Improved prediction of conopeptide superfamilies with ConoDictor 2.0

ABSTRACT: Abstract

Motivation

Cone snails are among the richest sources of natural peptides with promising pharmacological and therapeutic applications. With the reduced costs of RNAseq, scientists now heavily rely on venom gland transcriptomes for the mining of novel bioactive conopeptides, but the bioinformatic analyses often hamper the discovery process.

Results

Here, we present ConoDictor 2.0 as a standalone and user-friendly command-line program. We have updated the program originally published as a web server 10 years ago using novel and updated tools and algorithms and improved our classification models with new and higher quality sequences. ConoDictor 2.0 is now more accurate, faster, multiplatform and able to deal with a whole cone snail venom gland transcriptome (raw read

SUBMITTER: Koua D 

PROVIDER: S-EPMC9710579 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature