Literature DB >> 11560063

Cheminformatics: a tool for decision-makers in drug discovery.

T Olsson1, T I Oprea.   

Abstract

Cheminformatics is a tool that aims at facilitating the decision-making process across various preclinical stages of drug discovery. Access to biological and chemical data, but not the data themselves, is an integral part of cheminformatics. Emerging tools that allow storage of, and access to, chemical, structural-chemical and biological information are only now beginning to reach maturity. Recent advances in cheminformatics include virtual library analysis without enumeration and novel methods to investigate global chemical similarity and diversity voids. The most important task for cheminformatics is to constantly reevaluate itself and its utility in the area of drug discovery, in order to provide probabilistic, rather than categorical predictions.

Mesh:

Year:  2001        PMID: 11560063

Source DB:  PubMed          Journal:  Curr Opin Drug Discov Devel        ISSN: 1367-6733


  12 in total

1.  Current trends in lead discovery: are we looking for the appropriate properties?

Authors:  Tudor I Oprea
Journal:  J Comput Aided Mol Des       Date:  2002 May-Jun       Impact factor: 3.686

2.  Mining relational paths in integrated biomedical data.

Authors:  Bing He; Jie Tang; Ying Ding; Huijun Wang; Yuyin Sun; Jae Hong Shin; Bin Chen; Ganesh Moorthy; Judy Qiu; Pankaj Desai; David J Wild
Journal:  PLoS One       Date:  2011-12-06       Impact factor: 3.240

Review 3.  Current trends in lead discovery: are we looking for the appropriate properties?

Authors:  Tudor I Oprea
Journal:  Mol Divers       Date:  2002       Impact factor: 2.943

4.  Associating Drugs, Targets and Clinical Outcomes into an Integrated Network Affords a New Platform for Computer-Aided Drug Repurposing.

Authors:  Tudor I Oprea; Sonny Kim Nielsen; Oleg Ursu; Jeremy J Yang; Olivier Taboureau; Stephen L Mathias; Lrene Kouskoumvekaki; Larry A Sklar; Cristian G Bologa
Journal:  Mol Inform       Date:  2011-03-14       Impact factor: 3.353

5.  Lead-like, drug-like or "Pub-like": how different are they?

Authors:  Tudor I Oprea; Tharun Kumar Allu; Dan C Fara; Ramona F Rad; Lili Ostopovici; Cristian G Bologa
Journal:  J Comput Aided Mol Des       Date:  2007-02-28       Impact factor: 3.686

6.  Systems chemical biology.

Authors:  Tudor I Oprea; Alexander Tropsha; Jean-Loup Faulon; Mark D Rintoul
Journal:  Nat Chem Biol       Date:  2007-08       Impact factor: 15.040

7.  Exploring the pharmacogenomics knowledge base (PharmGKB) for repositioning breast cancer drugs by leveraging Web ontology language (OWL) and cheminformatics approaches.

Authors:  Qian Zhu; Cui Tao; Feichen Shen; Christopher G Chute
Journal:  Pac Symp Biocomput       Date:  2014

Review 8.  Twenty years of the G protein-coupled estrogen receptor GPER: Historical and personal perspectives.

Authors:  Matthias Barton; Edward J Filardo; Stephen J Lolait; Peter Thomas; Marcello Maggiolini; Eric R Prossnitz
Journal:  J Steroid Biochem Mol Biol       Date:  2017-03-25       Impact factor: 4.292

9.  Transporter-mediated Efflux Influences CNS Side Effects: ABCB1, from Antitarget to Target.

Authors:  Fabio Broccatelli; Emanuele Carosati; Gabriele Cruciani; Tudor I Oprea
Journal:  Mol Inform       Date:  2010-01-12       Impact factor: 3.353

Review 10.  Computational systems chemical biology.

Authors:  Tudor I Oprea; Elebeoba E May; Andrei Leitão; Alexander Tropsha
Journal:  Methods Mol Biol       Date:  2011
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