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

Онлайн-среда химического моделирования (OCHEM): веб-платформа для хранения данных, разработки моделей и публикации химической информации
Antony Williams, Artem Cherkasov, Johann Gasteiger, Peter Ertl, Gilles Marcou, Alexandre Varnek, Vladimir A. Palyulin, João Aires‐de‐Sousa, Luc Patiny, Matthias Rupp, Andreas Bender, Roberto Todeschini, Florian Nigsch, William J. Welsh, Stefan Brandmaier, Igor V. Tetko, Vsevolod Yu. Tanchuk, Iurii Sushko, Anil Kumar Pandey, Igor I. Baskin, Ahmed Abdelaziz, Maria Grishina, Eugene V. Radchenko, Sergii Novotarskyi, Robert Körner, Wolfram Teetz, В. В. Прокопенко, Vladimir Potemkin, Christof H. Schwab, Vladyslav Kholodovych, Dmitriy S. Chekmarev, Qingyou Zhang, Valery Tkachenko
2011-06-01

Applicability domainMolecular descriptorsOnline chemical modelingQSAR modelingQSPR/QSAR studies
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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Its user-contributed database supports easy entry, searching, and modification of thousands of records, emphasizing data quality and verifiability through a wiki-based approach.
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OCHEM is a web-based platform integrating experimental chemical-data storage with an end-to-end QSAR/QSPR modeling framework.
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OCHEM is freely accessible online and aims to consolidate chemoinformatics tools into a simple, reliable resource for web-based QSPR/QSAR studies.
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Rather than duplicating existing tools, OCHEM enables researchers to publish, share, and contribute their original models and results within a collaborative community.
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The integrated modeling framework covers molecular-descriptor calculation and selection, machine-learning methods, validation, model analysis, and applicability-domain assessment.

Online Chemical Modeling Environment (OCHEM), a web-based platform integrating a database of experimental chemical measurements with a QSAR/QSPR modeling framework

The platform’s capabilities for storing, verifying, sharing, and modeling chemical information, including predictive QSAR/QSPR model development and validation

Publication Details
Publication Date
2011-06-01
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Authors
Antony Williams
Artem Cherkasov
Johann Gasteiger
Peter Ertl
Gilles Marcou
Alexandre Varnek
Vladimir A. Palyulin
João Aires‐de‐Sousa
Luc Patiny
Matthias Rupp
Andreas Bender
Roberto Todeschini
Florian Nigsch
William J. Welsh
Stefan Brandmaier
Igor V. Tetko
Vsevolod Yu. Tanchuk
Iurii Sushko
Anil Kumar Pandey
Igor I. Baskin
Ahmed Abdelaziz
Maria Grishina
Eugene V. Radchenko
Sergii Novotarskyi
Robert Körner
Wolfram Teetz
В. В. Прокопенко
Vladimir Potemkin
Christof H. Schwab
Vladyslav Kholodovych
Dmitriy S. Chekmarev
Qingyou Zhang
Valery Tkachenko
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