Literature DB >> 16882314

Hierarchical strategy for identifying active chemotype classes in compound databases.

José Luis Medina-Franco1, Joachim Petit, Gerald M Maggiora.   

Abstract

A general methodology is presented for analyzing patterns of activity in compound databases, which is based on the use of structural chemotypes and provides a focused, hierarchical classification of active compounds. Each node in the hierarchical tree corresponds to a specific chemotype and is labeled by a unique code or identifier. All chemotypes at a given level of the hierarchy define equivalence classes, and those of higher structural resolution have a strict parent-child (i.e. subset) relationship to those of lower resolution. Active chemotypes contain a relatively high proportion of actives and are characterized through the use of enrichment plots. These plots show the relationship of occupancy to activity enrichment for a set of chemotypes at a given level of structural resolution. Paths through the hierarchy from chemotypes of lower to those of higher structural resolution (e.g. reduced cyclic system skeletons --> cyclic system skeletons --> cyclic systems --> complete molecules) are unique. Unique paths in the hierarchy that only pass through active chemotypes are called chains or paths of actives. These chains provide links for identifying structurally related active compounds at increasing levels of structural resolution. Analysis of actives can also be carried out at any specific level of structural resolution deemed appropriate by the investigator. Chemotype codes can be used to search compound databases for new molecules possessing these codes or sets of hierarchically related codes. An example, based on the NCI AIDS database, is presented that illustrates the general approach and provides a more detailed description of several interesting classes of active chemotypes and their inter-relationships.

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Year:  2006        PMID: 16882314     DOI: 10.1111/j.1747-0285.2006.00397.x

Source DB:  PubMed          Journal:  Chem Biol Drug Des        ISSN: 1747-0277            Impact factor:   2.817


  9 in total

1.  Activity cliffs and activity cliff generators based on chemotype-related activity landscapes.

Authors:  Jaime Pérez-Villanueva; Oscar Méndez-Lucio; Olivia Soria-Arteche; José L Medina-Franco
Journal:  Mol Divers       Date:  2015-07-07       Impact factor: 2.943

2.  The development of a knowledge base for basic active structures: an example case of dopamine agonists.

Authors:  Takashi Okada; Masumi Yamakawa; Norihito Ohmori; Sachio Mori; Hiroshi Horikawa; Taketo Hayashi; Satoshi Fujishima
Journal:  Chem Cent J       Date:  2010-01-23       Impact factor: 4.215

3.  Natural products as DNA methyltransferase inhibitors: a computer-aided discovery approach.

Authors:  Jose L Medina-Franco; Fabian López-Vallejo; Dirk Kuck; Frank Lyko
Journal:  Mol Divers       Date:  2010-08-10       Impact factor: 2.943

4.  Molpher: a software framework for systematic chemical space exploration.

Authors:  David Hoksza; Petr Skoda; Milan Voršilák; Daniel Svozil
Journal:  J Cheminform       Date:  2014-03-21       Impact factor: 5.514

5.  Chemoinformatic analysis of combinatorial libraries, drugs, natural products, and molecular libraries small molecule repository.

Authors:  Narender Singh; Rajarshi Guha; Marc A Giulianotti; Clemencia Pinilla; Richard A Houghten; Jose L Medina-Franco
Journal:  J Chem Inf Model       Date:  2009-04       Impact factor: 4.956

6.  Systematic search for benzimidazole compounds and derivatives with antileishmanial effects.

Authors:  Juan Carlos Sánchez-Salgado; Pablo Bilbao-Ramos; María Auxiliadora Dea-Ayuela; Francisco Hernández-Luis; Francisco Bolás-Fernández; José L Medina-Franco; Yareli Rojas-Aguirre
Journal:  Mol Divers       Date:  2018-05-10       Impact factor: 2.943

7.  A general approach for retrosynthetic molecular core analysis.

Authors:  J Jesús Naveja; B Angélica Pilón-Jiménez; Jürgen Bajorath; José L Medina-Franco
Journal:  J Cheminform       Date:  2019-09-24       Impact factor: 5.514

8.  Exploring the chemical space and the bioactivity profile of lactams: a chemoinformatic study.

Authors:  Fernanda I Saldívar-González; Elena Lenci; Andrea Trabocchi; José L Medina-Franco
Journal:  RSC Adv       Date:  2019-08-28       Impact factor: 3.361

9.  A cell-based fascin bioassay identifies compounds with potential anti-metastasis or cognition-enhancing functions.

Authors:  Robert Kraft; Allon Kahn; José L Medina-Franco; Mikayla L Orlowski; Cayla Baynes; Fabian López-Vallejo; Kobus Barnard; Gerald M Maggiora; Linda L Restifo
Journal:  Dis Model Mech       Date:  2012-08-23       Impact factor: 5.758

  9 in total

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