Editorial: Machine learning for peptide structure, function, and design
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-09-01
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Series: | Frontiers in Genetics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2022.1007635/full |
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author | Ruiquan Ge Ruiquan Ge Chuan Dong Juexin Wang Yanjie Wei |
author_facet | Ruiquan Ge Ruiquan Ge Chuan Dong Juexin Wang Yanjie Wei |
author_sort | Ruiquan Ge |
collection | DOAJ |
first_indexed | 2024-04-11T21:02:09Z |
format | Article |
id | doaj.art-a7bec0761fca460ba89a603e5f15ebc2 |
institution | Directory Open Access Journal |
issn | 1664-8021 |
language | English |
last_indexed | 2024-04-11T21:02:09Z |
publishDate | 2022-09-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Genetics |
spelling | doaj.art-a7bec0761fca460ba89a603e5f15ebc22022-12-22T04:03:28ZengFrontiers Media S.A.Frontiers in Genetics1664-80212022-09-011310.3389/fgene.2022.10076351007635Editorial: Machine learning for peptide structure, function, and designRuiquan Ge0Ruiquan Ge1Chuan Dong2Juexin Wang3Yanjie Wei4School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, ChinaHangzhou Institute of Advanced Technology, Hangzhou, ChinaKey Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education, and School of Pharmaceutical Sciences, Wuhan University, Wuhan, ChinaDepartment of BioHealth Informatics, Indiana University Purdue University Indianapolis, Indianapolis, IN, United StatesShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Chinahttps://www.frontiersin.org/articles/10.3389/fgene.2022.1007635/fullmachine learningfunctional peptidesdeep learningdrug designpeptide therapeutics |
spellingShingle | Ruiquan Ge Ruiquan Ge Chuan Dong Juexin Wang Yanjie Wei Editorial: Machine learning for peptide structure, function, and design Frontiers in Genetics machine learning functional peptides deep learning drug design peptide therapeutics |
title | Editorial: Machine learning for peptide structure, function, and design |
title_full | Editorial: Machine learning for peptide structure, function, and design |
title_fullStr | Editorial: Machine learning for peptide structure, function, and design |
title_full_unstemmed | Editorial: Machine learning for peptide structure, function, and design |
title_short | Editorial: Machine learning for peptide structure, function, and design |
title_sort | editorial machine learning for peptide structure function and design |
topic | machine learning functional peptides deep learning drug design peptide therapeutics |
url | https://www.frontiersin.org/articles/10.3389/fgene.2022.1007635/full |
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