Improving the Accuracy of an Affinity Prediction Method by Using Statistics on Shape Complementarity between Proteins-Reference-Cited by-同舟云学术

Improving the Accuracy of an Affinity Prediction Method by Using Statistics on Shape Complementarity between Proteins

Published:2009-02-10 Issue:3 Volume:49 Page:693-703
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Yoshikawa Tatsuya¹,Tsukamoto Koki¹,Hourai Yuichiro¹,Fukui Kazuhiko¹

Affiliation:

1. Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology (AIST), 2-42 Aomi, Koto-ku, Tokyo 135-0064, Japan, and Department of Bioinformatic Engineering, Graduate School of Information Science and Technology, Osaka University, 1-3 Machikaneyama, Toyonaka, Osaka 560-8531, Japan

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/ci800310f

Reference44 articles.

1. Principles of protein-protein interactions.

2. The atomic structure of protein-protein recognition sites 1 1Edited by A. R. Fersht

3. Examination of shape complementarity in docking ofUnbound proteins

4. A novel genetic system to detect protein–protein interactions

5. Toward a protein-protein interaction map of the budding yeast: A comprehensive system to examine two-hybrid interactions in all possible combinations between the yeast proteins

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