Classification of protein domains based on their three-dimensional shapes (CPD3DS)

查看全文 作　　者：Zhaochang [1]Yang;Mingkang [1]Liu;Bin [2]Wang;Beibei [1,3]Wang

机构地区：[1]School of Life Science and Technology,University of Electronic Science and Technology of China,China;[2]School of Information and Software Engineering,University of Electronic Science and Technology of China,China;[3]Centre for Informational Biology,University of Electronic Science and Technology of China,2006 Xiyuan Road,Chengdu,Sichuan,611731,China

出　　处：《Synthetic and Systems Biotechnology》索引2021年第6卷第3期,共7页

基　　金：supported by the National Natural Science Foundation of China(No.31971176 and 31800616);the Fundamental Research Funds for the Central Universities(No.A03018023601045). 摘　　要：Protein design has become a powerful method to expand the number of natural proteins and design customized proteins according to demands.Domain-based protein design spares the need to create novel elements from scratch,which makes it a more efficient strategy than scratch-based protein design in designing multi-domain proteins,protein complexes and biomaterials.As the surface shape plays a central role in domain-domain and protein-protein interactions,a global map of the surface shapes of all domains should be very beneficial for domain-based protein design.Therefore,in this study,we characterized the surface shapes of protein domains,collected from CATH and SCOP databases,with their 3D-Zernike descriptors(3DZDs).Then similarities of domain shape features were identified,and all domains were classified accordingly.The preferences of the combinations of domains between different clusters were analyzed in natural proteins from the Protein Data Bank.A user-friendly website,termed CPD3DS,was also developed for storage,retrieval,analyses and visualization of our results.This work not only provides an overall view of protein domain shapes by showing their variety and similarities,but also opens up a new avenue to understand the properties of protein structural domains,and design principles of protein architectures. 关键词：3D-zernike descriptors K-MEANS Shape similarity Domain surface shapes Structural similarity

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Classification of protein domains based on their three-dimensional shapes (CPD3DS)

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