Evidence map›Paper›PMID 29271884›Full record

ReviewToxins2017

Computational Studies of Snake Venom Toxins.

Paola G Ojeda, David Ramírez, Jans Alzate-Morales, Julio Caballero, Quentin Kaas, Wendy González

Open access · goldAbstract readReview
In one paragraph

Review in Toxins, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 66 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Paola G OjedaCenter for Bioinformatics and Molecular Simulations (CBSM), Universidad de Talca, 3460000 Talca, Chile. paola.ojeda@uautonoma.cl.
David RamírezCenter for Bioinformatics and Molecular Simulations (CBSM), Universidad de Talca, 3460000 Talca, Chile. david.ramirez@uautonoma.cl.ORCID 0000-0003-0002-1189
Jans Alzate-MoralesCenter for Bioinformatics and Molecular Simulations (CBSM), Universidad de Talca, 3460000 Talca, Chile. jalzate@utalca.cl.ORCID 0000-0001-9624-7849
Julio CaballeroCenter for Bioinformatics and Molecular Simulations (CBSM), Universidad de Talca, 3460000 Talca, Chile. jcaballero@utalca.cl.
Quentin KaasInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland 4072, Australia. q.kaas@imb.uq.edu.au.
Wendy GonzálezCenter for Bioinformatics and Molecular Simulations (CBSM), Universidad de Talca, 3460000 Talca, Chile. wgonzalez@utalca.cl.
University of Talca · CLThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Snake VenomsAnimalsComputational BiologyHumansSnake Venomsdatabasesmolecular dynamics simulationsmolecular modelingproteomicssnake peptides

Identifiers

PMID29271884
PMCPMC5793095
OpenAlexW2777855417

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.