400 related articles for article (PubMed ID: 20981520)
1. Application of Free-Wilson selectivity analysis for combinatorial library design.
Sciabola S; Stanton RV; Johnson TL; Xi H
Methods Mol Biol; 2011; 685():91-109. PubMed ID: 20981520
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Combinatorial library design from reagent pharmacophore fingerprints.
Chen H; Engkvist O; Blomberg N
Methods Mol Biol; 2011; 685():135-52. PubMed ID: 20981522
[TBL] [Abstract][Full Text] [Related]
4. The design, annotation, and application of a kinase-targeted library.
Xi H; Lunney EA
Methods Mol Biol; 2011; 685():279-91. PubMed ID: 20981529
[TBL] [Abstract][Full Text] [Related]
5. Identification of novel inhibitors of tropomyosin-related kinase A through the structure-based virtual screening with homology-modeled protein structure.
Park H; Chi O; Kim J; Hong S
J Chem Inf Model; 2011 Nov; 51(11):2986-93. PubMed ID: 22017333
[TBL] [Abstract][Full Text] [Related]
6. Profile-QSAR: a novel meta-QSAR method that combines activities across the kinase family to accurately predict affinity, selectivity, and cellular activity.
Martin E; Mukherjee P; Sullivan D; Jansen J
J Chem Inf Model; 2011 Aug; 51(8):1942-56. PubMed ID: 21667971
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Application of QSAR and shape pharmacophore modeling approaches for targeted chemical library design.
Ebalunode JO; Zheng W; Tropsha A
Methods Mol Biol; 2011; 685():111-33. PubMed ID: 20981521
[TBL] [Abstract][Full Text] [Related]
9. In silico design of small molecules.
Bernardo PH; Tong JC
Methods Mol Biol; 2012; 800():25-31. PubMed ID: 21964780
[TBL] [Abstract][Full Text] [Related]
10. Kinase-targeted library design through the application of the PharmPrint methodology.
Deanda F; Stewart EL; Reno MJ; Drewry DH
J Chem Inf Model; 2008 Dec; 48(12):2395-403. PubMed ID: 19053525
[TBL] [Abstract][Full Text] [Related]
11. Fragment based lead discovery of small molecule inhibitors for the EPHA4 receptor tyrosine kinase.
van Linden OP; Farenc C; Zoutman WH; Hameetman L; Wijtmans M; Leurs R; Tensen CP; Siegal G; de Esch IJ
Eur J Med Chem; 2012 Jan; 47(1):493-500. PubMed ID: 22137457
[TBL] [Abstract][Full Text] [Related]
12. Discovery of novel CDK1 inhibitors by combining pharmacophore modeling, QSAR analysis and in silico screening followed by in vitro bioassay.
Al-Sha'er MA; Taha MO
Eur J Med Chem; 2010 Sep; 45(9):4316-30. PubMed ID: 20638755
[TBL] [Abstract][Full Text] [Related]
13. Structure-based and property-compliant library design of 11β-HSD1 adamantyl amide inhibitors.
Paderes GD; Dress K; Huang B; Elleraas J; Rejto PA; Pauly T
Methods Mol Biol; 2011; 685():191-215. PubMed ID: 20981525
[TBL] [Abstract][Full Text] [Related]
14. Discovery of imidazo[1,5-a]pyrido[3,2-e]pyrazines as a new class of phosphodiesterase 10A inhibitiors.
Höfgen N; Stange H; Schindler R; Lankau HJ; Grunwald C; Langen B; Egerland U; Tremmel P; Pangalos MN; Marquis KL; Hage T; Harrison BL; Malamas MS; Brandon NJ; Kronbach T
J Med Chem; 2010 Jun; 53(11):4399-411. PubMed ID: 20450197
[TBL] [Abstract][Full Text] [Related]
15. Combinatorial QSAR modeling of specificity and subtype selectivity of ligands binding to serotonin receptors 5HT1E and 5HT1F.
Wang XS; Tang H; Golbraikh A; Tropsha A
J Chem Inf Model; 2008 May; 48(5):997-1013. PubMed ID: 18470978
[TBL] [Abstract][Full Text] [Related]
16. A scalable approach to combinatorial library design.
Sharma P; Salapaka S; Beck C
Methods Mol Biol; 2011; 685():71-89. PubMed ID: 20981519
[TBL] [Abstract][Full Text] [Related]
17. Interaction profiles of protein kinase-inhibitor complexes and their application to virtual screening.
Chuaqui C; Deng Z; Singh J
J Med Chem; 2005 Jan; 48(1):121-33. PubMed ID: 15634006
[TBL] [Abstract][Full Text] [Related]
18. Discovery of potent inhibitors of soluble epoxide hydrolase by combinatorial library design and structure-based virtual screening.
Xing L; McDonald JJ; Kolodziej SA; Kurumbail RG; Williams JM; Warren CJ; O'Neal JM; Skepner JE; Roberds SL
J Med Chem; 2011 Mar; 54(5):1211-22. PubMed ID: 21302953
[TBL] [Abstract][Full Text] [Related]
19. Docking methods for structure-based library design.
Cavasotto CN; Phatak SS
Methods Mol Biol; 2011; 685():155-74. PubMed ID: 20981523
[TBL] [Abstract][Full Text] [Related]
20. Computational proteomics of biomolecular interactions in the sequence and structure space of the tyrosine kinome: deciphering the molecular basis of the kinase inhibitors selectivity.
Verkhivker GM
Proteins; 2007 Mar; 66(4):912-29. PubMed ID: 17173284
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
