A database assisted protein structure prediction method via a swarm intelligence algorithm
Author:
Affiliation:
1. State Key Laboratory of Superhard Materials
2. Jilin University
3. Changchun 130012
4. China
5. College of Materials Science and Engineering
Abstract
A swarm-intelligence-based protein structure prediction method holds promise for narrowing the sequence-structure gap of proteins.
Publisher
Royal Society of Chemistry (RSC)
Subject
General Chemical Engineering,General Chemistry
Link
http://pubs.rsc.org/en/content/articlepdf/2017/RA/C7RA07461A
Reference53 articles.
1. H. Rangwala and G.Karypis, Introduction to protein structure prediction: methods and algorithms, John Wiley & Sons, Inc, Hoboken, New Jersey, 2010
2. The Universal Protein Resource (UniProt)
3. The Protein Data Bank
4. SWISS-MODEL and the Swiss-Pdb Viewer: An environment for comparative protein modeling
5. Protein threading using PROSPECT: Design and evaluation
Cited by 8 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. A novel method for atomization energy prediction based on natural-parameter network;Chinese Chemical Letters;2024-01
2. Construction of Aviation Intelligent Computer Aided Training System Based on Swarm Intelligence Optimization Algorithm;2023 International Conference on Mechatronics, IoT and Industrial Informatics (ICMIII);2023-06
3. Protein structure prediction using the evolutionary algorithm USPEX;Proteins: Structure, Function, and Bioinformatics;2023-03-02
4. Structure Optimization of Carbon Nanotubes Based on Swarm Intelligence Algorithm and Evolutionary Computation;Journal of Nanomaterials;2022-08-05
5. Design of Table Tennis Training Competition Knowledge Interaction Platform Integrating Improved Swarm Intelligence Algorithm;Computational Intelligence and Neuroscience;2022-08-01
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