Limitations and challenges in protein stability prediction upon genome variations: towards future applications in precision medicine

[Display omitted] Protein stability predictions are becoming essential in medicine to develop novel immunotherapeutic agents and for drug discovery. Despite the large number of computational approaches for predicting the protein stability upon mutation, there are still critical unsolved problems: 1)...

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Vydané v:	Computational and structural biotechnology journal Ročník 18; s. 1968 - 1979
Hlavní autori:	Sanavia, Tiziana, Birolo, Giovanni, Montanucci, Ludovica, Turina, Paola, Capriotti, Emidio, Fariselli, Piero
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.01.2020 Research Network of Computational and Structural Biotechnology Elsevier
Predmet:	biotechnology Computational tools and databases data collection drugs genome immunotherapy Machine learning medicine mutants mutation Mutations Non-synonymous single nucleotide variants Performance bias precision medicine prediction Protein function Protein stability Review sequence homology thermodynamics Mutations Computational tools and databases Protein function Non-synonymous single nucleotide variants Machine learning Protein stability Performance bias
ISSN:	2001-0370, 2001-0370
On-line prístup:	Získať plný text
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