Imperial College London


Faculty of Natural SciencesDepartment of Life Sciences

Lecturer in Bioinformatics and Data Intensive Biology



+44 (0)20 7594 5333alessia.david09




Department of BioinformaticsSir Ernst Chain BuildingSouth Kensington Campus





Dr Alessia David is a Lecturer in Bioinformatics and Data Intensive Biology/Clinical Research Fellow in the Centre for Integrative System Biology and Bioinformatics at Imperial College London and a Honorary Consultant Physician at Imperial College NHS Trust. She graduated with honours in Medicine from the University of Rome La Sapienza and completed her specialist training in Endocrinology and Metabolic Diseases. She holds a PhD in Molecular Endocrinology from the William Harvey Research Institute, Queen Mary University London and an MSc in Bioinformatics and System Biology from Imperial College London. In 2013, she was awarded an MRC fellowship in Biomedical Informatics. After completing her fellowship, she continued her research work as a Clinical Research Fellow at Imperial College London. Over the last 10 years, she has been engaged in identifying the genetic and molecular mechanisms contributing to human diseases by using a range of mathematical and bioinformatics approaches and has published extensively on a wide range of genetic conditions. She has received funding from the MRC, Wellcome Trust and Imperial Health Charity.

Dr Alessia David and Prof Michael Sternberg co-developed the following resources for variant prediction:

Missense3D - an algorithm to predict the structural changes introduced by an amino acid substitution. It is applicable for the analysis of both experimental and predicted 3D protein structures.

Missense3D-DB - a database of precomputed structural predictions for 4 million human missense variants

PhyreRisk - a dynamic web application developed to enable the exploration and mapping of genetic variants onto experimental and predicted structures of proteins and protein complexes

Selected Publications

Journal Articles

David A, Parkinson N, Peacock TP, et al., 2022, A common TMPRSS2 variant has a protective effect against severe COVID-19, Current Research in Translational Medicine, Vol:70, ISSN:2452-3186

David A, Islam S, Tankhilevich E, et al., 2021, The AlphaFold database of protein structures: a biologist’s guide, Journal of Molecular Biology, Vol:434, ISSN:0022-2836, Pages:167336-167336

David A, Khanna T, Hanna G, et al., 2021, Missense3D-DB web catalogue: an atom-based analysis and repository of 4M human protein-coding genetic variants, Human Genetics, Vol:140, ISSN:0340-6717, Pages:805-812

Zhang Q, Bastard P, Liu Z, et al., 2020, Inborn errors of type I IFN immunity in patients with life-threatening COVID-19, Science, Vol:370, ISSN:0036-8075, Pages:1-16

More Publications