DG‐GL: Differential geometry‐based geometric learning of molecular datasets-Reference-Cited by-同舟云学术

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DG‐GL: Differential geometry‐based geometric learning of molecular datasets

Published:2019-02-07 Issue:3 Volume:35 Page:
ISSN:2040-7939
Container-title:International Journal for Numerical Methods in Biomedical Engineering
language:en
Short-container-title:Int J Numer Meth Biomed Engng

Author:

Nguyen Duc Duy¹,Wei Guo‐Wei¹²³^ORCID

Affiliation:

1. Department of Mathematics Michigan State University East Lansing 48824 Michigan

2. Department of Electrical and Computer Engineering Michigan State University MI 48824 USA

3. Department of Biochemistry and Molecular Biology Michigan State University East Lansing MI 48824 Michigan

Funder

National Institutes of Health

National Science Foundation

Publisher

Wiley

Subject

Applied Mathematics,Computational Theory and Mathematics,Molecular Biology,Modelling and Simulation,Biomedical Engineering,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cnm.3179

Reference86 articles.

1. Molecular Models of Amino Acids, Peptides, and Proteins

2. Precision space-filling atomic models

3. The interpretation of protein structures: Estimation of static accessibility

4. AREAS, VOLUMES, PACKING, AND PROTEIN STRUCTURE

5. Depth-buffer algorithms for molecular modelling

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