Literature DB >> 12888355

Structure and energetics of protein-protein interactions: the role of conformational heterogeneity in OMTKY3 binding to serine proteases.

James R Horn1, S Ramaswamy, Kenneth P Murphy.   

Abstract

Proteins with flexible binding surfaces can interact with numerous binding partners. However, this promiscuity is more difficult to understand in "rigid-body" proteins, whose binding results in little, or no, change in the position of backbone atoms. The binding of Kazal inhibitors to serine proteases is considered a classic case of rigid-body binding, although they bind to a wide range of proteases. We have studied the thermodynamics of binding of the Kazal serine protease inhibitor, turkey ovomucoid third domain (OMTKY3), to the serine protease subtilisin Carlsberg using isothermal titration calorimetry and have determined the crystal structure of the complex at very high resolution (1.1A). Comparison of the binding energetics and structure to other OMTKY3 interactions demonstrates that small changes in the position of side-chains can make significant contributions to the binding thermodynamics, including the enthalpy of binding. These effects emphasize that small, "rigid-body" proteins are still dynamic structures, and these dynamics make contributions to both the enthalpy and entropy of binding interactions.

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Year:  2003        PMID: 12888355     DOI: 10.1016/s0022-2836(03)00783-6

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  13 in total

1.  Strategies for assessing proton linkage to bimolecular interactions by global analysis of isothermal titration calorimetry data.

Authors:  Nathan P Coussens; Peter Schuck; Huaying Zhao
Journal:  J Chem Thermodyn       Date:  2012-09-01       Impact factor: 3.178

2.  A comprehensive calorimetric investigation of an entropically driven T cell receptor-peptide/major histocompatibility complex interaction.

Authors:  Kathryn M Armstrong; Brian M Baker
Journal:  Biophys J       Date:  2007-04-20       Impact factor: 4.033

3.  Dissecting the Energetics of Intrinsically Disordered Proteins via a Hybrid Experimental and Computational Approach.

Authors:  Junjie Zou; Carlos Simmerling; Daniel P Raleigh
Journal:  J Phys Chem B       Date:  2019-12-03       Impact factor: 2.991

4.  Insights into the Maturation of Pernisine, a Subtilisin-Like Protease from the Hyperthermophilic Archaeon Aeropyrum pernix.

Authors:  Miha Bahun; Marko Šnajder; Dušan Turk; Nataša Poklar Ulrih
Journal:  Appl Environ Microbiol       Date:  2020-08-18       Impact factor: 4.792

Review 5.  Protonation and pK changes in protein-ligand binding.

Authors:  Alexey V Onufriev; Emil Alexov
Journal:  Q Rev Biophys       Date:  2013-05       Impact factor: 5.318

6.  Statistics and physical origins of pK and ionization state changes upon protein-ligand binding.

Authors:  Boris Aguilar; Ramu Anandakrishnan; Jory Z Ruscio; Alexey V Onufriev
Journal:  Biophys J       Date:  2010-03-03       Impact factor: 4.033

7.  Atomic analysis of protein-protein interfaces with known inhibitors: the 2P2I database.

Authors:  Raphaël Bourgeas; Marie-Jeanne Basse; Xavier Morelli; Philippe Roche
Journal:  PLoS One       Date:  2010-03-09       Impact factor: 3.240

8.  Insights derived from molecular dynamics simulation into the molecular motions of serine protease proteinase K.

Authors:  Shu-Qun Liu; Zhao-Hui Meng; Yun-Xin Fu; Ke-Qin Zhang
Journal:  J Mol Model       Date:  2009-05-23       Impact factor: 1.810

9.  Scaffold Hopping Transformations Using Auxiliary Restraints for Calculating Accurate Relative Binding Free Energies.

Authors:  Junjie Zou; Zhipeng Li; Shuai Liu; Chunwang Peng; Dong Fang; Xiao Wan; Zhixiong Lin; Tai-Sung Lee; Daniel P Raleigh; Mingjun Yang; Carlos Simmerling
Journal:  J Chem Theory Comput       Date:  2021-05-24       Impact factor: 6.578

10.  Volume-based solvation models out-perform area-based models in combined studies of wild-type and mutated protein-protein interfaces.

Authors:  Salim Bougouffa; Jim Warwicker
Journal:  BMC Bioinformatics       Date:  2008-10-21       Impact factor: 3.169

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