GrAPFI: predicting enzymatic function of proteins from domain similarity graphs-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

GrAPFI: predicting enzymatic function of proteins from domain similarity graphs

Published:2020-04-29 Issue:1 Volume:21 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Sarker Bishnu,Ritchie David W.,Aridhi Sabeur^ORCID

Abstract

An amendment to this paper has been published and can be accessed via the original article.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

https://link.springer.com/content/pdf/10.1186/s12859-020-3460-7.pdf

Reference44 articles.

1. The UniProt Consortium. UniProt: a hub for protein information. Nucleic Acids Res. 2015; 43(D204-D212). https://doi.org/10.1093/nar/gku989.

2. Gattiker A, Michoud K, Rivoire C, Auchincloss AH, Coudert E, Lima T, Kersey P, Pagni M, Sigrist CJA, Lachaize C, Veuthey A-L, Gasteiger E, Bairoch A. Automated annotation of microbial proteomes in SWISS-PROT. Comput Biol Chem. 2003; 27(1):49–58.

3. Kretschmann E, Fleischmann W, Apweiler R. Automatic rule generation for protein annotation with the C4.5 data mining algorithm applied on SWISS-PROT. Bioinformatics. 2001; 17(10):920–6.

4. Quinlan JR. Induction of decision trees. Mach Learn. 1986; 1(1):81–106.

5. Dobson PD, Doig AJ. Predicting enzyme class from protein structure without alignments. J Mol Biol. 2005; 345(1):187–99.

Cited by 9 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. Limitations of Current Machine-Learning Models in Predicting Enzymatic Functions for Uncharacterized Proteins;2024-07-03

2. Machine Learning: A Suitable Method for Biocatalysis;Catalysts;2023-06-01

3. Enzyme Substrate Prediction from Three-Dimensional Feature Representations Using Space-Filling Curves;Journal of Chemical Information and Modeling;2023-02-20

4. Elucidating the functional roles of prokaryotic proteins using big data and artificial intelligence;FEMS Microbiology Reviews;2023-01

5. Improving automatic GO annotation with semantic similarity;BMC Bioinformatics;2022-12-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3