101 related articles for article (PubMed ID: 18386916)
1. Chemical fragments as foundations for understanding target space and activity prediction.
Sutherland JJ; Higgs RE; Watson I; Vieth M
J Med Chem; 2008 May; 51(9):2689-700. PubMed ID: 18386916
[TBL] [Abstract][Full Text] [Related]
2. A quantitative analysis of kinase inhibitor selectivity.
Karaman MW; Herrgard S; Treiber DK; Gallant P; Atteridge CE; Campbell BT; Chan KW; Ciceri P; Davis MI; Edeen PT; Faraoni R; Floyd M; Hunt JP; Lockhart DJ; Milanov ZV; Morrison MJ; Pallares G; Patel HK; Pritchard S; Wodicka LM; Zarrinkar PP
Nat Biotechnol; 2008 Jan; 26(1):127-32. PubMed ID: 18183025
[TBL] [Abstract][Full Text] [Related]
3. Predicting kinase selectivity profiles using Free-Wilson QSAR analysis.
Sciabola S; Stanton RV; Wittkopp S; Wildman S; Moshinsky D; Potluri S; Xi H
J Chem Inf Model; 2008 Sep; 48(9):1851-67. PubMed ID: 18717582
[TBL] [Abstract][Full Text] [Related]
4. Gini coefficient: a new way to express selectivity of kinase inhibitors against a family of kinases.
Graczyk PP
J Med Chem; 2007 Nov; 50(23):5773-9. PubMed ID: 17948979
[TBL] [Abstract][Full Text] [Related]
5. Selectivity of kinase inhibitor fragments.
Bamborough P; Brown MJ; Christopher JA; Chung CW; Mellor GW
J Med Chem; 2011 Jul; 54(14):5131-43. PubMed ID: 21699136
[TBL] [Abstract][Full Text] [Related]
6. Proteochemometric recognition of stable kinase inhibition complexes using topological autocorrelation and support vector machines.
Fernandez M; Ahmad S; Sarai A
J Chem Inf Model; 2010 Jun; 50(6):1179-88. PubMed ID: 20524632
[TBL] [Abstract][Full Text] [Related]
7. Chemical genetic approaches to kinase drug discovery.
Gallion SL; Qian D
Curr Opin Drug Discov Devel; 2005 Sep; 8(5):638-45. PubMed ID: 16159026
[TBL] [Abstract][Full Text] [Related]
8. Classification of kinase inhibitors using a Bayesian model.
Xia X; Maliski EG; Gallant P; Rogers D
J Med Chem; 2004 Aug; 47(18):4463-70. PubMed ID: 15317458
[TBL] [Abstract][Full Text] [Related]
9. Trends in kinase selectivity: insights for target class-focused library screening.
Posy SL; Hermsmeier MA; Vaccaro W; Ott KH; Todderud G; Lippy JS; Trainor GL; Loughney DA; Johnson SR
J Med Chem; 2011 Jan; 54(1):54-66. PubMed ID: 21128601
[TBL] [Abstract][Full Text] [Related]
10. Development and experimental validation of a docking strategy for the generation of kinase-targeted libraries.
Gozalbes R; Simon L; Froloff N; Sartori E; Monteils C; Baudelle R
J Med Chem; 2008 Jun; 51(11):3124-32. PubMed ID: 18479119
[TBL] [Abstract][Full Text] [Related]
11. Finding more needles in the haystack: A simple and efficient method for improving high-throughput docking results.
Klon AE; Glick M; Thoma M; Acklin P; Davies JW
J Med Chem; 2004 May; 47(11):2743-9. PubMed ID: 15139752
[TBL] [Abstract][Full Text] [Related]
12. Methods for computer-aided chemical biology. Part 3: analysis of structure-selectivity relationships through single- or dual-step selectivity searching and Bayesian classification.
Stumpfe D; Geppert H; Bajorath J
Chem Biol Drug Des; 2008 Jun; 71(6):518-28. PubMed ID: 18482335
[TBL] [Abstract][Full Text] [Related]
13. Kinase-likeness and kinase-privileged fragments: toward virtual polypharmacology.
Aronov AM; McClain B; Moody CS; Murcko MA
J Med Chem; 2008 Mar; 51(5):1214-22. PubMed ID: 18288794
[TBL] [Abstract][Full Text] [Related]
14. Biospectra analysis: model proteome characterizations for linking molecular structure and biological response.
Fliri AF; Loging WT; Thadeio PF; Volkmann RA
J Med Chem; 2005 Nov; 48(22):6918-25. PubMed ID: 16250650
[TBL] [Abstract][Full Text] [Related]
15. SAR index: quantifying the nature of structure-activity relationships.
Peltason L; Bajorath J
J Med Chem; 2007 Nov; 50(23):5571-8. PubMed ID: 17902636
[TBL] [Abstract][Full Text] [Related]
16. Detection of 3D atomic similarities and their use in the discrimination of small molecule protein-binding sites.
Najmanovich R; Kurbatova N; Thornton J
Bioinformatics; 2008 Aug; 24(16):i105-11. PubMed ID: 18689810
[TBL] [Abstract][Full Text] [Related]
17. Kinase inhibitor data modeling and de novo inhibitor design with fragment approaches.
Vieth M; Erickson J; Wang J; Webster Y; Mader M; Higgs R; Watson I
J Med Chem; 2009 Oct; 52(20):6456-66. PubMed ID: 19791746
[TBL] [Abstract][Full Text] [Related]
18. Kinomics-structural biology and chemogenomics of kinase inhibitors and targets.
Vieth M; Higgs RE; Robertson DH; Shapiro M; Gragg EA; Hemmerle H
Biochim Biophys Acta; 2004 Mar; 1697(1-2):243-57. PubMed ID: 15023365
[TBL] [Abstract][Full Text] [Related]
19. Structure-based approach to pharmacophore identification, in silico screening, and three-dimensional quantitative structure-activity relationship studies for inhibitors of Trypanosoma cruzi dihydrofolate reductase function.
Schormann N; Senkovich O; Walker K; Wright DL; Anderson AC; Rosowsky A; Ananthan S; Shinkre B; Velu S; Chattopadhyay D
Proteins; 2008 Dec; 73(4):889-901. PubMed ID: 18536013
[TBL] [Abstract][Full Text] [Related]
20. Fishing the target of antitubercular compounds: in silico target deconvolution model development and validation.
Prathipati P; Ma NL; Manjunatha UH; Bender A
J Proteome Res; 2009 Jun; 8(6):2788-98. PubMed ID: 19301903
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
