(3), 237–243.
-
(1990)
J. Chem. Inf. Comput. Sci
, vol.30
, Issue.3
, pp. 237-243
-
-
Weininger, D.1
-
16
-
-
34548442080
-
SMILES in QSPR/QSAR modeling: Results and perspectives
-
Toropov, A.A.; Benfenati, E. SMILES in QSPR/QSAR modeling: results and perspectives. Curr. Drug Discov. Technol., 2007, 4(2), 77-116.
-
(2007)
Curr. Drug Discov. Technol.
, vol.4
, Issue.2
, pp. 77-116
-
-
Toropov, A.A.1
Benfenati, E.2
-
17
-
-
33846861802
-
SMILES as an alternative to the graph in QSAR modelling of bee toxicity
-
Toropov A.A.; Benfenati, E. SMILES as an alternative to the graph in QSAR modelling of bee toxicity. Comput Biol. Chem., 2007, 31(1), 57-60.
-
(2007)
Comput Biol. Chem.
, vol.31
, Issue.1
, pp. 57-60
-
-
Toropov, A.A.1
Benfenati, E.2
-
18
-
-
84872029419
-
QSAR modeling of endpoints for peptides which is based on representation of the molecular structure by a sequence of amino acids
-
Toropov, A.A.; Toropova, A.P.; Raska Jr, I., Benfenati, E., Gini, G. (2012) QSAR modeling of endpoints for peptides which is based on representation of the molecular structure by a sequence of amino acids. Struct. Chem., 2012, 23(6), 1891-1904.
-
(2012)
Struct. Chem.
, vol.23
, Issue.6
, pp. 1891-1904
-
-
Toropov, A.A.1
Toropova, A.P.2
Raska, I.3
Benfenati, E.4
Gini, G.5
-
19
-
-
80055118671
-
SMILES-based QSAR approaches for car-cinogenicity and anticancer activity: Comparison of correlation weights for identical SMILES attributes
-
Toropov, A.A.; Toropova, A.P.; Benfenati, E.; Gini, G; Leszczyn-ska, D.; Leszczynski, J. SMILES-based QSAR approaches for car-cinogenicity and anticancer activity: comparison of correlation weights for identical SMILES attributes. Anticancer Agents Med. Chem., 2011, 11(10), 974-982.
-
(2011)
Anticancer Agents Med. Chem.
, vol.11
, Issue.10
, pp. 974-982
-
-
Toropov, A.A.1
Toropova, A.P.2
Benfenati, E.3
Gini, G.4
Leszczyn-Ska, D.5
Leszczynski, J.6
-
20
-
-
84872580195
-
SMILES-based QSAR model for arylpiperazines as high-affinity 5-HT1A receptor ligands using CORAL
-
Veselinović, A.M.; Milosavljević, J.B.; Toropov, A.A.; Nikolić, G.M. SMILES-based QSAR model for arylpiperazines as high-affinity 5-HT1A receptor ligands using CORAL. Eur. J. Pharm. Sci., 2013, 48(3), 532-541.
-
(2013)
Eur. J. Pharm. Sci.
, vol.48
, Issue.3
, pp. 532-541
-
-
Veselinović, A.M.1
Milosavljević, J.B.2
Toropov, A.A.3
Nikolić, G.M.4
-
21
-
-
84863981347
-
Coral: QSPR Modeling of Rate Constants of Reactions Between Organic Aromatic Pollutants and Hydroxyl Radical
-
Toropov, A.A.; Toropova, A.P.; Rasulev, B.F.; Benfenati, E.; Gini, G.; Leszczynska, D.; Leszczynski, J. Coral: QSPR Modeling of Rate Constants of Reactions Between Organic Aromatic Pollutants and Hydroxyl Radical. J. Comput. Chem., 2012, 33(23), 1902-1906.
-
(2012)
J. Comput. Chem.
, vol.33
, Issue.23
, pp. 1902-1906
-
-
Toropov, A.A.1
Toropova, A.P.2
Rasulev, B.F.3
Benfenati, E.4
Gini, G.5
Leszczynska, D.6
Leszczynski, J.7
-
22
-
-
79959742537
-
CORAL: Quantitative structure-activity relationship models for estimating toxicity of organic compounds in rats
-
Toropova, A.P.; Toropov, A.A.; Benfenati, E.; Gini, G.; Leszczyn-ska, D.; Leszczynski, J. CORAL: Quantitative structure-activity relationship models for estimating toxicity of organic compounds in rats. J. Comput. Chem., 2011, 32(12), 2727-2733.
-
(2011)
J. Comput. Chem.
, vol.32
, Issue.12
, pp. 2727-2733
-
-
Toropova, A.P.1
Toropov, A.A.2
Benfenati, E.3
Gini, G.4
Leszczyn-Ska, D.5
Leszczynski, J.6
-
23
-
-
84876977479
-
QSAR as a random event: Modeling of nanoparticles uptake in PaCa2 cancer cells
-
Toropov, A.A.; Toropova, A.P.; Puzyn, T.; Benfenati, E.; Gini, G.; Leszczynska, D.; Leszczynski, J. QSAR as a random event: Modeling of nanoparticles uptake in PaCa2 cancer cells. Chemosphere, 2013, 92(1), Pages 31-37.
-
(2013)
Chemosphere
, vol.92
, Issue.1
, pp. 31-37
-
-
Toropov, A.A.1
Toropova, A.P.2
Puzyn, T.3
Benfenati, E.4
Gini, G.5
Leszczynska, D.6
Leszczynski, J.7
-
24
-
-
37349048522
-
On some aspects of validation of predictive quantitative structure activity relationship models. Expert. Opin
-
Roy, K. On some aspects of validation of predictive quantitative structure activity relationship models. Expert. Opin. Drug Dis., 2007, 2(12), 1567-1577.
-
(2007)
Drug Dis.
, vol.2
, Issue.12
, pp. 1567-1577
-
-
Roy, K.1
-
25
-
-
36749045167
-
Exploring the impact of the size of training sets for the development of predictive QSAR models
-
Roy, P.P.; Leonard, J.T.; Roy, K. Exploring the impact of the size of training sets for the development of predictive QSAR models. Chemom. Intell. Lab. Syst., 2008, 90(1), 31-42.
-
(2008)
Chemom. Intell. Lab. Syst.
, vol.90
, Issue.1
, pp. 31-42
-
-
Roy, P.P.1
Leonard, J.T.2
Roy, K.3
-
26
-
-
0036006911
-
Beware of q2
-
Golbraikh, A.; Tropsha, A. Beware of q2!, J. Mol. Graph. Model., 2002, 20(4) 269-276.
-
(2002)
J. Mol. Graph. Model.
, vol.20
, Issue.4
, pp. 269-276
-
-
Golbraikh, A.1
Tropsha, A.2
-
27
-
-
61849085398
-
QSAR studies of CYP2D6 inhibitor ary-loxypropanolamines using 2D and 3D descriptors
-
Roy, P.P.; Roy, K. QSAR studies of CYP2D6 inhibitor ary-loxypropanolamines using 2D and 3D descriptors. Chem. Biol. Drug Des., 2009, 73(4) 442-455.
-
(2009)
Chem. Biol. Drug Des.
, vol.73
, Issue.4
, pp. 442-455
-
-
Roy, P.P.1
Roy, K.2
-
28
-
-
79955650139
-
Further exploring rm2 metrics for validation of QSPR models. Chemometr
-
Ojha, P.K.; Mitra, I.; Das, R.N.; Roy, K. Further exploring rm2 metrics for validation of QSPR models. Chemometr. Intell. Lab. Syst., 2011, 107(1), 194-205.
-
(2011)
Intell. Lab. Syst.
, vol.107
, Issue.1
, pp. 194-205
-
-
Ojha, P.K.1
Mitra, I.2
Das, R.N.3
Roy, K.4
-
29
-
-
80055096902
-
Comparative QSARs for antimalarial endo-chins: Importance of descriptor-thinning and noise reduction prior to feature selection
-
Ojha, P.K.; Roy, K. Comparative QSARs for antimalarial endo-chins: importance of descriptor-thinning and noise reduction prior to feature selection. Chemometr. Intell. Lab. Syst., 2011, 109(2), 146-161.
-
(2011)
Chemometr. Intell. Lab. Syst.
, vol.109
, Issue.2
, pp. 146-161
-
-
Ojha, P.K.1
Roy, K.2
-
30
-
-
42749092988
-
The importance of the domain of applicability in QSAR modeling
-
Weaver, S.; Gleeson, M.P. The importance of the domain of applicability in QSAR modeling. J. Mol. Graph. Model., 2008, 26(8), 1315-1326.
-
(2008)
J. Mol. Graph. Model.
, vol.26
, Issue.8
, pp. 1315-1326
-
-
Weaver, S.1
Gleeson, M.P.2
-
31
-
-
34250628103
-
Principles of QSAR models validation: Internal and external
-
Gramatica, P. Principles of QSAR models validation: Internal and external. QSAR Comb. Sci., 2007, 26(5), 694-701.
-
(2007)
QSAR Comb. Sci.
, vol.26
, Issue.5
, pp. 694-701
-
-
Gramatica, P.1
-
32
-
-
43049147993
-
Additive SMILES-based optimal descriptors in QSAR modelling bee toxicity: Using rare SMILES attributes to define the applicability domain
-
Toropov, A.A.; Benfenati, E. Additive SMILES-based optimal descriptors in QSAR modelling bee toxicity: Using rare SMILES attributes to define the applicability domain. Bioorg. Med. Chem., 2008, 16(9), 4801-4809.
-
(2008)
Bioorg. Med. Chem.
, vol.16
, Issue.9
, pp. 4801-4809
-
-
Toropov, A.A.1
Benfenati, E.2
-
33
-
-
79952280908
-
CORAL: Building up the model for biocon-centration factor and defining it's applicability domain
-
Toropov, A.A.; Toropova, A.P.; Lombardo, A.; Roncaglioni, A.; Benfenati, E.; Gini, G. CORAL: building up the model for biocon-centration factor and defining it's applicability domain. Eur. J. Med. Chem., 2011, 46(4), 1400-1403.
-
(2011)
Eur. J. Med. Chem.
, vol.46
, Issue.4
, pp. 1400-1403
-
-
Toropov, A.A.1
Toropova, A.P.2
Lombardo, A.3
Roncaglioni, A.4
Benfenati, E.5
Gini, G.6
-
34
-
-
84896524477
-
QSAR models for HEPT derivates as NNRTI inhibitors based on Monte Carlo method
-
Toropova, A.P.; Toropov, A.A.; Veselinović, J.B.; Miljković, F.N.; Veselinović, A.M. QSAR models for HEPT derivates as NNRTI inhibitors based on Monte Carlo method. Eur. J, Med. Chem., 2014, 77, 298-305.
-
(2014)
Eur. J, Med. Chem.
, vol.77
, pp. 298-305
-
-
Toropova, A.P.1
Toropov, A.A.2
Veselinović, J.B.3
Miljković, F.N.4
Veselinović, A.M.5
-
35
-
-
84934754969
-
-
OECD, accessed on 15 January 2014
-
OECD. 2007 Quantitative Structure-Activity Relationships Project [(Q)SARs]. Available online http://search.oecd.org/ officialdocu-ments/displaydocumentpdf/?doclanguage=en&cote=env/jm/mono(2007)2 (accessed on 15 January 2014).
-
(2007)
2007 Quantitative Structure-Activity Relationships Project [(Q)Sars
, pp. 2
-
-
-
36
-
-
76149114231
-
SMILES-based optimal descriptors: QSAR analysis of fullerene-based HIV-1 PR inhibitors by means of balance of correlations
-
Toropov, A.A.; Toropova, A.P.; Benfenati, E.; Leszczynska, D.; Leszczynski, J. SMILES-based optimal descriptors: QSAR analysis of fullerene-based HIV-1 PR inhibitors by means of balance of correlations. J. Comput. Chem., 2010, 31(2), 381-392.
-
(2010)
J. Comput. Chem.
, vol.31
, Issue.2
, pp. 381-392
-
-
Toropov, A.A.1
Toropova, A.P.2
Benfenati, E.3
Leszczynska, D.4
Leszczynski, J.5
-
37
-
-
79954612735
-
Simplified Molecular Input-Line Entry System and International Chemical Identifier in the QSAR Analysis of Styrylquinoline Derivatives as HIV-1 Integrase Inhibitors
-
Toropova, A.P.; Toropov, A.A.; Benfenati, E.; Gini, G. Simplified Molecular Input-Line Entry System and International Chemical Identifier in the QSAR Analysis of Styrylquinoline Derivatives as HIV-1 Integrase Inhibitors. Chem. Biol. Drug Des., 2011, 77(5), 343-360.
-
(2011)
Chem. Biol. Drug Des.
, vol.77
, Issue.5
, pp. 343-360
-
-
Toropova, A.P.1
Toropov, A.A.2
Benfenati, E.3
Gini, G.4
-
38
-
-
84873357336
-
Development of QSAR models for predicting anti-HIV-1 activity using the Monte Carlo method. Cent
-
Toropov, A.A.; Toropova, A.P.; Raska Jr. I.; Benfenati, E.; Gini, G. Development of QSAR models for predicting anti-HIV-1 activity using the Monte Carlo method. Cent. Eur. J. Chem., 2013, 11(3), 371-380
-
(2013)
Eur. J. Chem.
, vol.11
, Issue.3
, pp. 371-380
-
-
Toropov, A.A.1
Toropova, A.P.2
Raska, I.3
Benfenati, E.4
Gini, G.5
-
39
-
-
84920749320
-
Monte Carlo Method Based QSAR Modeling of Coumarin Derivates as Potent HIV-1 Integrase Inhibitors and Molecular Docking Studies of Selected 4-phenyl Hy-droxycoumarins
-
Veselinović, J.; Veselinović, A.; Toropov, A.; Toropova, A.; Damnjanović, I.; Nikolić, G. Monte Carlo Method Based QSAR Modeling of Coumarin Derivates as Potent HIV-1 Integrase Inhibitors and Molecular Docking Studies of Selected 4-phenyl Hy-droxycoumarins. Acta. Fac. Med. Naiss., 2014. 31(2): 95-103.
-
(2014)
Acta. Fac. Med. Naiss.
, vol.31
, Issue.2
, pp. 95-103
-
-
Veselinović, J.1
Veselinović, A.2
Toropov, A.3
Toropova, A.4
Damnjanović, I.5
Nikolić, G.6
-
40
-
-
84897417413
-
Combined molecular docking, molecular dynamics simulation and quantitative structure-activity relationship study of pyrimido[1,2-c][1,3]benzothiazin-6-imine derivatives as potent anti-HIV drugs
-
Deng, F.; Xie, M.; Zhang, X.; Li, P.; Tian, Y.; Zhai, H.; Li, Y. Combined molecular docking, molecular dynamics simulation and quantitative structure-activity relationship study of pyrimido[1,2-c][1,3]benzothiazin-6-imine derivatives as potent anti-HIV drugs. J. Mol. Struct., 2014, 1067(1), 1-13
-
(2014)
J. Mol. Struct.
, vol.1067
, Issue.1
, pp. 1-13
-
-
Deng, F.1
Xie, M.2
Zhang, X.3
Li, P.4
Tian, Y.5
Zhai, H.6
Li, Y.7
-
41
-
-
84880753972
-
The definition of the molecular structure for potential anti-malaria agents by the Monte Carlo method
-
Toropov, A.A.; Toropova, A.P.; Benfenati, E.; Gini, G.; Fanelli, R. The definition of the molecular structure for potential anti-malaria agents by the Monte Carlo method. Struct. Chem., 2013, 24(4), 1369-1381.
-
(2013)
Struct. Chem.
, vol.24
, Issue.4
, pp. 1369-1381
-
-
Toropov, A.A.1
Toropova, A.P.2
Benfenati, E.3
Gini, G.4
Fanelli, R.5
-
42
-
-
84901200548
-
QSAR models for anti-malarial activity of 4-aminoquinolines
-
Masand, V.H.; Toropov, A.A.; Toropova, A.P.; Mahajan, D.T. QSAR models for anti-malarial activity of 4-aminoquinolines. Comput. Aided Drug Des., 2014, 10(1), 75-82.
-
(2014)
Comput. Aided Drug Des.
, vol.10
, Issue.1
, pp. 75-82
-
-
Masand, V.H.1
Toropov, A.A.2
Toropova, A.P.3
Mahajan, D.T.4
-
43
-
-
84934757543
-
QSAR models for as Src inhibitors based on Monte Carlo method
-
Toropov, A.A.; Veselinović, J.B.; Veselinović, A.M.; Miljković, F.N.; Toropova, A.P. QSAR models for as Src inhibitors based on Monte Carlo method. Med. Chem. Res., 2015, 24(1), 283-290.
-
(2015)
Med. Chem. Res.
, vol.24
, Issue.1
, pp. 283-290
-
-
Toropov, A.A.1
Veselinović, J.B.2
Veselinović, A.M.3
Miljković, F.N.4
Toropova, A.P.5
-
44
-
-
84898733194
-
QSAR study of H1N1 neuraminidase inhibitors from influenza a virus
-
Worachartcheewan, A.; Nantasenamat, C.; Isarankura-Na-Ayudhya, C.; Prachayasittikul, V. QSAR study of H1N1 neuraminidase inhibitors from influenza a virus. Lett. Drug Des. Discov., 2014, 11(4), 420-427.
-
(2014)
Lett. Drug Des. Discov.
, vol.11
, Issue.4
, pp. 420-427
-
-
Worachartcheewan, A.1
Nantasenamat, C.2
Isarankura-Na-Ayudhya, C.3
Prachayasittikul, V.4
-
45
-
-
84906044145
-
Large-scale QSAR study of aromatase inhibitors using SMILES-based descriptors
-
Worachartcheewan, A.; Mandi, P.; Prachayasittikul, V.; Toropova, A.P.; Toropov, A.A.; Nantasenamat, C. Large-scale QSAR study of aromatase inhibitors using SMILES-based descriptors. Chemometr. Intell. Lab. Syst., 2014, 138, 120-126.
-
(2014)
Chemometr. Intell. Lab. Syst.
, vol.138
, pp. 120-126
-
-
Worachartcheewan, A.1
Mandi, P.2
Prachayasittikul, V.3
Toropova, A.P.4
Toropov, A.A.5
Nantasenamat, C.6
-
46
-
-
84908574742
-
QSAR model based on SMILES of inhibitory rate of 2, 3-diarylpropenoic acids on AKR1C3
-
Li, Q.; Ding, X.; Si, H.; Gao, H. QSAR model based on SMILES of inhibitory rate of 2, 3-diarylpropenoic acids on AKR1C3. Chemometr. Intell. Lab. Syst., 2014, 139, 132-138.
-
(2014)
Chemometr. Intell. Lab. Syst.
, vol.139
, pp. 132-138
-
-
Li, Q.1
Ding, X.2
Si, H.3
Gao, H.4
-
47
-
-
84892852642
-
Study on the antagonists for the orphan G protein-coupled receptor GPR55 by quantitative structure-activity relationship
-
Deng, F.-F.; Xie, M.-H.; Li, P.-Z.; Tian, Y.-L.; Zhang, X.-Y.; Zhai, H.-L. Study on the antagonists for the orphan G protein-coupled receptor GPR55 by quantitative structure-activity relationship. Chemometr. Intell. Lab. Syst., 2014, 131, 51-60.
-
(2014)
Chemometr. Intell. Lab. Syst.
, vol.131
, pp. 51-60
-
-
Deng, F.-F.1
Xie, M.-H.2
Li, P.-Z.3
Tian, Y.-L.4
Zhang, X.-Y.5
Zhai, H.-L.6
-
48
-
-
84894046901
-
Docking and quantitative structure-activity relationship of oxadiazole derivates as inhibitors of GSK3β
-
Quesada-Romero, L.; Caballero, J. Docking and quantitative structure-activity relationship of oxadiazole derivates as inhibitors of GSK3β. Mol. Divers., 2014, 18(1), 149-159.
-
(2014)
Mol. Divers.
, vol.18
, Issue.1
, pp. 149-159
-
-
Quesada-Romero, L.1
Caballero, J.2
-
49
-
-
84896699257
-
Simplified molecular input line entry system-based optimal descriptors: QSAR modelling for voltage-gated potassium channel subunit Kv7.2
-
Achary, P.G. Simplified molecular input line entry system-based optimal descriptors: QSAR modelling for voltage-gated potassium channel subunit Kv7.2. SAR QSAR Environ. Res., 2014, 25(1), 73-90.
-
(2014)
SAR QSAR Environ. Res.
, vol.25
, Issue.1
, pp. 73-90
-
-
Achary, P.G.1
-
50
-
-
84920732465
-
Monte Carlo Method-Based QSAR Modeling of Penicillins Binding to Human Serum Proteins
-
Veselinović, J.B.; Toropov, A.A.; Toropova, A.P.; Nikolić, G.M.; Veselinović, A.M. Monte Carlo Method-Based QSAR Modeling of Penicillins Binding to Human Serum Proteins. Arch. Pharm., 2015, 348, 1-6.
-
(2015)
Arch. Pharm.
, vol.348
, pp. 1-6
-
-
Veselinović, J.B.1
Toropov, A.A.2
Toropova, A.P.3
Nikolić, G.M.4
Veselinović, A.M.5
-
51
-
-
84903787194
-
Study on the agonists for the human Toll-like receptor-8 by molecular modeling
-
Deng, F.; Ma, S.; Xie, M.; Zhang, X.; Li, P.; Zhai, H. Study on the agonists for the human Toll-like receptor-8 by molecular modeling. Mol. Biosyst., 2014, 10(8), 2202-2214.
-
(2014)
Mol. Biosyst.
, vol.10
, Issue.8
, pp. 2202-2214
-
-
Deng, F.1
Ma, S.2
Xie, M.3
Zhang, X.4
Li, P.5
Zhai, H.6
-
52
-
-
84875235737
-
QSAR models for inhibitors of physiological impact of Escherichia coli that leads to diarrhea
-
Toropov, A.A.; Toropova, A.P.; Benfenati, E.; Gini, G.; Leszczyn-ska, D.; Leszczynski, J.; Nucci, G.D. QSAR models for inhibitors of physiological impact of Escherichia coli that leads to diarrhea. Biochem. Biophys. Res. Commun., 2013, 432(2), 214-225.
-
(2013)
Biochem. Biophys. Res. Commun.
, vol.432
, Issue.2
, pp. 214-225
-
-
Toropov, A.A.1
Toropova, A.P.2
Benfenati, E.3
Gini, G.4
Leszczyn-Ska, D.5
Leszczynski, J.6
Nucci, G.D.7
-
53
-
-
84873716367
-
SMILES-Based QSAR models for the calcium channel-antagonistic effect of 1,4-dihydropyridines
-
Veselinović, A.M.; Milosavljević, J.B.; Toropov, A.A.; Nikolić, G.M. SMILES-Based QSAR models for the calcium channel-antagonistic effect of 1,4-dihydropyridines. Arch. Pharm., 2013, 346(2), 134-139.
-
(2013)
Arch. Pharm.
, vol.346
, Issue.2
, pp. 134-139
-
-
Veselinović, A.M.1
Milosavljević, J.B.2
Toropov, A.A.3
Nikolić, G.M.4
-
54
-
-
79955971757
-
CORAL software: QSAR for anticancer agents
-
Benfenati, E.; Toropov, A.A.; Toropova, A.P.; Manganaro, A.; Gonella Diaza, R. CORAL software: QSAR for anticancer agents. Chem. Biol. Drug Des., 2011, 77(6), 471-476.
-
(2011)
Chem. Biol. Drug Des.
, vol.77
, Issue.6
, pp. 471-476
-
-
Benfenati, E.1
Toropov, A.A.2
Toropova, A.P.3
Manganaro, A.4
Gonella Diaza, R.5
-
55
-
-
77952957906
-
QSAR analysis of 1,4-dihydro-4-oxo-1-(2-thiazolyl)-1,8-naphthyridines exhibiting anticancer activity by optimal SMILES-based descriptors
-
Toropov, A.A.; Toropova, A.P.; Benfenati, E.; Leszczynska, D.; Leszczynski, J. QSAR analysis of 1,4-dihydro-4-oxo-1-(2-thiazolyl)-1,8-naphthyridines exhibiting anticancer activity by optimal SMILES-based descriptors. J. Math. Chem., 2010, 47(2), 647-666.
-
(2010)
J. Math. Chem.
, vol.47
, Issue.2
, pp. 647-666
-
-
Toropov, A.A.1
Toropova, A.P.2
Benfenati, E.3
Leszczynska, D.4
Leszczynski, J.5
-
56
-
-
34250615587
-
QSAR modeling of peripheral versus central benzodiazepine receptor binding affinity of 2-phenylimidazo [1,2-a]pyridineacetamides using optimal descriptors calculated with SMILES
-
Roy, K.; Toropov, A.; Raska, I. QSAR modeling of peripheral versus central benzodiazepine receptor binding affinity of 2-phenylimidazo [1,2-a]pyridineacetamides using optimal descriptors calculated with SMILES. QSAR Comb. Sci., 2007, 26(4), 460-468.
-
(2007)
QSAR Comb. Sci.
, vol.26
, Issue.4
, pp. 460-468
-
-
Roy, K.1
Toropov, A.2
Raska, I.3
-
57
-
-
84862688225
-
SMILES-based optimal descriptors: QSAR modeling of estrogen receptor binding affinity by correlation balance
-
Toropov, A.A.; Toropova, A.P.; Diaza, R.G.; Benfenati, E.; Gini, G. SMILES-based optimal descriptors: QSAR modeling of estrogen receptor binding affinity by correlation balance. Struct. Chem., 2012, 23(2), 2012, 529-544.
-
(2012)
Struct. Chem., 2012
, vol.23
, Issue.2
, pp. 529-544
-
-
Toropov, A.A.1
Toropova, A.P.2
Diaza, R.G.3
Benfenati, E.4
Gini, G.5
-
58
-
-
84897033563
-
Conformation-independent QSAR on c-Src tyrosine kinase inhibitors
-
Comelli, N.C.; Ortiz, E.V.; Kolacz, M.; Toropova, A.P.; Toropov, A.A.; Duchowicz, P.R.; Castro, E.A. Conformation-independent QSAR on c-Src tyrosine kinase inhibitors. Chemometr. Intell. Lab. Syst., 2014, 134, 47-52.
-
(2014)
Chemometr. Intell. Lab. Syst.
, vol.134
, pp. 47-52
-
-
Comelli, N.C.1
Ortiz, E.V.2
Kolacz, M.3
Toropova, A.P.4
Toropov, A.A.5
Duchowicz, P.R.6
Castro, E.A.7
-
59
-
-
80053909411
-
A comparative QSAR on 1,2,5-thiadiazolidin-3-one 1,1-dioxide compounds as selective inhibitors of human serine proteinases
-
García, J.; Duchowicz, P.R.; Rozas, M.F.; Caram, J.A.; Mirífico, M.V.; Fernández, F.M.; Castro, E.A. A comparative QSAR on 1,2,5-thiadiazolidin-3-one 1,1-dioxide compounds as selective inhibitors of human serine proteinases. J. Mol. Graph. Model., 2011, 31, 10-19.
-
(2011)
J. Mol. Graph. Model.
, vol.31
, pp. 10-19
-
-
García, J.1
Duchowicz, P.R.2
Rozas, M.F.3
Caram, J.A.4
Mirífico, M.V.5
Fernández, F.M.6
Castro, E.A.7
-
60
-
-
84934763921
-
QSAR Models for the Reactivation of Sarin Inhibited AChE by Quaternary Pyridinium Oximes Based on Monte Carlo Method
-
Veselinović, A.M.; Veselinović, J.B.; Toropov, A.A.; Toropova, A.P.; Nikolić, G.M. QSAR Models for the Reactivation of Sarin Inhibited AChE by Quaternary Pyridinium Oximes Based on Monte Carlo Method. Curr. Comput. Aided. Drug Des., 2014, 10(3), 266-273.
-
(2014)
Curr. Comput. Aided. Drug Des.
, vol.10
, Issue.3
, pp. 266-273
-
-
Veselinović, A.M.1
Veselinović, J.B.2
Toropov, A.A.3
Toropova, A.P.4
Nikolić, G.M.5
-
61
-
-
0031085412
-
QSAR Based on Multiple Linear Regression and PLS Methods for the Anti-HIV Activity of a Large Group of HEPT Derivatives
-
Luco, J.M.; Ferretti, F.H. QSAR Based on Multiple Linear Regression and PLS Methods for the Anti-HIV Activity of a Large Group of HEPT Derivatives. J. Chem. Inf. Comput. Sci., 1997, 37(2), 392-401.
-
(1997)
J. Chem. Inf. Comput. Sci.
, vol.37
, Issue.2
, pp. 392-401
-
-
Luco, J.M.1
Ferretti, F.H.2
-
62
-
-
79957827303
-
Quantitative bioac-tivity prediction and pharmacophore identification for benzotriaz-ine derivatives using the electron conformational-genetic algorithm in QSAR
-
Şahin, K.; Saripinar, E.; Yanmaz, E.; Geçen, N. Quantitative bioac-tivity prediction and pharmacophore identification for benzotriaz-ine derivatives using the electron conformational-genetic algorithm in QSAR. SAR QSAR Environ. Res., 2011, 22(3-4), 217-238.
-
(2011)
SAR QSAR Environ. Res.
, vol.22
, Issue.3-4
, pp. 217-238
-
-
Şahin, K.1
Saripinar, E.2
Yanmaz, E.3
Geçen, N.4
-
63
-
-
84864669924
-
4D-QSAR study of HEPT derivatives by electron conformational-genetic algorithm method
-
Akyüz, L.; Saripinar, E.; Kaya, E.; Yanmaz, E. 4D-QSAR study of HEPT derivatives by electron conformational-genetic algorithm method. SAR QSAR Environ. Res., 2012, 23(5-6), 409-433.
-
(2012)
SAR QSAR Environ. Res.
, vol.23
, Issue.5-6
, pp. 409-433
-
-
Akyüz, L.1
Saripinar, E.2
Kaya, E.3
Yanmaz, E.4
-
64
-
-
79953204913
-
4D-QSAR analysis and pharmacophore modeling: Electron conforma-tional- genetic algorithm approach for penicillins
-
Yanmaz, E.; Saripinar, E.; Şahin, K.; Geçen, N.; Çopur, F. 4D-QSAR analysis and pharmacophore modeling: Electron conforma-tional- genetic algorithm approach for penicillins. Bioorg. Med. Chem., 2011, 19(7), 2199-2210.
-
(2011)
Bioorg. Med. Chem.
, vol.19
, Issue.7
, pp. 2199-2210
-
-
Yanmaz, E.1
Saripinar, E.2
Şahin, K.3
Geçen, N.4
Çopur, F.5
|