StructRank: A New Approach for Ligand-Based Virtual Screening-Reference-Cited by-同舟云学术

StructRank: A New Approach for Ligand-Based Virtual Screening

Published:2010-12-17 Issue:1 Volume:51 Page:83-92
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Rathke Fabian¹,Hansen Katja¹,Brefeld Ulf¹,Müller Klaus-Robert¹

Affiliation:

1. Department of Machine Learning, University of Technology, Berlin, Germany, Department of Image and Pattern Analysis, University of Heidelberg, Germany, and Yahoo! Research, Avinguda Diagonal 177, 08018 Barcelona, Spain

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/ci100308f

Reference52 articles.

1. Virtual screening of chemical libraries

2. Virtual screening—an overview

3. Large-scale virtual screening for discovering leads in the postgenomic era

4. Successful Virtual Screening of a Chemical Database for Farnesyltransferase Inhibitor Leads

5. From Machine Learning to Natural Product Derivatives that Selectively Activate Transcription Factor PPARγ

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