PepPro: A Nonredundant Structure Data Set for Benchmarking Peptide–Protein Computational Docking-Reference-Cited by-同舟云学术

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PepPro: A Nonredundant Structure Data Set for Benchmarking Peptide–Protein Computational Docking

Published:2019-12-02 Issue:4 Volume:41 Page:362-369
ISSN:0192-8651
Container-title:Journal of Computational Chemistry
language:en
Short-container-title:J Comput Chem

Author:

Xu Xianjin¹²³⁴,Zou Xiaoqin¹²³⁴^ORCID

Affiliation:

1. Dalton Cardiovascular Research Center University of Missouri Columbia Missouri 65211

2. Department of Physics and Astronomy University of Missouri Columbia Missouri 65211

3. Department of Biochemistry University of Missouri Columbia Missouri 65211

4. Informatics Institute, University of Missouri Columbia Missouri 65211

Funder

Division of Computer and Network Systems

National Heart, Lung, and Blood Institute

National Institute of General Medical Sciences

Publisher

Wiley

Subject

Computational Mathematics,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jcc.26114

Reference36 articles.

1. Peptide-mediated interactions in biological systems: new discoveries and applications

2. Reaching for high-hanging fruit in drug discovery at protein–protein interfaces

3. Druggable protein–protein interactions – from hot spots to hot segments

4. The Future of Peptide-based Drugs

5. Peptide therapeutics: current status and future directions

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Discrimination of Protein-Protein and Protein-Peptide Interactions using Machine Learning Methods;2024-05-09

2. Current Computational Methods for Protein-Peptide Complex Structure Prediction;Current Medicinal Chemistry;2023-10-06

3. A Structure-based Data Set of Protein–Peptide Affinities and its Nonredundant Benchmark: Potential Applications in Computational Peptidology;Current Medicinal Chemistry;2023-09-08

4. Non-sequential alignment of binding sites for fast peptide screening;2023-08-03

5. Systematic analysis and comparison of peptide specificity and selectivity between their cognate receptors and noncognate decoys;Journal of Molecular Recognition;2023-01-17

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