Rapid protein stability prediction using deep learning representations.

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Bibliographic Details
Title:	Rapid protein stability prediction using deep learning representations.
Authors:	Blaabjerg LM; Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen, Copenhagen, Denmark., Kassem MM; Center for Basic Machine Learning Research in Life Science, Department of Computer Science, University of Copenhagen, Copenhagen, Denmark., Good LL; Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen, Copenhagen, Denmark., Jonsson N; Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen, Copenhagen, Denmark., Cagiada M; Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen, Copenhagen, Denmark., Johansson KE; Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen, Copenhagen, Denmark., Boomsma W; Center for Basic Machine Learning Research in Life Science, Department of Computer Science, University of Copenhagen, Copenhagen, Denmark., Stein A; Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen, Copenhagen, Denmark., Lindorff-Larsen K; Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
Source:	ELife [Elife] 2023 May 15; Vol. 12. Date of Electronic Publication: 2023 May 15.
Publication Type:	Journal Article; Research Support, Non-U.S. Gov't
Journal Info:	Publisher: eLife Sciences Publications, Ltd Country of Publication: England NLM ID: 101579614 Publication Model: Electronic Cited Medium: Internet ISSN: 2050-084X (Electronic) Linking ISSN: 2050084X NLM ISO Abbreviation: Elife Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	2050-084X
DOI:	10.7554/eLife.82593