Journal of Molecular Biology
Volume 431, Issue 18, 23 August 2019, Pages 3547-3567
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Review
Peptide Design Principles for Antimicrobial Applications

https://doi.org/10.1016/j.jmb.2018.12.015Get rights and content

Highlights

  • Urgency for new antimicrobial agents to treat antibiotic-resistant microorganism-caused infections

  • Efficient design tools are needed for rational design of promising antibiotic candidates.

  • Physicochemical features are the basis for the most relevant activity descriptors of antimicrobial peptides.

  • Structure–activity relationships studies enable a wide range of commercial applications for antimicrobial peptides.

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.

Section snippets

Antimicrobial Peptides

The current increase in multidrug-resistant bacteria is an alarming global health problem. In fact, antibiotic-resistant infections [1], [2] are expected to cause 10 million deaths annually by the year 2050 if no new antimicrobial approaches are implemented [3]. Antimicrobial peptides (AMPs), produced by virtually all organisms on Earth, offer an alternative to conventional antibiotics.

AMPs are part of the host's defense system. These agents are key components of the innate immune system of a

Strategies for Determining Structure–Activity Relationships

AMP structure–activity relationship (SAR) studies can be used to address ways to systematically modify naturally occurring molecules or de novo designed synthetic peptides and to determine both their structure and their biological activities. The overall aim is to maximize antimicrobial activity and resistance to proteolytic degradation while minimizing toxicity toward the host. The most well-known methodologies that have been used to design new AMPs and guide SAR studies are site-directed

Important Features for Peptide Design

The physicochemical properties of complex molecules are generally addressed by descriptors, which are computational vectors that provide information about physicochemical parameters of amino acids in a given peptide chain. As peptides are large and as they present secondary, and sometimes tertiary structures, they are considered complex molecules. Slight modifications in the amino acid composition can change the whole geometrical disposition and physicochemical properties of a peptide. Basic

Target and Application Design

The design of new synthetic AMPs, apart from increasing antimicrobial activity, aims to reconfigure peptides to achieve increased selectivity, resistance to degradation, and decreased hemolytic activity or cytotoxicity toward healthy cells. The frontiers and challenges for designing and eventually applying AMPs as novel therapies include obtaining precise control over such functions. Specificity is another major property that is increasingly being considered, as next-generation antimicrobials

Future Perspective

All the methods described above are useful depending on the kind of study and aims proposed. Mutagenesis and other traditional methods are still being used for their simplicity and effective results obtained, but as computational power has increased, in silico methods have provided the most commonly applied and precise techniques for bioactive peptide design. Additional computational tools such as neural networks, genetic algorithms, and machine learning are being developed, which leverage

Conclusions

Peptides are promising compounds not only for antimicrobial therapeutics but as immunomodulatory agents [190] and anticancer drugs [191]. The versatility and tenability of this class of molecules can be exploited to combat antibiotic resistance. In order to achieve high-quality design of peptides, the appropriate method should line up with the problem being addressed and the available options. Subsequently, important AMP features must be considered and included in the rationale. These compounds

Acknowledgments

Some of the figures shown here were prepared using the Motifolio drawing toolkit.

Cesar de la Fuente-Nunez acknowledges support by the Ramon Areces Foundation. Marcelo Der Torossian Torres was supported by Fundação de Amparo à Pesquisa do Estado de São Paulo (Brazil) (2014/04507-5 and 2016/24413-0), DTRA HDTRA (1-15-1-0050). Timothy K. Lu is supported by the National Institutes of Health, National Science Foundation, Defense Threat Reduction Agency, Defense Advanced Research Projects Agency,

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