Author

Suhail A. Islam

Imperial College LondonORCID 0000-0001-6847-9730Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Assay:protein structure· 3 Research Focus:database / resource· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:variant effect prediction· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Organism:multiple species· 1

Frequent Co-Authors

Alessia DavidiD· 3 shared Gordon Hanna· 2 shared Ifigenia TsitsaiD· 2 shared Michael J.E. SternbergiD· 2 shared Anja ConeviD· 1 shared Cecilia PennicaiD· 1 shared Gemma WalkeriD· 1 shared Haotian ZhaoiD· 1 shared

Activity by Year

2023-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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3 shared papersBioinformatics

Alessia DavidORCID

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3 papers

Recent·Most cited

GeneticsbioRxivPreprintJul 22, 2025

Missense3D-PTMdb an interactive web resource to explore and visualize genetic variants and post-translational modifications sites (PTMs) using AlphaFold 3D models

Haotian Zhao, Ryan Pye, Gemma Walker…·Alessia David

Missense3D-PTMdb maps missense variants and PTM sites to AlphaFold 3D models to explore their structural and functional impacts.

1 citation

humanprotein structure

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BioinformaticsbioRxivPreprintJun 22, 2025

The AlphaFold Database Ages

Ifigenia Tsitsa, Anja Conev, Alessia David…·Michael J.E. Sternberg

The paper highlights discrepancies between AlphaFold predictions and UniProt data, showing how bioinformatics resources can quickly become outdated.

2 citations

humanmultiple species

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BioinformaticsJournal of Molecular BiologyPeer-reviewedMar 24, 2023

A new web resource to predict the impact of missense variants at protein interfaces using 3D structural data: Missense3D-PPI

Cecilia Pennica, Gordon Hanna, Suhail A. Islam…·Alessia David

Missense3D-PPI predicts the impact of missense variants on protein-protein interfaces using structural data, showing improved sensitivity over previous methods.

25 citationstop 4%

protein structurestatistical model

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