Solving the Secondary Structure Matching Problem in Cryo-EM De Novo Modeling Using a Constrained <formula formulatype="inline"><tex Notation="TeX">$K$</tex></formula>-Shortest Path Graph Algorithm-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Solving the Secondary Structure Matching Problem in Cryo-EM De Novo Modeling Using a Constrained $K$-Shortest Path Graph Algorithm

Published:2014-03 Issue:2 Volume:11 Page:419-430
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Al Nasr Kamal,Ranjan Desh,Zubair Mohammad,Lin Chen ,Jing He

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/6819503/06727403.pdf?arnumber=6727403

Cited by 29 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. The Combined Focal Cross Entropy and Dice Loss Function for Segmentation of Protein Secondary Structures from Cryo-EM 3D Density maps;2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2022-12-06

2. LPTD: a novel linear programming-based topology determination method for cryo-EM maps;Bioinformatics;2022-03-21

3. Three-Dimensional Graph Matching to Identify Secondary Structure Correspondence of Medium-Resolution Cryo-EM Density Maps;Biomolecules;2021-11-26

4. Combining Cryo-EM Density Map and Residue Contact for Protein Secondary Structure Topologies;Molecules;2021-11-22

5. A Tool for Segmentation of Secondary Structures in 3D Cryo-EM Density Map Components Using Deep Convolutional Neural Networks;Frontiers in Bioinformatics;2021-11-03

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