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Minireview

Molecular dynamics for antimicrobial peptide discovery

Nicholas Palmer, Jacqueline R. M. A. Maasch, Marcelo D. T. Torres, Cesar de la Fuente-Nunez
Nicholas Palmer
1Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States of America.
2Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States of America.
3Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States of America.
4Department of Biochemistry and Molecular Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States of America.
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Jacqueline R. M. A. Maasch
1Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States of America.
2Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States of America.
3Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States of America.
5Department of Computer and Information Science, University of Pennsylvania School of Engineering and Applied Science, Philadelphia, Pennsylvania 19104, United States of America
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Marcelo D. T. Torres
1Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States of America.
2Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States of America.
3Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States of America.
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Cesar de la Fuente-Nunez
1Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States of America.
2Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States of America.
3Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States of America.
4Department of Biochemistry and Molecular Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States of America.
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  • For correspondence: cfuente@upenn.edu
DOI: 10.1128/IAI.00703-20
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ABSTRACT

Although antimicrobial resistance is an increasingly significant public health concern, there have only been two new classes of antibiotics approved for human use since the 1960s. Understanding the mechanisms of action of antibiotics is critical for novel antibiotic discovery, though novel approaches are needed that do not exclusively rely on experiments. Molecular dynamics simulation is a computational tool that uses simple models of the atoms in a system to discover nanoscale insights into the dynamic relationship between mechanism and biological function. Such insights can lay the framework for elucidating mechanism of action and optimizing antibiotic templates. Antimicrobial peptides represent a promising solution to escalating antimicrobial resistance given their lesser tendency to induce resistance than small molecule antibiotics. Simulations of these agents have already revealed how they interact with bacterial membranes and the underlying physiochemical features directing their structure and function. In this Minireview, we discuss how traditional molecular dynamics simulation works, and its role and potential for the development of new antibiotic candidates with an emphasis on antimicrobial peptides.

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Molecular dynamics for antimicrobial peptide discovery
Nicholas Palmer, Jacqueline R. M. A. Maasch, Marcelo D. T. Torres, Cesar de la Fuente-Nunez
Infection and Immunity Feb 2021, IAI.00703-20; DOI: 10.1128/IAI.00703-20

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Molecular dynamics for antimicrobial peptide discovery
Nicholas Palmer, Jacqueline R. M. A. Maasch, Marcelo D. T. Torres, Cesar de la Fuente-Nunez
Infection and Immunity Feb 2021, IAI.00703-20; DOI: 10.1128/IAI.00703-20
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