Author

Paul Ashford

Institute of Structural and Molecular BiologyORCID 0000-0003-4079-0257Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:differential expression· 2 Assay:protein structure· 2 Organism:mouse· 1 Research Focus:protein structure prediction· 1 Organism:rat· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Christine Anne OrengoiD· 3 shared Camilla PangiD· 2 shared Ian SillitoeiD· 2 shared Mahnaz AbbasianiD· 2 shared Neeladri SeniD· 2 shared Nicola BordiniD· 2 shared Su Datt LamiD· 2 shared Vaishali WamaniD· 2 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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3 shared papersBioinformatics

Christine Anne OrengoORCID

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3 papers

Recent·Most cited

BioinformaticsScientific ReportsPeer-reviewedJun 20, 2024

Predicting human and viral protein variants affecting COVID-19 susceptibility and repurposing therapeutics

Vaishali Waman, Paul Ashford, Su Datt Lam…·Christine Anne Orengo

The paper predicts human and viral protein variants that enhance SARS-CoV-2 binding affinity and may increase COVID-19 susceptibility.

3 citations

humanprotein structure

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BioinformaticsScientific ReportsPeer-reviewedOct 5, 2020

SARS-CoV-2 spike protein predicted to form complexes with host receptor protein orthologues from a broad range of mammals

Su Datt Lam, Nicola Bordin, Vaishali Waman…·Christine Anne Orengo

The paper predicts SARS-CoV-2 spike protein interactions with ACE2 orthologues across 215 vertebrates, finds mutations in ACE2 are more detrimental, and shows human strains are present in animals.

113 citationstop 4%

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BioinformaticsScientific ReportsPeer-reviewedJan 22, 2019

A CATH domain functional family based approach to identify putative cancer driver genes and driver mutations

Paul Ashford, Camilla Pang, Aurelio A. Moya‐García…·Christine Anne Orengo

The paper identifies putative cancer driver genes and mutations using a CATH domain functional family-based approach, finding 151 candidates including previously unlisted genes.

22 citations

humanwhole-exome sequencing

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