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MotSASi: Functional Short Linear Motifs (SLiMs) prediction based on genomic single nucleotide variants and structural data

2021-08-05

Abstract excerpt

Short linear motifs (SLiMs) are key to cell physiology mediating reversible protein-protein interactions. Precise identification of SLiMs remains a challenge, being the main drawback of most bioinformatic prediction tools their low specificity (high number of false positives). An important, usually overlooked, aspect is the relation between SLiMs mutations and disease. The presence of variants in each residue posi...

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Literature Corpus work
827ba47a-153a-59d2-8fc2-6210f4bf6715
DOI
10.1101/2021.08.05.455287
Open publication

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MotSASi: Functional Short Linear Motifs (SLiMs) prediction based on genomic single nucleotide variants and structural dataDOI 10.1101/2021.08.05.455287
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