LazyAF, a pipeline for accessible medium-scale in silico prediction of protein-protein interactions.
Microbiology (Reading)
; 170(7)2024 Jul.
Article
em En
| MEDLINE
| ID: mdl-38967642
ABSTRACT
Artificial intelligence has revolutionized the field of protein structure prediction. However, with more powerful and complex software being developed, it is accessibility and ease of use rather than capability that is quickly becoming a limiting factor to end users. LazyAF is a Google Colaboratory-based pipeline which integrates the existing ColabFold BATCH software to streamline the process of medium-scale protein-protein interaction prediction. LazyAF was used to predict the interactome of the 76 proteins encoded on the broad-host-range multi-drug resistance plasmid RK2, demonstrating the ease and accessibility the pipeline provides.
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Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Software
/
Biologia Computacional
/
Mapeamento de Interação de Proteínas
Idioma:
En
Revista:
Microbiology (Reading)
Ano de publicação:
2024
Tipo de documento:
Article