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Domain-Based Protein Docking with Extremely Large Conformational Changes
Affiliation:1. Department of Computer Science, Purdue University, West Lafayette, IN 47907, USA;2. Department of Biological Sciences, Purdue University, West Lafayette, IN 47907, USA;3. Purdue University Center for Cancer Research, Purdue University, West Lafayette, IN 47907, USA;1. Indian Institute of Science Education and Research, Pune, India;2. National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bengaluru, India;1. State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China;2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China;3. School of Life Sciences, University of Science and Technology of China, Hefei 230026, China;4. Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China;1. Department of Cell Biology and Biochemistry, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA;2. University of Texas Southwestern Medical Center, Dallas, TX 75390, USA;3. Department of Biological Sciences, Texas Tech University, Lubbock, TX 79409, USA;1. Department of Cell Biology, Microbiology, and Molecular Biology, University of South Florida, Tampa, FL 33620, United States;2. Molecular Oncology Department, Moffitt Cancer Center, Tampa, FL 33612, United States;1. Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), 30 Biopolis Street, #07-01, Matrix 138671, Singapore;2. Department of Biological Sciences (DBS), National University of Singapore (NUS), 8 Medical Drive, 117579, Singapore;1. College of Chemical and Biological Engineering & ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310058, China;2. Centre for Synthetic and Systems Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3FF, United Kingdom;3. Research Centre of Biological Computation, Zhejiang Laboratory, Hangzhou 311100, China
Abstract:Proteins are key components in many processes in living cells, and physical interactions with other proteins and nucleic acids often form key parts of their functions. In many cases, large flexibility of proteins as they interact is key to their function. To understand the mechanisms of these processes, it is necessary to consider the 3D structures of such protein complexes. When such structures are not yet experimentally determined, protein docking has long been present to computationally generate useful structure models. However, protein docking has long had the limitation that the consideration of flexibility is usually limited to very small movements or very small structures. Methods have been developed which handle minor flexibility via normal mode or other structure sampling, but new methods are required to model ordered proteins which undergo large-scale conformational changes to elucidate their function at the molecular level. Here, we present Flex-LZerD, a framework for docking such complexes. Via partial assembly multidomain docking and an iterative normal mode analysis admitting curvilinear motions, we demonstrate the ability to model the assembly of a variety of protein–protein and protein-nucleic acid complexes.
Keywords:Protein–protein docking  Protein-nucleic acid docking  Nucleic acid docking  Flexible docking  Flexible assembly
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