Peptide Design Principles for Antimicrobial Applications

Marcelo D T Torres¹, Shanmugapriya Sothiselvam², Timothy K Lu², Cesar de la Fuente-Nunez³

Affiliations

¹ Synthetic Biology Group, MIT Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Biological Engineering, and Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA; The Center for Microbiome Informatics and Therapeutics, Cambridge, MA 02139, USA; Centro de Ciências Naturais e Humanas, Universidade Federal do ABC, Santo André, São Paulo 09210580, Brazil.
² Synthetic Biology Group, MIT Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Biological Engineering, and Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA; The Center for Microbiome Informatics and Therapeutics, Cambridge, MA 02139, USA.
³ Synthetic Biology Group, MIT Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Biological Engineering, and Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA; The Center for Microbiome Informatics and Therapeutics, Cambridge, MA 02139, USA. Electronic address: cfuente@mit.edu.

PMID: 30611750
DOI: 10.1016/j.jmb.2018.12.015

Review

Peptide Design Principles for Antimicrobial Applications

Marcelo D T Torres et al. J Mol Biol. 2019.

. 2019 Aug 23;431(18):3547-3567.

doi: 10.1016/j.jmb.2018.12.015. Epub 2019 Jan 3.

Authors

Marcelo D T Torres¹, Shanmugapriya Sothiselvam², Timothy K Lu², Cesar de la Fuente-Nunez³

Affiliations

¹ Synthetic Biology Group, MIT Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Biological Engineering, and Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA; The Center for Microbiome Informatics and Therapeutics, Cambridge, MA 02139, USA; Centro de Ciências Naturais e Humanas, Universidade Federal do ABC, Santo André, São Paulo 09210580, Brazil.
² Synthetic Biology Group, MIT Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Biological Engineering, and Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA; The Center for Microbiome Informatics and Therapeutics, Cambridge, MA 02139, USA.
³ Synthetic Biology Group, MIT Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Biological Engineering, and Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA; The Center for Microbiome Informatics and Therapeutics, Cambridge, MA 02139, USA. Electronic address: cfuente@mit.edu.

PMID: 30611750
DOI: 10.1016/j.jmb.2018.12.015

Abstract

The increased incidence of bacterial resistance to available antibiotics represents a major global health problem and highlights the need for novel anti-infective therapies. Antimicrobial peptides (AMPs) represent promising alternatives to conventional antibiotics. AMPs are versatile, have almost unlimited sequence space, and can be tuned for broad-spectrum or specific activity against microorganisms. However, several obstacles remain to be overcome in order to develop AMPs for medical use, such as toxicity, stability, and bacterial resistance. We lack standard experimental procedures for quantifying AMP activity and do not yet have a clear picture of the mechanisms of action of AMPs. The rational design of AMPs can help solve these issues and enable their use as new antimicrobials. Here we provide an overview of the main physicochemical features that can be engineered to achieve enhanced bioactivity and describe current strategies being used to design AMPs.

Keywords: antibiotic resistance; antimicrobial peptides; design principles; peptide design; physicochemical features.

PubMed Disclaimer

Publication types

Actions
Actions
Actions
Actions

MeSH terms

Actions
Actions
Actions
Actions
Actions
Actions
Actions
Actions
Actions
Actions
Actions
Actions
Actions

Substances

Actions
Actions
Actions
Actions

LinkOut - more resources

Full Text Sources
- Elsevier Science
Other Literature Sources
- The Lens - Patent Citations Database

Save citation to file

Email citation

Add to Collections

Add to My Bibliography

Your saved search

Create a file for external citation management software

Your RSS Feed

Peptide Design Principles for Antimicrobial Applications

Affiliations

Peptide Design Principles for Antimicrobial Applications

Authors

Affiliations

Abstract

Publication types

MeSH terms

Substances

LinkOut - more resources

Full Text Sources

Other Literature Sources