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Items: 1 to 20 of 38

1.

A collaborative database and computational models for tuberculosis drug discovery.

Ekins S, Bradford J, Dole K, Spektor A, Gregory K, Blondeau D, Hohman M, Bunin BA.

Mol Biosyst. 2010 May;6(5):840-51. doi: 10.1039/b917766c. Epub 2010 Feb 9.

2.

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

Tomioka H, Namba K.

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

PMID:
17240921
3.

Informatics resources for tuberculosis--towards drug discovery.

Sundaramurthi JC, Brindha S, Reddy TB, Hanna LE.

Tuberculosis (Edinb). 2012 Mar;92(2):133-8. doi: 10.1016/j.tube.2011.08.006. Epub 2011 Sep 22. Review.

PMID:
21943870
4.

Partitioning methods for the identification of active molecules.

Stahura FL, Bajorath J.

Curr Med Chem. 2003 Apr;10(8):707-15. Review.

PMID:
12678788
5.

Structural bioinformatic approaches to the discovery of new antimycobacterial drugs.

Kantardjieff K, Rupp B.

Curr Pharm Des. 2004;10(26):3195-211. Review.

PMID:
15544509
6.

Computational methodologies for compound database searching that utilize experimental protein-ligand interaction information.

Tan L, Batista J, Bajorath J.

Chem Biol Drug Des. 2010 Sep 1;76(3):191-200. doi: 10.1111/j.1747-0285.2010.01007.x. Epub 2010 Jul 15. Review.

PMID:
20636330
7.

Cheminformatics in anti-infective agents discovery.

Sardari S, Dezfulian M.

Mini Rev Med Chem. 2007 Feb;7(2):181-9. Review.

PMID:
17305592
8.
9.

Contributions of computational chemistry and biophysical techniques to fragment-based drug discovery.

Gozalbes R, Carbajo RJ, Pineda-Lucena A.

Curr Med Chem. 2010;17(17):1769-94. Review.

PMID:
20345344
10.

Cheminformatics analysis and learning in a data pipelining environment.

Hassan M, Brown RD, Varma-O'brien S, Rogers D.

Mol Divers. 2006 Aug;10(3):283-99. Epub 2006 Sep 22. Review.

PMID:
17031533
11.

Public databases supporting computational toxicology.

Judson R.

J Toxicol Environ Health B Crit Rev. 2010 Feb;13(2-4):218-31. doi: 10.1080/10937404.2010.483937. Review.

PMID:
20574898
12.

Exploring functional genomics for the development of novel intervention strategies against tuberculosis.

Rachman H, Kaufmann SH.

Int J Med Microbiol. 2007 Nov;297(7-8):559-67. Epub 2007 Apr 27. Review.

PMID:
17467338
13.

[Evolution of IGRA researches].

Ariga H, Harada N.

Kekkaku. 2008 Sep;83(9):641-52. Review. Japanese.

PMID:
18979999
14.

Chemoinformatics-applications in food chemistry.

Martinez-Mayorga K, Medina-Franco JL.

Adv Food Nutr Res. 2009;58:33-56. doi: 10.1016/S1043-4526(09)58002-3. Review.

PMID:
19878857
15.

Computational models for tuberculosis drug discovery.

Ekins S, Freundlich JS.

Methods Mol Biol. 2013;993:245-62. doi: 10.1007/978-1-62703-342-8_16. Review.

PMID:
23568475
16.

Cheminformatics approaches to analyze diversity in compound screening libraries.

Akella LB, DeCaprio D.

Curr Opin Chem Biol. 2010 Jun;14(3):325-30. doi: 10.1016/j.cbpa.2010.03.017. Epub 2010 Apr 22. Review.

PMID:
20457001
17.

Bayesian networks for knowledge discovery in large datasets: basics for nurse researchers.

Lee SM, Abbott PA.

J Biomed Inform. 2003 Aug-Oct;36(4-5):389-99. Review.

18.

Chemical feature-based pharmacophores and virtual library screening for discovery of new leads.

Langer T, Krovat EM.

Curr Opin Drug Discov Devel. 2003 May;6(3):370-6. Review.

PMID:
12833670
19.

Application of data mining approaches to drug delivery.

Ekins S, Shimada J, Chang C.

Adv Drug Deliv Rev. 2006 Nov 30;58(12-13):1409-30. Epub 2006 Sep 22. Review.

PMID:
17081647
20.

Advances in cheminformatics methodologies and infrastructure to support the data mining of large, heterogeneous chemical datasets.

Guha R, Gilbert K, Fox G, Pierce M, Wild D, Yuan H.

Curr Comput Aided Drug Des. 2010 Mar;6(1):50-67. Review.

PMID:
20370695

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