CysPresso: a classification model utilizing deep learning protein representations to predict recombinant expression of cysteine-dense peptides

CysPresso: a classification model utilizing deep learning protein representations to predict recombinant expression of cysteine-dense peptides

Abstract Background Cysteine-dense peptides (CDPs) are an attractive pharmaceutical scaffold that display extreme biochemical properties, low immunogenicity, and the ability to bind targets with high affinity and selectivity. While many CDPs have potential and confirmed therapeutic uses, synthesis o...

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Bibliographic Details
Main Authors: Sébastien Ouellet, Larissa Ferguson, Angus Z. Lau, Tony K. Y. Lim
Format: Article
Language:English
Published: BMC 2023-05-01
Series:BMC Bioinformatics
Subjects:
Protein representation
Recombinant expression
Cysteine-dense peptide
Knottin
Deep learning
AlphaFold
Online Access:https://doi.org/10.1186/s12859-023-05327-8

Internet

https://doi.org/10.1186/s12859-023-05327-8

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