Cargando…

Computational Studies of Snake Venom Toxins

Most snake venom toxins are proteins, and participate to envenomation through a diverse array of bioactivities, such as bleeding, inflammation, and pain, cytotoxic, cardiotoxic or neurotoxic effects. The venom of a single snake species contains hundreds of toxins, and the venoms of the 725 species o...

Descripción completa

Detalles Bibliográficos
Autores principales: Ojeda, Paola G., Ramírez, David, Alzate-Morales, Jans, Caballero, Julio, Kaas, Quentin, González, Wendy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5793095/
https://www.ncbi.nlm.nih.gov/pubmed/29271884
http://dx.doi.org/10.3390/toxins10010008
_version_ 1783296876320129024
author Ojeda, Paola G.
Ramírez, David
Alzate-Morales, Jans
Caballero, Julio
Kaas, Quentin
González, Wendy
author_facet Ojeda, Paola G.
Ramírez, David
Alzate-Morales, Jans
Caballero, Julio
Kaas, Quentin
González, Wendy
author_sort Ojeda, Paola G.
collection PubMed
description Most snake venom toxins are proteins, and participate to envenomation through a diverse array of bioactivities, such as bleeding, inflammation, and pain, cytotoxic, cardiotoxic or neurotoxic effects. The venom of a single snake species contains hundreds of toxins, and the venoms of the 725 species of venomous snakes represent a large pool of potentially bioactive proteins. Despite considerable discovery efforts, most of the snake venom toxins are still uncharacterized. Modern bioinformatics tools have been recently developed to mine snake venoms, helping focus experimental research on the most potentially interesting toxins. Some computational techniques predict toxin molecular targets, and the binding mode to these targets. This review gives an overview of current knowledge on the ~2200 sequences, and more than 400 three-dimensional structures of snake toxins deposited in public repositories, as well as of molecular modeling studies of the interaction between these toxins and their molecular targets. We also describe how modern bioinformatics have been used to study the snake venom protein phospholipase A2, the small basic myotoxin Crotamine, and the three-finger peptide Mambalgin.
format Online
Article
Text
id pubmed-5793095
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-57930952018-02-06 Computational Studies of Snake Venom Toxins Ojeda, Paola G. Ramírez, David Alzate-Morales, Jans Caballero, Julio Kaas, Quentin González, Wendy Toxins (Basel) Review Most snake venom toxins are proteins, and participate to envenomation through a diverse array of bioactivities, such as bleeding, inflammation, and pain, cytotoxic, cardiotoxic or neurotoxic effects. The venom of a single snake species contains hundreds of toxins, and the venoms of the 725 species of venomous snakes represent a large pool of potentially bioactive proteins. Despite considerable discovery efforts, most of the snake venom toxins are still uncharacterized. Modern bioinformatics tools have been recently developed to mine snake venoms, helping focus experimental research on the most potentially interesting toxins. Some computational techniques predict toxin molecular targets, and the binding mode to these targets. This review gives an overview of current knowledge on the ~2200 sequences, and more than 400 three-dimensional structures of snake toxins deposited in public repositories, as well as of molecular modeling studies of the interaction between these toxins and their molecular targets. We also describe how modern bioinformatics have been used to study the snake venom protein phospholipase A2, the small basic myotoxin Crotamine, and the three-finger peptide Mambalgin. MDPI 2017-12-22 /pmc/articles/PMC5793095/ /pubmed/29271884 http://dx.doi.org/10.3390/toxins10010008 Text en © 2017 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Ojeda, Paola G.
Ramírez, David
Alzate-Morales, Jans
Caballero, Julio
Kaas, Quentin
González, Wendy
Computational Studies of Snake Venom Toxins
title Computational Studies of Snake Venom Toxins
title_full Computational Studies of Snake Venom Toxins
title_fullStr Computational Studies of Snake Venom Toxins
title_full_unstemmed Computational Studies of Snake Venom Toxins
title_short Computational Studies of Snake Venom Toxins
title_sort computational studies of snake venom toxins
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5793095/
https://www.ncbi.nlm.nih.gov/pubmed/29271884
http://dx.doi.org/10.3390/toxins10010008
work_keys_str_mv AT ojedapaolag computationalstudiesofsnakevenomtoxins
AT ramirezdavid computationalstudiesofsnakevenomtoxins
AT alzatemoralesjans computationalstudiesofsnakevenomtoxins
AT caballerojulio computationalstudiesofsnakevenomtoxins
AT kaasquentin computationalstudiesofsnakevenomtoxins
AT gonzalezwendy computationalstudiesofsnakevenomtoxins