SEMA 2.0: web-platform for B-cell conformational epitopes prediction using artificial intelligence.

Autor:	Ivanisenko NV; Bioinformatics Group, AIRI, Moscow, Russia.; Laboratory of Computational Proteomics, Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia., Shashkova TI; Bioinformatics Group, AIRI, Moscow, Russia., Shevtsov A; Bioinformatics Group, AIRI, Moscow, Russia.; Regulatory Transcriptomics and Epigenomics Group, Research Center of Biotechnology RAS, Moscow, Russia., Sindeeva M; Bioinformatics Group, AIRI, Moscow, Russia., Umerenkov D; Bioinformatics Group, AIRI, Moscow, Russia., Kardymon O; Bioinformatics Group, AIRI, Moscow, Russia.
Jazyk:	angličtina
Zdroj:	Nucleic acids research [Nucleic Acids Res] 2024 Jul 05; Vol. 52 (W1), pp. W533-W539.
DOI:	10.1093/nar/gkae386
Abstrakt:	Prediction of conformational B-cell epitopes is a crucial task in vaccine design and development. In this work, we have developed SEMA 2.0, a user-friendly web platform that enables the research community to tackle the B-cell epitopes prediction problem using state-of-the-art protein language models. SEMA 2.0 offers comprehensive research tools for sequence- and structure-based conformational B-cell epitopes prediction, accurate identification of N-glycosylation sites, and a distinctive module for comparing the structures of antigen B-cell epitopes enhancing our ability to analyze and understand its immunogenic properties. SEMA 2.0 website https://sema.airi.net is free and open to all users and there is no login requirement. Source code is available at https://github.com/AIRI-Institute/SEMAi. (© The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research.)
Databáze:	MEDLINE
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