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Foundations of Molecular Modeling and Simulation

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Attention for Chapter 1: A Discontinuous Potential Model for Protein–Protein Interactions
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Chapter title
A Discontinuous Potential Model for Protein–Protein Interactions
Chapter number 1
Book title
Foundations of Molecular Modeling and Simulation
Published in
Foundations of Molecular Modeling and Simulation : select papers from FOMMS 2015. International Conference on Foundations of Molecular Modeling and Simulation (6th : 2015 : Mount Hood, Or.), January 2016
DOI 10.1007/978-981-10-1128-3_1
Pubmed ID
Book ISBNs
978-9-81-101126-9, 978-9-81-101128-3
Authors

Qing Shao, Carol K. Hall, Shao, Qing, Hall, Carol K.

Abstract

Protein-protein interactions play an important role in many biologic and industrial processes. In this work, we develop a two-bead-per-residue model that enables us to account for protein-protein interactions in a multi-protein system using discontinuous molecular dynamics simulations. This model deploys discontinuous potentials to describe the non-bonded interactions and virtual bonds to keep proteins in their native state. The geometric and energetic parameters are derived from the potentials of mean force between sidechain-sidechain, sidechain-backbone, and backbone-backbone pairs. The energetic parameters are scaled with the aim of matching the second virial coefficient of lysozyme reported in experiment. We also investigate the performance of several bond-building strategies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Professor 2 25%
Lecturer 1 13%
Student > Doctoral Student 1 13%
Student > Master 1 13%
Other 1 13%
Readers by discipline Count As %
Chemical Engineering 2 25%
Materials Science 2 25%
Pharmacology, Toxicology and Pharmaceutical Science 1 13%
Engineering 1 13%
Unknown 2 25%