THPLM: a sequence-based deep learning framework for protein stability changes prediction upon point variations using pretrained protein language model

MOTIVATION: Quantitative determination of protein thermodynamic stability is a critical step in protein and drug design. Reliable prediction of protein stability changes caused by point variations contributes to developing-related fields. Over the past decades, dozens of structure-based and sequence...

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Detalles Bibliográficos
Autores principales: Gong, Jianting, Jiang, Lili, Chen, Yongbing, Zhang, Yixiang, Li, Xue, Ma, Zhiqiang, Fu, Zhiguo, He, Fei, Sun, Pingping, Ren, Zilin, Tian, Mingyao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627365/
https://www.ncbi.nlm.nih.gov/pubmed/37874953
http://dx.doi.org/10.1093/bioinformatics/btad646

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627365/
https://www.ncbi.nlm.nih.gov/pubmed/37874953
http://dx.doi.org/10.1093/bioinformatics/btad646

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