Literature DB >> 12489680

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

Mary P Bradley1.   

Abstract

Mesh:

Year:  2002        PMID: 12489680     DOI: 10.1023/a:1020811805001

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


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  10 in total

1.  Properties of known drugs. 2. Side chains.

Authors:  G W Bemis; M A Murcko
Journal:  J Med Chem       Date:  1999-12-16       Impact factor: 7.446

2.  Property distribution of drug-related chemical databases.

Authors:  T I Oprea
Journal:  J Comput Aided Mol Des       Date:  2000-03       Impact factor: 3.686

3.  Comparison of the NCI open database with seven large chemical structural databases.

Authors:  J H Voigt; B Bienfait; S Wang; M C Nicklaus
Journal:  J Chem Inf Comput Sci       Date:  2001 May-Jun

4.  Is there a difference between leads and drugs? A historical perspective.

Authors:  T I Oprea; A M Davis; S J Teague; P D Leeson
Journal:  J Chem Inf Comput Sci       Date:  2001 Sep-Oct

5.  Simple selection criteria for drug-like chemical matter.

Authors:  I Muegge; S L Heald; D Brittelli
Journal:  J Med Chem       Date:  2001-06-07       Impact factor: 7.446

6.  Privileged molecules for protein binding identified from NMR-based screening.

Authors:  P J Hajduk; M Bures; J Praestgaard; S W Fesik
Journal:  J Med Chem       Date:  2000-09-07       Impact factor: 7.446

7.  Can we learn to distinguish between "drug-like" and "nondrug-like" molecules?

Authors:  A Ajay; W P Walters; M A Murcko
Journal:  J Med Chem       Date:  1998-08-27       Impact factor: 7.446

8.  Molecular diversity in chemical databases: comparison of medicinal chemistry knowledge bases and databases of commercially available compounds.

Authors:  D J Cummins; C W Andrews; J A Bentley; M Cory
Journal:  J Chem Inf Comput Sci       Date:  1996 Jul-Aug

9.  The properties of known drugs. 1. Molecular frameworks.

Authors:  G W Bemis; M A Murcko
Journal:  J Med Chem       Date:  1996-07-19       Impact factor: 7.446

10.  Database diversity assessment: new ideas, concepts, and tools.

Authors:  R Nilakantan; N Bauman; K S Haraki
Journal:  J Comput Aided Mol Des       Date:  1997-09       Impact factor: 3.686

  10 in total
  1 in total

1.  Managing, profiling and analyzing a library of 2.6 million compounds gathered from 32 chemical providers.

Authors:  Aurélien Monge; Alban Arrault; Christophe Marot; Luc Morin-Allory
Journal:  Mol Divers       Date:  2006-09-21       Impact factor: 2.943

  1 in total

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