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Items: 1 to 20 of 21

1.

The properties of known drugs. 1. Molecular frameworks.

Bemis GW, Murcko MA.

J Med Chem. 1996 Jul 19;39(15):2887-93.

PMID:
8709122
2.

Prediction methods and databases within chemoinformatics: emphasis on drugs and drug candidates.

Jónsdóttir SO, Jørgensen FS, Brunak S.

Bioinformatics. 2005 May 15;21(10):2145-60. Epub 2005 Feb 15. Review.

3.

'Metabolite-likeness' as a criterion in the design and selection of pharmaceutical drug libraries.

Dobson PD, Patel Y, Kell DB.

Drug Discov Today. 2009 Jan;14(1-2):31-40. doi: 10.1016/j.drudis.2008.10.011. Epub 2008 Dec 26. Review.

PMID:
19049901
4.

Knowledge-based chemoinformatic approaches to drug discovery.

Ghose AK, Herbertz T, Salvino JM, Mallamo JP.

Drug Discov Today. 2006 Dec;11(23-24):1107-14. Epub 2006 Nov 2. Review.

PMID:
17129830
5.

Chemoproteomics as a basis for post-genomic drug discovery.

Beroza P, Villar HO, Wick MM, Martin GR.

Drug Discov Today. 2002 Aug 1;7(15):807-14. Review.

PMID:
12546968
6.

General topological patterns of known drugs.

Gáive J, De Julian-Ortiz JV, García-Domenech R.

J Mol Graph Model. 2001;20(1):84-94. Review.

PMID:
11760006
7.

Pharmacophore features of potential drugs.

Muegge I.

Chemistry. 2002 May 3;8(9):1976-81. Review.

PMID:
11981881
8.

Drugs in other drugs: a new look at drugs as fragments.

Siegel MG, Vieth M.

Drug Discov Today. 2007 Jan;12(1-2):71-9. Epub 2006 Nov 28. Review.

PMID:
17198975
9.

[Development of antituberculous drugs: current status and future prospects].

Tomioka H, Namba K.

Kekkaku. 2006 Dec;81(12):753-74. Review. Japanese.

PMID:
17240921
10.

An overview of the diversity represented in commercially-available databases.

Bradley MP.

Mol Divers. 2002;5(4):175-83. Review. No abstract available.

PMID:
12549670
11.

Pathway analysis for design of promiscuous drugs and selective drug mixtures.

Sivachenko A, Kalinin A, Yuryev A.

Curr Drug Discov Technol. 2006 Dec;3(4):269-77. Review.

PMID:
17430103
12.

Computational techniques for diversity analysis and compound classification.

Kitchen DB, Stahura FL, Bajorath J.

Mini Rev Med Chem. 2004 Dec;4(10):1029-39. Review.

PMID:
15579111
13.

Privileged structures: a useful concept for the rational design of new lead drug candidates.

Duarte CD, Barreiro EJ, Fraga CA.

Mini Rev Med Chem. 2007 Nov;7(11):1108-19. Review.

PMID:
18045214
14.

Chemical database techniques in drug discovery.

Miller MA.

Nat Rev Drug Discov. 2002 Mar;1(3):220-7. Review.

PMID:
12120506
15.

Pharmacophores in drug design and discovery.

Milne GW, Nicklaus MC, Wang S.

SAR QSAR Environ Res. 1998;9(1-2):23-38. Review.

PMID:
9517013
16.

Drug discovery beyond the 'rule-of-five'.

Zhang MQ, Wilkinson B.

Curr Opin Biotechnol. 2007 Dec;18(6):478-88. Epub 2007 Nov 26. Review.

PMID:
18035532
17.

Virtual screening for the discovery of bioactive natural products.

Rollinger JM, Stuppner H, Langer T.

Prog Drug Res. 2008;65:211, 213-49. Review.

PMID:
18084917
18.

Importance of molecular computer modeling in anticancer drug development.

Geromichalos GD.

J BUON. 2007 Sep;12 Suppl 1:S101-18. Review.

PMID:
17935268
19.

Rings in drugs.

Taylor RD, MacCoss M, Lawson AD.

J Med Chem. 2014 Jul 24;57(14):5845-59. doi: 10.1021/jm4017625. Epub 2014 Feb 17. Review.

PMID:
24471928
20.

Ontologies of drug discovery and design for neurology, cardiology and oncology.

Vázquez-Naya JM, Martínez-Romero M, Porto-Pazos AB, Novoa F, Valladares-Ayerbes M, Pereira J, Munteanu CR, Dorado J.

Curr Pharm Des. 2010;16(24):2724-36. Review.

PMID:
20642429
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