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research article

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

Sushko, Iurii
•
Novotarskyi, Sergii
•
Koerner, Robert
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2011
Journal Of Computer-Aided Molecular Design

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.

  • Details
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Type
research article
DOI
10.1007/s10822-011-9440-2
Web of Science ID

WOS:000292570800007

Author(s)
Sushko, Iurii
•
Novotarskyi, Sergii
•
Koerner, Robert
•
Pandey, Anil Kumar
•
Rupp, Matthias
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Teetz, Wolfram
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Brandmaier, Stefan
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Abdelaziz, Ahmed
•
Prokopenko, Volodymyr V.
•
Tanchuk, Vsevolod Y.
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Date Issued

2011

Published in
Journal Of Computer-Aided Molecular Design
Volume

25

Start page

533

End page

554

Subjects

On-line web platform

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Modeling workflow

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Estimation of accuracy of predictions

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Applicability domain

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Data sharing

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Open access

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Associative Neural Networks

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E-State Indexes

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Shape Signatures

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In-Silico

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Molecular Similarity

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Drug Discovery

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Partition-Coefficients

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Applicability Domain

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Prediction

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Descriptors

Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
ISIC-GE  
Available on Infoscience
December 16, 2011
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/73849
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