Literature DB >> 24900343

Chemical transformations that yield compounds with distinct activity profiles.

Ye Hu1, Jürgen Bajorath1.   

Abstract

We have systematically searched for chemical changes that generate compounds with distinct biological activity profiles. For this purpose, activity profiles were generated for ∼42000 compounds active against human targets. Unique activity profiles involving multiple target proteins were determined, and all possible matched molecular pairs (MMPs) were identified for compounds representing these profiles. An MMP is defined as a pair of compounds that are distinguished from each other only at a single site such as an R group or ring system. For example, in an MMP, a hydroxyl group might be replaced by a halogen atom or a benzene ring by an amide group. From ∼37500 MMPs, more than 300 nonredundant chemical transformations were isolated that yielded compounds with distinct activity profiles. None of these transformations was found in pairs of compounds with overlapping activity profiles. These transformations were ranked according to the number of MMPs, the number of activity profiles, and the total number of targets that they covered. In many instances, prioritized transformations involved ring systems of varying complexity. All transformations that were found to switch activity profiles are provided to enable further analysis and aid in compound design efforts.

Entities:  

Keywords:  Active compounds; activity profiles; chemical transformations; matched molecular pairs; profile analysis; target annotations

Year:  2011        PMID: 24900343      PMCID: PMC4018055          DOI: 10.1021/ml2000609

Source DB:  PubMed          Journal:  ACS Med Chem Lett        ISSN: 1948-5875            Impact factor:   4.345


  11 in total

1.  Methods for applying the quantitative structure-activity relationship paradigm.

Authors:  Emilio Xavier Esposito; Anton J Hopfinger; Jeffry D Madura
Journal:  Methods Mol Biol       Date:  2004

2.  Activity landscape representations for structure-activity relationship analysis.

Authors:  Anne Mai Wassermann; Mathias Wawer; Jürgen Bajorath
Journal:  J Med Chem       Date:  2010-09-16       Impact factor: 7.446

3.  Chemical substitutions that introduce activity cliffs across different compound classes and biological targets.

Authors:  Anne Mai Wassermann; Jürgen Bajorath
Journal:  J Chem Inf Model       Date:  2010-07-26       Impact factor: 4.956

4.  Lead optimization using matched molecular pairs: inclusion of contextual information for enhanced prediction of HERG inhibition, solubility, and lipophilicity.

Authors:  George Papadatos; Muhammad Alkarouri; Valerie J Gillet; Peter Willett; Visakan Kadirkamanathan; Christopher N Luscombe; Gianpaolo Bravi; Nicola J Richmond; Stephen D Pickett; Jameed Hussain; John M Pritchard; Anthony W J Cooper; Simon J F Macdonald
Journal:  J Chem Inf Model       Date:  2010-10-25       Impact factor: 4.956

5.  Statistical analysis of the effects of common chemical substituents on ligand potency.

Authors:  Philip J Hajduk; Daryl R Sauer
Journal:  J Med Chem       Date:  2008-01-04       Impact factor: 7.446

Review 6.  Navigating structure-activity landscapes.

Authors:  Jürgen Bajorath; Lisa Peltason; Mathias Wawer; Rajarshi Guha; Michael S Lajiness; John H Van Drie
Journal:  Drug Discov Today       Date:  2009-05-03       Impact factor: 7.851

7.  Rationalizing lead optimization by associating quantitative relevance with molecular structure modification.

Authors:  John W Raymond; Ian A Watson; Abdelaziz Mahoui
Journal:  J Chem Inf Model       Date:  2009-08       Impact factor: 4.956

8.  Computationally efficient algorithm to identify matched molecular pairs (MMPs) in large data sets.

Authors:  Jameed Hussain; Ceara Rea
Journal:  J Chem Inf Model       Date:  2010-03-22       Impact factor: 4.956

9.  Neighborhood behavior: a useful concept for validation of "molecular diversity" descriptors.

Authors:  D E Patterson; R D Cramer; A M Ferguson; R D Clark; L E Weinberger
Journal:  J Med Chem       Date:  1996-08-02       Impact factor: 7.446

10.  BindingDB: a web-accessible database of experimentally determined protein-ligand binding affinities.

Authors:  Tiqing Liu; Yuhmei Lin; Xin Wen; Robert N Jorissen; Michael K Gilson
Journal:  Nucleic Acids Res       Date:  2006-12-01       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.