Prediction of New Bioactive Molecules using a Bayesian Belief Network-Reference-Cited by-同舟云学术

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Prediction of New Bioactive Molecules using a Bayesian Belief Network

Published:2014-01-15 Issue:1 Volume:54 Page:30-36
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Abdo Ammar¹²,Leclère Valérie³,Jacques Philippe³,Salim Naomie⁴,Pupin Maude¹

Affiliation:

1. LIFL UMR CNRS 8022 Université Lille1 and INRIA Lille Nord Europe, 59655 Villeneuve d’Ascq cedex, France

2. Computer Science Department, Hodeidah University, Hodeidah, Yemen

3. ProBioGEM, UPRES EA 1026, Polytech’Lille, Av P. Langevin, Univ Lille 1- Sciences et Technologies, 59655 Villeneuve d’Ascq cedex, France

4. Faculty of Computer Science and Information Systems, Universiti Teknologi Malaysia, 81310, Skudai, Malaysia

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ci4004909

Reference43 articles.

1. Contemporary QSAR Classifiers Compared

2. New QSAR Methods Applied to Structure−Activity Mapping and Combinatorial Chemistry

3. Application of Genetic Function Approximation to Quantitative Structure-Activity Relationships and Quantitative Structure-Property Relationships

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