Literature DB >> 12120506

Chemical database techniques in drug discovery.

Mitchell A Miller1.   

Abstract

Chemical databases are becoming a powerful tool in drug discovery. Database searches based on possible requirements for biological activity can identify compounds that might be suitable for further analysis or indicate novel ways to achieve the desired activity. What considerations are involved in the construction and searching of chemical databases?

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Year:  2002        PMID: 12120506     DOI: 10.1038/nrd745

Source DB:  PubMed          Journal:  Nat Rev Drug Discov        ISSN: 1474-1776            Impact factor:   84.694


  20 in total

1.  Discovery of drug mode of action and drug repositioning from transcriptional responses.

Authors:  Francesco Iorio; Roberta Bosotti; Emanuela Scacheri; Vincenzo Belcastro; Pratibha Mithbaokar; Rosa Ferriero; Loredana Murino; Roberto Tagliaferri; Nicola Brunetti-Pierri; Antonella Isacchi; Diego di Bernardo
Journal:  Proc Natl Acad Sci U S A       Date:  2010-08-02       Impact factor: 11.205

2.  Privacy-preserving search for chemical compound databases.

Authors:  Kana Shimizu; Koji Nuida; Hiromi Arai; Shigeo Mitsunari; Nuttapong Attrapadung; Michiaki Hamada; Koji Tsuda; Takatsugu Hirokawa; Jun Sakuma; Goichiro Hanaoka; Kiyoshi Asai
Journal:  BMC Bioinformatics       Date:  2015-12-09       Impact factor: 3.169

3.  Reverse fingerprinting, similarity searching by group fusion and fingerprint bit importance.

Authors:  Chris Williams
Journal:  Mol Divers       Date:  2006-09-21       Impact factor: 2.943

Review 4.  Evaluation of the performance of 3D virtual screening protocols: RMSD comparisons, enrichment assessments, and decoy selection--what can we learn from earlier mistakes?

Authors:  Johannes Kirchmair; Patrick Markt; Simona Distinto; Gerhard Wolber; Thierry Langer
Journal:  J Comput Aided Mol Des       Date:  2008-01-15       Impact factor: 3.686

5.  Elucidating Compound Mechanism of Action by Network Perturbation Analysis.

Authors:  Jung Hoon Woo; Yishai Shimoni; Wan Seok Yang; Prem Subramaniam; Archana Iyer; Paola Nicoletti; María Rodríguez Martínez; Gonzalo López; Michela Mattioli; Ronald Realubit; Charles Karan; Brent R Stockwell; Mukesh Bansal; Andrea Califano
Journal:  Cell       Date:  2015-07-16       Impact factor: 41.582

6.  Cyclodextrin KnowledgeBase a web-based service managing CD-ligand complexation data.

Authors:  Eszter Hazai; Istvan Hazai; Laszlo Demko; Sandor Kovacs; David Malik; Peter Akli; Peter Hari; Julianna Szeman; Eva Fenyvesi; Edina Benes; Lajos Szente; Zsolt Bikadi
Journal:  J Comput Aided Mol Des       Date:  2010-06-03       Impact factor: 3.686

7.  A novel method of transcriptional response analysis to facilitate drug repositioning for cancer therapy.

Authors:  Guangxu Jin; Changhe Fu; Hong Zhao; Kemi Cui; Jenny Chang; Stephen T C Wong
Journal:  Cancer Res       Date:  2011-11-22       Impact factor: 12.701

8.  Tunable machine vision-based strategy for automated annotation of chemical databases.

Authors:  Jungkap Park; Gus R Rosania; Kazuhiro Saitou
Journal:  J Chem Inf Model       Date:  2009-08       Impact factor: 4.956

9.  Activity of an antimicrobial peptide mimetic against planktonic and biofilm cultures of oral pathogens.

Authors:  Nicholas Beckloff; Danielle Laube; Tammy Castro; David Furgang; Steven Park; David Perlin; Dylan Clements; Haizhong Tang; Richard W Scott; Gregory N Tew; Gill Diamond
Journal:  Antimicrob Agents Chemother       Date:  2007-09-04       Impact factor: 5.191

Review 10.  Computational strategies for the discovery of biological functions of health foods, nutraceuticals and cosmeceuticals: a review.

Authors:  Laureano E Carpio; Yolanda Sanz; Rafael Gozalbes; Stephen J Barigye
Journal:  Mol Divers       Date:  2021-07-14       Impact factor: 3.364

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