DSDP: A Blind Docking Strategy Accelerated by GPUs-Reference-Cited by-同舟云学术

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DSDP: A Blind Docking Strategy Accelerated by GPUs

Published:2023-06-30 Issue:14 Volume:63 Page:4355-4363
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Huang YuPeng¹^ORCID,Zhang Hong¹^ORCID,Jiang Siyuan¹,Yue Dajiong²,Lin Xiaohan¹,Zhang Jun³^ORCID,Gao Yi Qin¹⁴^ORCID

Affiliation:

1. College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China

2. Huawei Building, No. 3 Xinxi Road, Haidian District, Beijing 100085, China

3. Beijing Changping Lab, Yard 28, Science Park Road, Changping, Beijing 102200, China

4. Biomedical Pioneering Innovation Center, Peking University, Beijing 100871, China

Funder

National Natural Science Foundation of China

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/acs.jcim.3c00519

Reference43 articles.

1. Applications of machine learning in drug discovery and development

2. Molecular Docking: Challenges, Advances and its Use in Drug Discovery Perspective

3. Highly accurate protein structure prediction with AlphaFold

4. ColabFold: making protein folding accessible to all

5. Accurate prediction of protein structures and interactions using a three-track neural network

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