Apologies - a power failure damaged the RAID controller on the server which hosts our main database.
We believe everything is up and running again, but please let us know if there are any problems!


Current members


Group photo

March 2015 - Left-to-right: Nouf, Grace, Daniel, Tom, Francesco, Andrew, Avneet, Saba

Group photo

December 2007 - Left-to-right: Abhi, Craig, Lisa, Jake, Andrew, Sri

Post docs

Nouf Alnumair is continuing work on a phenotype predictor for functional evaluation of beta-myosin heavy chain missense variants and distinguishing between HCM and DCM associated mutations. She is also extending work of an undergraduate project student to look at the use of protein models rather than structures in the analysis of the effects of mutations.


Craig Porter is working on a small grant from the BBSRC Sparking Impact Fund to enhance our Bioplib library and make it available for public use.

Annabel Cook is doing various analysis on the abYsis project.

Ian Carruthers is working on abYsis and abYmod.

PhD students

Narayan Jayaram is a UCL IMPACT student working on looking at the effects of mutations at the DNA level (i.e. effects on splice sites and transcription factor binding sites) and integrating this into SAAPdb. (2011-2014)

Tom Northey is a BBSRC CASE student sponsored by UCB, working on antibody stability and prediction of B-cell epitopes - particularly those that may occur on antibodies. (2012-2016)

Francesco Carbone is a UCL IMPACT studend sponsored by the Foundation for Innovative New Diagnostics working on mutations in G6PD. (2012-2015)

Saba Ferdous is a UCL-ORS student working on the nature of antibody-antigen interactions with a view to developing peptide vaccines. (2013-2016)

Grace Jeremy is a Wellcome Trust rotation student working on regulation of moonlighting proteins (2015).

Undergraduate project students

Daniel James is comparing the performance of Shirai's H3 rules for CDR-H3 conformation prediction with a simple sequence-identity approach.

Jonathan Ekwonna is doing a literature survey on methods for antigenicity prediction.