Capturing surface complementarity in proteins using unsupervised learning and robust curvature measure-Reference-Cited by-同舟云学术

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Capturing surface complementarity in proteins using unsupervised learning and robust curvature measure

Published:2022-04-23 Issue:9 Volume:90 Page:1669-1683
ISSN:0887-3585
Container-title:Proteins: Structure, Function, and Bioinformatics
language:en
Short-container-title:Proteins

Author:

Gupta Abhijit¹,Mukherjee Arnab¹^ORCID

Affiliation:

1. Department of Chemistry Indian Institute of Science Education and Research Pune Maharashtra India

Funder

Department of Biotechnology, Government of West Bengal

Publisher

Wiley

Subject

Molecular Biology,Biochemistry,Structural Biology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/prot.26345

Reference47 articles.

1. Mapping the Protein Universe

2. Surface shape and curvature scales

3. Multi-Scale Surface Descriptors

4. Modeling Membrane Curvature Generation due to Membrane–Protein Interactions

5. Geometric modeling of subcellular structures, organelles, and multiprotein complexes

Cited by 2 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. Shape Theory Applied to Molecular Docking and Automatic Localization of Ligand Binding Pockets in Large Proteins;ACS Omega;2022-12-06

2. Cerebral venous sinus thrombosis and dural arteriovenous fistula associated with protein S deficiency: a case series study;BMC Neurology;2022-05-02

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