MRC Human Genetics Unit
Medical Research Council Human Genetics Unit

Joe Marsh Research Group

Computational Protein Biology

Section: Biomedical Genomics

Dr Joe Marsh - Reader

Research in a Nutshell 

The ultimate manifestation of biological function often involves the assembly of proteins into complexes. Recently, the emergence of new experimental and computational techniques, along with the increasing availability of diverse structural, proteomic and genomic datasets, have created huge potential for investigating protein complex structure and assembly on a large scale.

Our research can be divided into two related streams. First, we are interested in the biology of protein complex assembly. In particular, we seek to understand how assembly occurs within cells, how it is regulated, and how it contributes to normal biological function. We are also interested in the relationship between protein complex assembly and evolution.

Second, we are interested in the role of protein complexes in human disease. In particular, we are investigating how the location of a mutation within a protein complex influences its propensity to be associated with disease. Our early work strongly suggests that incorporating quaternary structural information can substantially improve methods for predicting mutation pathogenicity and prioritising causal variants.

Research Programme: Computational Protein Biology

Joe Marsh Lab


Dr Joe Marsh Group Leader

Dr Marcin Plech


Benjamin Livesey PhD student
Thomas Attard PhD student
Lukas Gerasimavicius PhD student
Mihaly Badonyi PhD student
Lisa Backwell PhD student
Diego Chillón Pino PhD student
Éva Moussong PhD student
Dr Rolando Hernandez Trapero Postdoc



  • Professor David FitzPatrick, MRC HGU
  • Dr Sarah Teichmann, Wellcome Trust Sanger Institute
  • Dr Matthias Selbach, Max-Delbrück-Center for Molecular Medicine
  • Professor Kim Nasmyth, University of Oxford
  • Dr Tobias Warnecke, MRC Clinical Sciences Centre

Partners and Funders

  • Medical Research Council

Scientific Themes

protein complexes, structural bioinformatics, genetic variation, evolution