ParaDockS: A Framework for Molecular Docking with Population-Based Metaheuristics-Reference-Cited by-同舟云学术

ParaDockS: A Framework for Molecular Docking with Population-Based Metaheuristics

Published:2010-04-26 Issue:5 Volume:50 Page:879-889
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Meier René¹,Pippel Martin¹,Brandt Frank¹,Sippl Wolfgang¹,Baldauf Carsten¹

Affiliation:

1. Department of Pharmaceutical Chemistry, Martin-Luther Universität Halle-Wittenberg, Wolfgang-Langenbeck-Strasse 4, 06120 Halle/Saale, Germany, Research Center Pharmaceutical Engineering GmbH, Inffeldgasse 21a/II, 8010 Graz, Austria, Biotechnologisches Zentrum der TU Dresden, Tatzberg 47/49, 01307 Dresden, Germany, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, 200031 Shanghai, P. R. China, and Heidelberg...

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/ci900467x

Reference53 articles.

1. Integration of virtual and high-throughput screening

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4. Surflex: Fully Automatic Flexible Molecular Docking Using a Molecular Similarity-Based Search Engine

5. eHiTS: An Innovative Approach to the Docking and Scoring Function Problems

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