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Integrating AlphaFold2 models and clinical data to improve the assessment of Short Linear Motifs (SLiMs) and their variants' pathogenicity.

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Title: Integrating AlphaFold2 models and clinical data to improve the assessment of Short Linear Motifs (SLiMs) and their variants' pathogenicity.
Authors: Brunello, Franco Gino1 (AUTHOR) fgbrunello@gmail.com, Erra, Lorenzo1 (AUTHOR), Nicola, Juan2 (AUTHOR), Martí, Marcelo Adrián1 (AUTHOR) marti.marcelo@gmail.com
Source: PLoS Computational Biology. 8/4/2025, Vol. 21 Issue 8, p1-19. 19p.
Database: Academic Search Ultimate
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  Data: Integrating AlphaFold2 models and clinical data to improve the assessment of Short Linear Motifs (SLiMs) and their variants' pathogenicity.
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  Data: <searchLink fieldCode="AR" term="%22Brunello%2C+Franco+Gino%22">Brunello, Franco Gino</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> fgbrunello@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Erra%2C+Lorenzo%22">Erra, Lorenzo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nicola%2C+Juan%22">Nicola, Juan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Martí%2C+Marcelo+Adrián%22">Martí, Marcelo Adrián</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> marti.marcelo@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 8/4/2025, Vol. 21 Issue 8, p1-19. 19p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=187126391
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        Value: 10.1371/journal.pcbi.1012829
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