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Structural Biology (surface engineering) PhD Projects, Programs & Scholarships

We have 5 Structural Biology (surface engineering) PhD Projects, Programs & Scholarships

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  Engineering functional partial joint replacement: a soft solution to a hard problem
  Dr M Bryant
Application Deadline: 3 January 2020

Funding Type

PhD Type

Arthritis is a common problem and typically treatment includes replacing the articular surfaces with hard metal on both sides of the joint with intervening plastic or ceramic.
  Rational engineering of NMDAR subunit-specific peptide affinity reagents and their pharmacological and functional characterisation as novel subtype specific NMDAR ligands.
  Dr M Soloviev
Applications accepted all year round

Funding Type

PhD Type

The aim of this project is to engineer subunit-specific anti-GluN1/2/A/B polypeptide affinity reagents and to characterise their pharmacological specificity and functional activity on the recombinant NMDARs expressed in heterologous expression systems and on native NMDARs in hippocampal slice preparations.
  EastBio Understanding the Structural Basis of Encapsulin Assembly for Efficient Engineering of Encapsulated Enzymes
  Dr D Clarke
Application Deadline: 5 January 2020

Funding Type

PhD Type

Co-Supervisors. Dr Stephen Wallace, School of Biological Sciences, University of Edinburgh. Dr. Louise Horsfall, School of Biological Sciences, University of Edinburgh.
  (BBSRC DTP) A step change in the modelling of enzymatic catalysis
  Prof P Popelier, Dr L Johannissen, Dr S Hay
Application Deadline: 31 January 2020

Funding Type

PhD Type

A deep understanding of enzymatic processes requires an atomic-level description, which is often beyond the reach of experimental techniques but can be achieved through synergy with computational chemistry.
  A step change in the modelling of enzymatic catalysis
  Prof P Popelier, Dr L Johannissen
Applications accepted all year round

Funding Type

PhD Type

A deep understanding of enzymatic processes requires an atomic-level description, which is often beyond experimental techniques but achievable through synergy with computational chemistry.
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