NNScore: A Neural-Network-Based Scoring Function for the Characterization of Protein−Ligand Complexes-Reference-Cited by-同舟云学术

NNScore: A Neural-Network-Based Scoring Function for the Characterization of Protein−Ligand Complexes

Published:2010-09-16 Issue:10 Volume:50 Page:1865-1871
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Durrant Jacob D.¹,McCammon J. Andrew¹

Affiliation:

1. Department of Chemistry & Biochemistry, NSF Center for Theoretical Biological Physics, National Biomedical Computation Resource, Department of Pharmacology, and Howard Hughes Medical Institute, University of California San Diego, La Jolla, California 92093

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/ci100244v

Reference32 articles.

1. Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function

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4. FEP-Guided Selection of Bicyclic Heterocycles in Lead Optimization for Non-Nucleoside Inhibitors of HIV-1 Reverse Transcriptase

5. STRUCTURE-BASED DRUG DESIGN:Computational Advances

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