The significance of molecular mechanics property to protein evolution
Zhang LM; Liu X(刘鑫)
刊名INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS
2013
通讯作者邮箱liuxin@lnm.imech.ac.cn
卷号8期号:1页码:83-91
关键词hydrophobic interaction protein evolution mechanics property
ISSN号1748-5673
通讯作者Liu, X (reprint author), Chinese Acad Sci, State Key Lab Nonlinear Mech, Inst Mech, 15 Beisihuanxi Rd, Beijing 100190, Peoples R China.
产权排序[Zhang, Li-Mei] Beijing Jiaotong Univ, Sch Sci, Beijing 100044, Peoples R China; [Liu, Xin] Chinese Acad Sci, State Key Lab Nonlinear Mech, Inst Mech, Beijing 100190, Peoples R China
合作状况国内
中文摘要In the study of protein homology, multiple physical systems that correspond to different proteins must be jointly considered, such that the similarity of homologs can be explained in an aspect of the physics. Compared with the investigations that focus on the character of certain protein, the research object changes from one physical system to a set of systems. For this enlarged object, the importance of different physical quantities is still unclear. In an aspect of hydrophobic interaction, we rank the significance of different physical quantities here, according to their contribution to the conservation of family representative biological properties in protein evolution. Molecular mechanics property is suggested to be the governing factor responsible for protein homology.
学科主题生物力学
分类号Q4
收录类别SCI
原文出处http://dx.doi.org/10.1504/IJDMB.2013.054698
语种英语
WOS记录号WOS:000320772900005
公开日期2013-09-09
内容类型期刊论文
源URL[http://dspace.imech.ac.cn/handle/311007/47409]  
专题力学研究所_非线性力学国家重点实验室
推荐引用方式
GB/T 7714
Zhang LM,Liu X. The significance of molecular mechanics property to protein evolution[J]. INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS,2013,8(1):83-91.
APA Zhang LM,&刘鑫.(2013).The significance of molecular mechanics property to protein evolution.INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS,8(1),83-91.
MLA Zhang LM,et al."The significance of molecular mechanics property to protein evolution".INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS 8.1(2013):83-91.
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