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Toby J. Gibson

Researcher at European Bioinformatics Institute

Publications -  176
Citations -  177834

Toby J. Gibson is an academic researcher from European Bioinformatics Institute. The author has contributed to research in topics: Short linear motif & Eukaryotic Linear Motif resource. The author has an hindex of 78, co-authored 171 publications receiving 167371 citations. Previous affiliations of Toby J. Gibson include University of Rome Tor Vergata & University College Dublin.

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Journal ArticleDOI

A structure filter for the Eukaryotic Linear Motif Resource

TL;DR: The ELM structure filter will aid users assessing candidate motifs presenting in globular structural regions and help users decide whether to expend their valuable time and resources on experimental testing of interesting motif candidates.
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Short linear motif candidates in the cell entry system used by SARS-CoV-2 and their potential therapeutic implications.

TL;DR: In this article, the authors examined the sequences of ACE2 and integrins with the Eukaryotic Linear Motif (ELM) resource and identified candidate short linear motifs (SLiMs) in their short, unstructured, cytosolic tails with potential roles in endocytosis, membrane dynamics, autophagy, and cell signaling.
ComponentDOI

Malectin: A Novel Carbohydrate-binding Protein of the Endoplasmic Reticulum and a Candidate Player in the Early Steps of Protein N-Glycosylation

TL;DR: In this paper, a novel membrane-anchored endoplasmic reticulum (ER) protein named malectin was reported, which is highly conserved in animals and that recognizes the Glc(2)-N-glycan.
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A tree-based conservation scoring method for short linear motifs in multiple alignments of protein sequences

TL;DR: The conservation score improves the prediction of linear motifs, by discarding those matches that are unlikely to be functional because they have not been conserved during the evolution of the protein sequences.
Posted ContentDOI

CiliaCarta: an integrated and validated compendium of ciliary genes

TL;DR: The cilium is an essential organelle at the surface of most mammalian cells whose dysfunction causes a wide range of genetic diseases collectively called ciliopathies, and genomic, proteomic, transcriptomic and evolutionary data are analyzed and systematically integrated into a predictive score for ciliary function.