Franco Gino Brunello on Muck Rack

Franco Gino Brunello

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Articles

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

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By Franco Gino Brunello, Lorenzo Erra, Juan P Nicola, Marcelo Adrián Martí
| PLOS
Loading metrics Open Access Peer-reviewed Research Article ? This is an uncorrected proof. Citation: Brunello FG, Erra L, Nicola J, Martí MA (2025) Integrating AlphaFold2 models and clinical data to improve the assessment of Short Linear Motifs (SLiMs) and their variants’ pathogenicity. PLoS Comput Biol 21(8): e1012829.
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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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By Juan P Nicola, Marcelo Adrián Martí, Franco Gino Brunello, Lorenzo Erra
| biorxiv.org
Abstract Short Linear Motifs (SLiMs) are protein functionally relevant regions that mediate reversible protein-protein interactions. Variants that disrupt SLiMs can lead to numerous Mendelian diseases. Although various bioinformatic tools have been developed to identify SLiMs, most suffer from low specificity.
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