TY - CHAP
T1 - Replica exchange molecular dynamics
T2 - A practical application protocol with solutions to common problems and a peptide aggregation and self-assembly example
AU - Qi, Ruxi
AU - Wei, Guanghong
AU - Ma, Buyong
AU - Nussinov, Ruth
N1 - Publisher Copyright:
© 2018, Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2018
Y1 - 2018
N2 - Protein aggregation is associated with many human diseases such as Alzheimer’s disease (AD), Parkinson’s disease (PD), and type II diabetes (T2D). Understanding the molecular mechanism of protein aggregation is essential for therapy development. Molecular dynamics (MD) simulations have been shown as powerful tools to study protein aggregation. However, conventional MD simulations can hardly sample the whole conformational space of complex protein systems within acceptable simulation time as it can be easily trapped in local minimum-energy states. Many enhanced sampling methods have been developed. Among these, the replica exchange molecular dynamics (REMD) method has gained great popularity. By combining MD simulation with the Monte Carlo algorithm, the REMD method is capable of overcoming high energy-barriers easily and of sampling sufficiently the conformational space of proteins. In this chapter, we present a brief introduction to REMD method and a practical application protocol with a case study of the dimerization of the 11–25 fragment of human islet amyloid polypeptide (hIAPP(11–25)), using the GROMACS software. We also provide solutions to problems that are often encountered in practical use, and provide some useful scripts/commands from our research that can be easily adapted to other systems.
AB - Protein aggregation is associated with many human diseases such as Alzheimer’s disease (AD), Parkinson’s disease (PD), and type II diabetes (T2D). Understanding the molecular mechanism of protein aggregation is essential for therapy development. Molecular dynamics (MD) simulations have been shown as powerful tools to study protein aggregation. However, conventional MD simulations can hardly sample the whole conformational space of complex protein systems within acceptable simulation time as it can be easily trapped in local minimum-energy states. Many enhanced sampling methods have been developed. Among these, the replica exchange molecular dynamics (REMD) method has gained great popularity. By combining MD simulation with the Monte Carlo algorithm, the REMD method is capable of overcoming high energy-barriers easily and of sampling sufficiently the conformational space of proteins. In this chapter, we present a brief introduction to REMD method and a practical application protocol with a case study of the dimerization of the 11–25 fragment of human islet amyloid polypeptide (hIAPP(11–25)), using the GROMACS software. We also provide solutions to problems that are often encountered in practical use, and provide some useful scripts/commands from our research that can be easily adapted to other systems.
KW - Free energy landscape
KW - GROMACS
KW - Human islet amyloid polypeptide
KW - Molecular dynamics simulations
KW - Protein aggregation
KW - REMD
KW - Replica exchange method
UR - http://www.scopus.com/inward/record.url?scp=85046963452&partnerID=8YFLogxK
U2 - 10.1007/978-1-4939-7811-3_5
DO - 10.1007/978-1-4939-7811-3_5
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C2 - 29744830
AN - SCOPUS:85046963452
T3 - Methods in Molecular Biology
SP - 101
EP - 119
BT - Methods in Molecular Biology
PB - Humana Press Inc.
ER -