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Associating Biological Activity and Predicted Structure of Antimicrobial Peptides from Amphibians and Insects
Antimicrobial peptides (AMPs) are a diverse class of short, often cationic biological molecules that present promising opportunities in the development of new therapeutics to combat antimicrobial resistance. Newly developed in silico methods offer the ability to rapidly discover numerous novel AMPs...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9774241/ https://www.ncbi.nlm.nih.gov/pubmed/36551368 http://dx.doi.org/10.3390/antibiotics11121710 |
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author | Richter, Amelia Sutherland, Darcy Ebrahimikondori, Hossein Babcock, Alana Louie, Nathan Li, Chenkai Coombe, Lauren Lin, Diana Warren, René L. Yanai, Anat Kotkoff, Monica Helbing, Caren C. Hof, Fraser Hoang, Linda M. N. Birol, Inanc |
author_facet | Richter, Amelia Sutherland, Darcy Ebrahimikondori, Hossein Babcock, Alana Louie, Nathan Li, Chenkai Coombe, Lauren Lin, Diana Warren, René L. Yanai, Anat Kotkoff, Monica Helbing, Caren C. Hof, Fraser Hoang, Linda M. N. Birol, Inanc |
author_sort | Richter, Amelia |
collection | PubMed |
description | Antimicrobial peptides (AMPs) are a diverse class of short, often cationic biological molecules that present promising opportunities in the development of new therapeutics to combat antimicrobial resistance. Newly developed in silico methods offer the ability to rapidly discover numerous novel AMPs with a variety of physiochemical properties. Herein, using the rAMPage AMP discovery pipeline, we bioinformatically identified 51 AMP candidates from amphibia and insect RNA-seq data and present their in-depth characterization. The studied AMPs demonstrate activity against a panel of bacterial pathogens and have undetected or low toxicity to red blood cells and human cultured cells. Amino acid sequence analysis revealed that 30 of these bioactive peptides belong to either the Brevinin-1, Brevinin-2, Nigrocin-2, or Apidaecin AMP families. Prediction of three-dimensional structures using ColabFold indicated an association between peptides predicted to adopt a helical structure and broad-spectrum antibacterial activity against the Gram-negative and Gram-positive species tested in our panel. These findings highlight the utility of associating the diverse sequences of novel AMPs with their estimated peptide structures in categorizing AMPs and predicting their antimicrobial activity. |
format | Online Article Text |
id | pubmed-9774241 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97742412022-12-23 Associating Biological Activity and Predicted Structure of Antimicrobial Peptides from Amphibians and Insects Richter, Amelia Sutherland, Darcy Ebrahimikondori, Hossein Babcock, Alana Louie, Nathan Li, Chenkai Coombe, Lauren Lin, Diana Warren, René L. Yanai, Anat Kotkoff, Monica Helbing, Caren C. Hof, Fraser Hoang, Linda M. N. Birol, Inanc Antibiotics (Basel) Article Antimicrobial peptides (AMPs) are a diverse class of short, often cationic biological molecules that present promising opportunities in the development of new therapeutics to combat antimicrobial resistance. Newly developed in silico methods offer the ability to rapidly discover numerous novel AMPs with a variety of physiochemical properties. Herein, using the rAMPage AMP discovery pipeline, we bioinformatically identified 51 AMP candidates from amphibia and insect RNA-seq data and present their in-depth characterization. The studied AMPs demonstrate activity against a panel of bacterial pathogens and have undetected or low toxicity to red blood cells and human cultured cells. Amino acid sequence analysis revealed that 30 of these bioactive peptides belong to either the Brevinin-1, Brevinin-2, Nigrocin-2, or Apidaecin AMP families. Prediction of three-dimensional structures using ColabFold indicated an association between peptides predicted to adopt a helical structure and broad-spectrum antibacterial activity against the Gram-negative and Gram-positive species tested in our panel. These findings highlight the utility of associating the diverse sequences of novel AMPs with their estimated peptide structures in categorizing AMPs and predicting their antimicrobial activity. MDPI 2022-11-27 /pmc/articles/PMC9774241/ /pubmed/36551368 http://dx.doi.org/10.3390/antibiotics11121710 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Richter, Amelia Sutherland, Darcy Ebrahimikondori, Hossein Babcock, Alana Louie, Nathan Li, Chenkai Coombe, Lauren Lin, Diana Warren, René L. Yanai, Anat Kotkoff, Monica Helbing, Caren C. Hof, Fraser Hoang, Linda M. N. Birol, Inanc Associating Biological Activity and Predicted Structure of Antimicrobial Peptides from Amphibians and Insects |
title | Associating Biological Activity and Predicted Structure of Antimicrobial Peptides from Amphibians and Insects |
title_full | Associating Biological Activity and Predicted Structure of Antimicrobial Peptides from Amphibians and Insects |
title_fullStr | Associating Biological Activity and Predicted Structure of Antimicrobial Peptides from Amphibians and Insects |
title_full_unstemmed | Associating Biological Activity and Predicted Structure of Antimicrobial Peptides from Amphibians and Insects |
title_short | Associating Biological Activity and Predicted Structure of Antimicrobial Peptides from Amphibians and Insects |
title_sort | associating biological activity and predicted structure of antimicrobial peptides from amphibians and insects |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9774241/ https://www.ncbi.nlm.nih.gov/pubmed/36551368 http://dx.doi.org/10.3390/antibiotics11121710 |
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