-
1
-
-
33645265985
-
Clustering Methods and Their Uses in Computational Chemistry
-
Downs, G. M; Barnard J. M. Clustering Methods and Their Uses in Computational Chemistry, Rev. Comput. Chem. 2002, 18, 1-40.
-
(2002)
Rev. Comput. Chem
, vol.18
, pp. 1-40
-
-
Downs, G.M.1
Barnard, J.M.2
-
3
-
-
0015680655
-
Clustering Using a Similarity Measure Based on Shared Near Neighbours
-
Jarvis, R. A.; Patrick, E. A. Clustering Using a Similarity Measure Based on Shared Near Neighbours. IEEE Trans. Comput. 1973, C-22, 1025-1034.
-
(1973)
IEEE Trans. Comput
, vol.C-22
, pp. 1025-1034
-
-
Jarvis, R.A.1
Patrick, E.A.2
-
4
-
-
0342645323
-
Use of Structure-Activity Data To Compare Structure-Based Clustering Methods and Descriptors for Use in Compound Selection
-
Brown, R. D.; Martin, Y. C. Use of Structure-Activity Data To Compare Structure-Based Clustering Methods and Descriptors for Use in Compound Selection. J. Chem. Inf. Comput. Sci. 1996, 36, 572-584.
-
(1996)
J. Chem. Inf. Comput. Sci
, vol.36
, pp. 572-584
-
-
Brown, R.D.1
Martin, Y.C.2
-
5
-
-
5244364312
-
The Information Content of 2D and 3D Structural Descriptors Relevant to Ligand-Receptor Binding
-
Brown, R. D.; Martin, Y. C. The Information Content of 2D and 3D Structural Descriptors Relevant to Ligand-Receptor Binding. J. Chem. Inf. Comput. Sci. 1997, 37, 1-9.
-
(1997)
J. Chem. Inf. Comput. Sci
, vol.37
, pp. 1-9
-
-
Brown, R.D.1
Martin, Y.C.2
-
6
-
-
84944178665
-
Hierarchical grouping to optimize an objective function
-
Ward, J. H. Hierarchical grouping to optimize an objective function. J. Am. Stat. Assoc. 1963, 55, 236-244.
-
(1963)
J. Am. Stat. Assoc
, vol.55
, pp. 236-244
-
-
Ward, J.H.1
-
7
-
-
2942746755
-
Clustering Files of Chemical Structures Using the Fuzzy k-Means Clustering Method
-
Holliday, J. D.; Rodgers S. L.; Willett, P.; Chen, M.; Madfouf, M.; Lawson, K.; Mullier, G. Clustering Files of Chemical Structures Using the Fuzzy k-Means Clustering Method. J. Chem. Inf. Comput. Sci. 2004, 44, 894-902.
-
(2004)
J. Chem. Inf. Comput. Sci
, vol.44
, pp. 894-902
-
-
Holliday, J.D.1
Rodgers, S.L.2
Willett, P.3
Chen, M.4
Madfouf, M.5
Lawson, K.6
Mullier, G.7
-
8
-
-
18244365837
-
-
Wilkens, S. J.; Janes, J.; Su, A. I. HierS: Heirarchical Scaffold Clustering Using Topological Chemical Graphs. J. Med. Chem. 2005, 48, 3182-3193.
-
Wilkens, S. J.; Janes, J.; Su, A. I. HierS: Heirarchical Scaffold Clustering Using Topological Chemical Graphs. J. Med. Chem. 2005, 48, 3182-3193.
-
-
-
-
9
-
-
21244496075
-
-
Stahl, M.; Mauser, H.; Tsui, M.; Taylor, N. R. A Robust Clustering Method for Chemical Structures. J. Med. Chem. 2005, 48, 4358-4366.
-
Stahl, M.; Mauser, H.; Tsui, M.; Taylor, N. R. A Robust Clustering Method for Chemical Structures. J. Med. Chem. 2005, 48, 4358-4366.
-
-
-
-
10
-
-
20444410051
-
Database Clustering with a Combination of Fingerprint and Maximum Common Substructure Methods
-
Stahl, M.; Mauser, H. Database Clustering with a Combination of Fingerprint and Maximum Common Substructure Methods. J. Chem. Inf. Model. 2005, 45, 542-548.
-
(2005)
J. Chem. Inf. Model
, vol.45
, pp. 542-548
-
-
Stahl, M.1
Mauser, H.2
-
11
-
-
23844460001
-
-
Böcker, A.; Derksen, S.; Schmidt, E.; Teckentrup, A.; Schneider, G. A Hierarchical Clustering Approach for Large Compound Libraries. J. Chem. Inf. Model. 2005, 45, 807-815.
-
Böcker, A.; Derksen, S.; Schmidt, E.; Teckentrup, A.; Schneider, G. A Hierarchical Clustering Approach for Large Compound Libraries. J. Chem. Inf. Model. 2005, 45, 807-815.
-
-
-
-
12
-
-
33845810666
-
-
Böcker, A.; Schneider, G.; Teckentrup, A. NIPALSTREE: A New Hierarchical Clustering Approach for Large Compound Libraries and Its Application to Virtual Screening. J. Chem. Inf. Model. 2006, 46, 2220-2229.
-
Böcker, A.; Schneider, G.; Teckentrup, A. NIPALSTREE: A New Hierarchical Clustering Approach for Large Compound Libraries and Its Application to Virtual Screening. J. Chem. Inf. Model. 2006, 46, 2220-2229.
-
-
-
-
13
-
-
33750341686
-
-
Li, W. A Fast Clustering Algorithm for Analyzing Highly Similar Compounds of Very Large Libraries. J. Chem. Inf. Model. 2006, 46, 1919-1923.
-
Li, W. A Fast Clustering Algorithm for Analyzing Highly Similar Compounds of Very Large Libraries. J. Chem. Inf. Model. 2006, 46, 1919-1923.
-
-
-
-
14
-
-
33845867934
-
-
Engels, M. F.; Gibbs, A. C.; Jaeger, E. P.; Verbinnen, D.; Lobanov, V. S.; Agrafiotis, D. K. A Cluster-Based Strategy for Assessing the Overlap between Large Chemical Libraries and Its Application to a Recent Acquisition. J. Chem. Inf. Model. 2006, 46, 2651-2660.
-
Engels, M. F.; Gibbs, A. C.; Jaeger, E. P.; Verbinnen, D.; Lobanov, V. S.; Agrafiotis, D. K. A Cluster-Based Strategy for Assessing the Overlap between Large Chemical Libraries and Its Application to a Recent Acquisition. J. Chem. Inf. Model. 2006, 46, 2651-2660.
-
-
-
-
15
-
-
12244275244
-
Biological spectra analysis: Linking biological activity profiles to molecular structure
-
Fliri, A. F.; Loging, W. T.; Thadeio, P. F.; Volkmann, R. A. Biological spectra analysis: Linking biological activity profiles to molecular structure. Proc. Natl. Acad. Sci. U.S.A. 2005, 102, 261-266.
-
(2005)
Proc. Natl. Acad. Sci. U.S.A
, vol.102
, pp. 261-266
-
-
Fliri, A.F.1
Loging, W.T.2
Thadeio, P.F.3
Volkmann, R.A.4
-
16
-
-
32344440237
-
Analysis of drug-induced effect patterns to link structure and side effects of medicines
-
Fliri, A. F.; Loging, W. T.; Thadeio, P. F.; Volkmann, R. A. Analysis of drug-induced effect patterns to link structure and side effects of medicines. Nat. Chem. Biol. 2005, 1, 389-397.
-
(2005)
Nat. Chem. Biol
, vol.1
, pp. 389-397
-
-
Fliri, A.F.1
Loging, W.T.2
Thadeio, P.F.3
Volkmann, R.A.4
-
17
-
-
0000353230
-
The Characterisation of Chemical Structures using Molecular Properties. A Survey
-
Livingstone, D. J. The Characterisation of Chemical Structures using Molecular Properties. A Survey. J. Chem. Inf. Comput. Sci. 2000, 40, 195-209.
-
(2000)
J. Chem. Inf. Comput. Sci
, vol.40
, pp. 195-209
-
-
Livingstone, D.J.1
-
18
-
-
0001202274
-
Explicit Calculation of 3D Molecular Similarity
-
Good, A. C; Richards, W. G. Explicit Calculation of 3D Molecular Similarity. Perspect. Drug Discovery Des. 1998, 9-11, 321-338.
-
(1998)
Perspect. Drug Discovery Des
, vol.9-11
, pp. 321-338
-
-
Good, A.C.1
Richards, W.G.2
-
19
-
-
5344244908
-
Chemical Similarity Searching
-
Willett, P.; Barnard, J. M.; Downs, G. M. Chemical Similarity Searching. J. Chem. Inf. Comput. Sci. 1998, 38, 983-996.
-
(1998)
J. Chem. Inf. Comput. Sci
, vol.38
, pp. 983-996
-
-
Willett, P.1
Barnard, J.M.2
Downs, G.M.3
-
20
-
-
13344284559
-
Scaffold Hopping
-
Böhm, H.; Flohr, A.; Stahl, M.; Scaffold Hopping. Drug Discovery Today: Technol. 2004, 1, 217-224.
-
(2004)
Drug Discovery Today: Technol
, vol.1
, pp. 217-224
-
-
Böhm, H.1
Flohr, A.2
Stahl, M.3
-
21
-
-
0033827093
-
Recent Advances in Inducible Cyclooxygenase (COX-2) Inhibition
-
de Leval, X.; Delarge, J.; Somers, F.; de Tullio, P.; Henrotin, Y.; Pirotte, B.; Dogné, J. Recent Advances in Inducible Cyclooxygenase (COX-2) Inhibition. Curr. Med. Chem. 2000, 7, 1041-1062.
-
(2000)
Curr. Med. Chem
, vol.7
, pp. 1041-1062
-
-
de Leval, X.1
Delarge, J.2
Somers, F.3
de Tullio, P.4
Henrotin, Y.5
Pirotte, B.6
Dogné, J.7
-
24
-
-
0032121920
-
Quantitative Measures of Change Based on Feature Organization: Eigenvalues and Eigenvectors
-
Sarkar, S.; Boyer, K. L. Quantitative Measures of Change Based on Feature Organization: Eigenvalues and Eigenvectors. Comput. Vision Image Understanding 1998, 71, 110-136.
-
(1998)
Comput. Vision Image Understanding
, vol.71
, pp. 110-136
-
-
Sarkar, S.1
Boyer, K.L.2
-
26
-
-
35248872476
-
-
Eigenvectors that yield discriminating clusters are positive, meaning all elements of the eigenvector share the same sign, but as Sarkar and Boyer have demonstrated this condition can be partially relaxed, and eigenvectors with dominant positive components also provide discriminating clusters. The condition may be completely relaxed if overlap is acceptable between the resultant clusters
-
Eigenvectors that yield discriminating clusters are positive, meaning all elements of the eigenvector share the same sign, but as Sarkar and Boyer have demonstrated this condition can be partially relaxed, and eigenvectors with dominant positive components also provide discriminating clusters. The condition may be completely relaxed if overlap is acceptable between the resultant clusters.
-
-
-
-
27
-
-
35248818270
-
-
cheminformatics.org. http://www.cheminformatics.orgy (accessed Dec 21, 2006).
-
cheminformatics.org. http://www.cheminformatics.orgy (accessed Dec 21, 2006).
-
-
-
-
28
-
-
35248821293
-
-
SYBYL, version 7.2; Tripos: St. Louis, MO, 2006
-
SYBYL, version 7.2; Tripos: St. Louis, MO, 2006.
-
-
-
-
29
-
-
35248882943
-
-
MOE, version 2006.08; Chemical Computing Group: Montreal, Quebec, 2006
-
MOE, version 2006.08; Chemical Computing Group: Montreal, Quebec, 2006.
-
-
-
|