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US - Phylogenetic approaches to network analysis.

Lead Research Organisation: Imperial College London
Department Name: Life Sciences

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Publications

10 25 50
 
Description This funding has supported the development of advanced methods for the study of the evolution of cellular systems, in particular how interactions between proteins can be related to each other via the duplication and subsequent divergence of genes.
Exploitation Route Our methods will be of use in the field of evolutionary systems biology and for extrapolating results obtained from model organisms to other species.
Sectors Manufacturing

including Industrial Biotechology

Pharmaceuticals and Medical Biotechnology

 
Description No economic or social impact as yet.
 
Description Signaling pathway collaboration 
Organisation Carnegie Mellon University
Country United States 
Sector Academic/University 
PI Contribution Bioinformatics methods for investigating evolution of protein-protein interactions.
Collaborator Contribution Algorithms for analysing complex evolutionary histories on trees (Carnegie Mellon) and experimental genetics study of protein-protein interactions (MIT).
Impact Successful application to HFSP for programme grant to study evolution of two-component signaling systems in bacteria. Initial phylogenetic studies on Spo signaling pathway nearing completion.
Start Year 2013
 
Description Signaling pathway collaboration 
Organisation Massachusetts Institute of Technology
Country United States 
Sector Academic/University 
PI Contribution Bioinformatics methods for investigating evolution of protein-protein interactions.
Collaborator Contribution Algorithms for analysing complex evolutionary histories on trees (Carnegie Mellon) and experimental genetics study of protein-protein interactions (MIT).
Impact Successful application to HFSP for programme grant to study evolution of two-component signaling systems in bacteria. Initial phylogenetic studies on Spo signaling pathway nearing completion.
Start Year 2013