Literature DB >> 16292611

Substructural fragments: an universal language to encode reactions, molecular and supramolecular structures.

A Varnek1, D Fourches, F Hoonakker, V P Solov'ev.   

Abstract

Substructural fragments are proposed as a simple and safe way to encode molecular structures in a matrix containing the occurrence of fragments of a given type. The knowledge retrieved from QSPR modelling can also be stored in that matrix in addition to the information about fragments. Complex supramolecular systems (using special bond types) and chemical reactions (represented as Condensed Graphs of Reactions, CGR) can be treated similarly. The efficiency of fragments as descriptors has been demonstrated in QSPR studies of aqueous solubility for a diverse set of organic compounds as well as in the analysis of thermodynamic parameters for hydrogen-bonding in some supramolecular complexes. It has also been shown that CGR may be an interesting opportunity to perform similarity searches for chemical reactions. The relationship between the density of information in descriptors/knowledge matrices and the robustness of QSPR models is discussed.

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Year:  2005        PMID: 16292611     DOI: 10.1007/s10822-005-9008-0

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


  34 in total

1.  Estimation of the aqueous solubility of organic molecules by the group contribution approach.

Authors:  G Klopman; H Zhu
Journal:  J Chem Inf Comput Sci       Date:  2001 Mar-Apr

2.  Novel variable selection quantitative structure--property relationship approach based on the k-nearest-neighbor principle

Authors: 
Journal:  J Chem Inf Comput Sci       Date:  2000-01

3.  Estimation of aqueous solubility of chemical compounds using E-state indices.

Authors:  I V Tetko; V Y Tanchuk; T N Kasheva; A E Villa
Journal:  J Chem Inf Comput Sci       Date:  2001 Nov-Dec

4.  The signature molecular descriptor. 1. Using extended valence sequences in QSAR and QSPR studies.

Authors:  Jean-Loup Faulon; Donald P Visco; Ramdas S Pophale
Journal:  J Chem Inf Comput Sci       Date:  2003 May-Jun

5.  Modeling aqueous solubility.

Authors:  Darko Butina; Joelle M R Gola
Journal:  J Chem Inf Comput Sci       Date:  2003 May-Jun

6.  Quantitative structure-property relationship modeling of beta-cyclodextrin complexation free energies.

Authors:  Alan R Katritzky; Dan C Fara; Hongfang Yang; Mati Karelson; Takahiro Suzuki; Vitaly P Solov'ev; Alexandre Varnek
Journal:  J Chem Inf Comput Sci       Date:  2004 Mar-Apr

7.  Estimation of standard Gibbs energy changes of biotransformations.

Authors:  M L Mavrovouniotis
Journal:  J Biol Chem       Date:  1991-08-05       Impact factor: 5.157

8.  Group contributions for estimating standard gibbs energies of formation of biochemical compounds in aqueous solution.

Authors:  M L Mavrovouniotis
Journal:  Biotechnol Bioeng       Date:  1990-12-05       Impact factor: 4.530

9.  Modeling of ion complexation and extraction using substructural molecular fragments

Authors: 
Journal:  J Chem Inf Comput Sci       Date:  2000-05

10.  Hydrogen bond structural group constants.

Authors:  M H Abraham; J A Platts
Journal:  J Org Chem       Date:  2001-05-18       Impact factor: 4.354

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  35 in total

1.  Mappability of drug-like space: towards a polypharmacologically competent map of drug-relevant compounds.

Authors:  Pavel Sidorov; Helena Gaspar; Gilles Marcou; Alexandre Varnek; Dragos Horvath
Journal:  J Comput Aided Mol Des       Date:  2015-11-12       Impact factor: 3.686

2.  Fr-PPIChem: An Academic Compound Library Dedicated to Protein-Protein Interactions.

Authors:  Nicolas Bosc; Christophe Muller; Laurent Hoffer; David Lagorce; Stéphane Bourg; Carine Derviaux; Marie-Edith Gourdel; Jean-Christophe Rain; Thomas W Miller; Bruno O Villoutreix; Maria A Miteva; Pascal Bonnet; Xavier Morelli; Olivier Sperandio; Philippe Roche
Journal:  ACS Chem Biol       Date:  2020-05-05       Impact factor: 5.100

Review 3.  QSAR without borders.

Authors:  Eugene N Muratov; Jürgen Bajorath; Robert P Sheridan; Igor V Tetko; Dmitry Filimonov; Vladimir Poroikov; Tudor I Oprea; Igor I Baskin; Alexandre Varnek; Adrian Roitberg; Olexandr Isayev; Stefano Curtarolo; Denis Fourches; Yoram Cohen; Alan Aspuru-Guzik; David A Winkler; Dimitris Agrafiotis; Artem Cherkasov; Alexander Tropsha
Journal:  Chem Soc Rev       Date:  2020-05-01       Impact factor: 54.564

4.  HTS navigator: freely accessible cheminformatics software for analyzing high-throughput screening data.

Authors:  Denis Fourches; Maria F Sassano; Bryan L Roth; Alexander Tropsha
Journal:  Bioinformatics       Date:  2013-12-28       Impact factor: 6.937

5.  Structure-reactivity modeling using mixture-based representation of chemical reactions.

Authors:  Pavel Polishchuk; Timur Madzhidov; Timur Gimadiev; Andrey Bodrov; Ramil Nugmanov; Alexandre Varnek
Journal:  J Comput Aided Mol Des       Date:  2017-07-27       Impact factor: 3.686

6.  Predictive cartography of metal binders using generative topographic mapping.

Authors:  Igor I Baskin; Vitaly P Solov'ev; Alexander A Bagatur'yants; Alexandre Varnek
Journal:  J Comput Aided Mol Des       Date:  2017-07-07       Impact factor: 3.686

7.  QSAR modeling and chemical space analysis of antimalarial compounds.

Authors:  Pavel Sidorov; Birgit Viira; Elisabeth Davioud-Charvet; Uko Maran; Gilles Marcou; Dragos Horvath; Alexandre Varnek
Journal:  J Comput Aided Mol Des       Date:  2017-04-03       Impact factor: 3.686

8.  Discovery of novel antimalarial compounds enabled by QSAR-based virtual screening.

Authors:  Liying Zhang; Denis Fourches; Alexander Sedykh; Hao Zhu; Alexander Golbraikh; Sean Ekins; Julie Clark; Michele C Connelly; Martina Sigal; Dena Hodges; Armand Guiguemde; R Kiplin Guy; Alexander Tropsha
Journal:  J Chem Inf Model       Date:  2013-01-23       Impact factor: 4.956

9.  Cheminformatics analysis of assertions mined from literature that describe drug-induced liver injury in different species.

Authors:  Denis Fourches; Julie C Barnes; Nicola C Day; Paul Bradley; Jane Z Reed; Alexander Tropsha
Journal:  Chem Res Toxicol       Date:  2010-01       Impact factor: 3.739

10.  Highly predictive support vector machine (SVM) models for anthrax toxin lethal factor (LF) inhibitors.

Authors:  Xia Zhang; Elizabeth Ambrose Amin
Journal:  J Mol Graph Model       Date:  2015-11-17       Impact factor: 2.518

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