Online chemical modeling environment (OCHEM): web platform for data storage, model development and publishing of chemical information

Iurii Sushko, Sergii Novotarskyi(Helmholtz Zentrum München), Robert Körner(Helmholtz Zentrum München), Anil Kumar Pandey(Helmholtz Zentrum München), Matthias Rupp(Helmholtz Zentrum München), Wolfram Teetz(Helmholtz Zentrum München), Stefan Brandmaier(Helmholtz Zentrum München), Ahmed Abdelaziz(Helmholtz Zentrum München), В. В. Прокопенко(Institute of Bioorganic Chemistry and Petrochemistry V.P. Kukhar), Vsevolod Yu. Tanchuk(Institute of Bioorganic Chemistry and Petrochemistry V.P. Kukhar), Roberto Todeschini(University of Milano-Bicocca), Alexandre Varnek(Université de Strasbourg), Gilles Marcou(Centre National de la Recherche Scientifique), Peter Ertl(Novartis (Switzerland)), Vladimir Potemkin(Chelyabinsk State Medical Academy), Maria Grishina(Chelyabinsk State Medical Academy), Johann Gasteiger(Molecular Networks (Germany)), Christof H. Schwab(Molecular Networks (Germany)), Igor I. Baskin(Lomonosov Moscow State University), Vladimir A. Palyulin(Lomonosov Moscow State University), Eugene V. Radchenko(Lomonosov Moscow State University), William J. Welsh(Rutgers, The State University of New Jersey), Vladyslav Kholodovych(Rutgers, The State University of New Jersey), Dmitriy S. Chekmarev(Rutgers, The State University of New Jersey), Artem Cherkasov(University of British Columbia), João Aires‐de‐Sousa(Universidade Nova de Lisboa), Qingyou Zhang(Henan University), Andreas Bender(University of Cambridge), Florian Nigsch, Luc Patiny(École Polytechnique Fédérale de Lausanne), Antony Williams, Valery Tkachenko, Igor V. Tetko(Helmholtz Zentrum München)
Journal of Computer-Aided Molecular Design
June 1, 2011
Cited by 676Open Access
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Abstract

The Online Chemical Modeling Environment is a web-based platform that aims to automate and simplify the typical steps required for QSAR modeling. The platform consists of two major subsystems: the database of experimental measurements and the modeling framework. A user-contributed database contains a set of tools for easy input, search and modification of thousands of records. The OCHEM database is based on the wiki principle and focuses primarily on the quality and verifiability of the data. The database is tightly integrated with the modeling framework, which supports all the steps required to create a predictive model: data search, calculation and selection of a vast variety of molecular descriptors, application of machine learning methods, validation, analysis of the model and assessment of the applicability domain. As compared to other similar systems, OCHEM is not intended to re-implement the existing tools or models but rather to invite the original authors to contribute their results, make them publicly available, share them with other users and to become members of the growing research community. Our intention is to make OCHEM a widely used platform to perform the QSPR/QSAR studies online and share it with other users on the Web. The ultimate goal of OCHEM is collecting all possible chemoinformatics tools within one simple, reliable and user-friendly resource. The OCHEM is free for web users and it is available online at http://www.ochem.eu.


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