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Searching for novel protein-protein specificities using a combined approach of sequence co-evolution and local structural equilibration
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Biology Education Centre.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Greater understanding of how we can use protein simulations and statistical characteristics of biomolecular interfaces as proxies for biological function will make manifest major advances in protein engineering. Here we show how to use calculated change in binding affinity and coevolutionary scores to predict the functional effect of mutations in the interface between a Histidine Kinase and a Response Regulator. These proteins participate in the Two-Component Regulatory system, a system for intracellular signalling found in bacteria. We find that both scores work as proxies for functional mutants and demonstrate a ~30 fold improvement in initial positive predictive value compared with choosing randomly from a sequence space of 160 000 variants in the top 20 mutants. We also demonstrate qualitative differences in the predictions of the two scores, primarily a tendency for the coevolutionary score to miss out on one class of functional mutants with enriched frequency of the amino acid threonine in one position. 

Place, publisher, year, edition, pages
2016.
Series
UPTEC X, 15 039
Keyword [en]
Biotechnology, Bioinformatics, Molecular Structure, Protein Conformation, Computing Methodologies, Protein-protein interaction, Binding affinity, Mutation analysis, Amino acid mutation, in-silico binding affinity prediction, Two-component regulatory system, Histidine Kinase, Response Regulator, Prediction, PhoQ, PhoP, Phosphatase
National Category
Bioinformatics and Systems Biology Structural Biology Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:uu:diva-275040OAI: oai:DiVA.org:uu-275040DiVA: diva2:898531
External cooperation
Faruck Morcos, University of Texas at Dallas
Educational program
Molecular Biotechnology Engineering Programme
Supervisors
Examiners
Available from: 2016-01-28 Created: 2016-01-28 Last updated: 2016-01-28Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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Language
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Output format
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