Predicting Designability of Small Proteins from Graph Features of Contact Maps

被引:4
作者
Leelananda, Sumudu P. [1 ]
Jernigan, Robert L. [2 ,3 ]
Kloczkowski, Andrzej [1 ,4 ]
机构
[1] Nationwide Childrens Hosp, Columbus, OH 43215 USA
[2] Iowa State Univ, Ames, IA USA
[3] Baker Ctr Bioinformat & Biol Stat, Ames, IA USA
[4] Ohio State Univ, Columbus, OH 43210 USA
基金
美国国家卫生研究院;
关键词
contact maps; designability; graph features; interaction network; lattice models; machine learning; network; prediction; structure; LATTICE MODEL; NETWORKS; RESIDUES; IDENTIFICATION; CONFORMATIONS; STABILITY; EMERGENCE; EVOLUTION; DYNAMICS; DOMAINS;
D O I
10.1089/cmb.2015.0209
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Highly designable structures can be distinguished based on certain geometric graphical features of the interactions, confirming the fact that the topology of a protein structure and its residue-residue interaction network are important determinants of its designability. The most designable structures and least designable structures obtained for sets of proteins having the same number of residues are compared. It is shown that the most designable structures predicted by the graph features of the contact diagrams are more densely packed, whereas the poorly designable structures are more open structures or structures that are loosely packed. Interestingly enough, it can also be seen that the highly designable identified are also common structural motifs found in nature.
引用
收藏
页码:400 / 411
页数:12
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