Enhanced molecular docking: Novel algorithm for identifying highest weight k-cliques in weighted general and protein-ligand graphs-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Enhanced molecular docking: Novel algorithm for identifying highest weight k-cliques in weighted general and protein-ligand graphs

Published:2024-05 Issue: Volume:1304 Page:137639
ISSN:0022-2860
Container-title:Journal of Molecular Structure
language:en
Short-container-title:Journal of Molecular Structure

Author:

Rozman Kati,Ghysels An,Zavalnij Bogdan,Kunej Tanja^ORCID,Bren Urban,Janežič Dušanka,Konc Janez

Funder

ARRS

Publisher

Elsevier BV

Reference21 articles.

1. Efficient algorithms for clique problems;Vassilevska;Inf. Process Lett.,2009

2. Clique search in graphs of special class and job shop scheduling;Szabó;Mathematics,2022

3. k-Clique percolation and clustering;Palla,2008

4. Heterogeneous quantum computing for satellite constellation optimization: solving the weighted k-clique problem;Bass;Quantum Sci. Technol.,2018

5. Graph domination, coloring and cliques in telecommunications;Balasundaram,2006

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