Large-scale Mapping of Bioactive Peptides in Structural and Sequence Space

Overview

Journal PLoS One

Specialties General Medicine
Science

Date 2018 Jan 20

PMID 29351315

Citations 6

Authors

Agustina E Nardo

M Cristina Anon

Gustavo Parisi

Affiliations

Soon will be listed here.

Abstract

Health-enhancing potential bioactive peptide (BP) has driven an interest in food proteins as well as in the development of predictive methods. Research in this area has been especially active to use them as components in functional foods. Apparently, BPs do not have a given biological function in the containing proteins and they do not evolve under independent evolutionary constraints. In this work we performed a large-scale mapping of BPs in sequence and structural space. Using well curated BP deposited in BIOPEP database, we searched for exact matches in non-redundant sequences databases. Proteins containing BPs, were used in fold-recognition methods to predict the corresponding folds and BPs occurrences were mapped. We found that fold distribution of BP occurrences possibly reflects sequence relative abundance in databases. However, we also found that proteins with 5 or more than 5 BP in their sequences correspond to well populated protein folds, called superfolds. Also, we found that in well populated superfamilies, BPs tend to adopt similar locations in the protein fold, suggesting the existence of hotspots. We think that our results could contribute to the development of new bioinformatics pipeline to improve BP detection.

Citing Articles

Exploring the Potential of Bioactive Peptides: From Natural Sources to Therapeutics.

Purohit K, Reddy N, Sunna A Int J Mol Sci. 2024; 25(3).

PMID: 38338676 PMC: 10855437. DOI: 10.3390/ijms25031391.

Bioactive compounds for human and planetary health.

Kussmann M, Abe Cunha D, Berciano S Front Nutr. 2023; 10:1193848.

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An In Silico Framework to Mine Bioactive Peptides from Annotated Proteomes: A Case Study on Pancreatic Alpha Amylase Inhibitory Peptides from Algae and Cyanobacteria.

Pedroni L, Perugino F, Galaverna G, DallAsta C, Dellafiora L Nutrients. 2022; 14(21).

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Quantitative In Silico Evaluation of Allergenic Proteins from , , and and Their Epitopes as Precursors of Bioactive Peptides.

Minkiewicz P, Mattison C, Darewicz M Curr Issues Mol Biol. 2022; 44(7):3100-3117.

PMID: 35877438 PMC: 9317212. DOI: 10.3390/cimb44070214.

Synthetic Biology and Computer-Based Frameworks for Antimicrobial Peptide Discovery.

Torres M, Cao J, Franco O, Lu T, de la Fuente-Nunez C ACS Nano. 2021; 15(2):2143-2164.

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