Spatial Layouts of Low‐Entropy Hydration Shells Guide Protein Binding

Author:

Yang Lin12ORCID,Guo Shuai1,Liao Chenchen3,Hou Chengyu3,Jiang Shenda1,Li Jiacheng1,Ma Xiaoliang1,Shi Liping1,Ye Lin4,He Xiaodong15

Affiliation:

1. National Key Laboratory of Science and Technology on Advanced Composites in Special Environments Center for Composite Materials and Structures Harbin Institute of Technology Harbin 150080 P. R. China

2. School of Aerospace Mechanical and Mechatronic Engineering The University of Sydney NSW 2006 Australia

3. School of Electronics and Information Engineering Harbin Institute of Technology Harbin 150080 P. R. China

4. School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen 518055 P. R. China

5. Shenzhen STRONG Advanced Materials Research Institute Co., Ltd Shenzhen 518035 P. R. China

Abstract

AbstractProtein–protein binding enables orderly biological self‐organization and is therefore considered a miracle of nature. Protein‒protein binding is driven by electrostatic forces, hydrogen bonding, van der Waals force, and hydrophobic interactions. Among these physical forces, only hydrophobic interactions can be considered long‐range intermolecular attractions between proteins due to the electrostatic shielding of surrounding water molecules. Low‐entropy hydration shells around proteins drive hydrophobic attraction among them that essentially coordinate protein‒protein binding. Here, an innovative method is developed for identifying low‐entropy regions of hydration shells of proteins by screening off pseudohydrophilic groups on protein surfaces and revealing that large low‐entropy regions of the hydration shells typically cover the binding sites of individual proteins. According to an analysis of determined protein complex structures, shape matching between a large low‐entropy hydration shell region of a protein and that of its partner at the binding sites is revealed as a universal law. Protein‒protein binding is thus found to be mainly guided by hydrophobic collapse between the shape‐matched low‐entropy hydration shells that is verified by bioinformatics analyses of hundreds of structures of protein complexes, which cover four test systems. A simple algorithm is proposed to accurately predict protein binding sites.

Publisher

Wiley

Subject

Multidisciplinary

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