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molecular interactions PhD Projects, Programs & Scholarships

We have 182 molecular interactions PhD Projects, Programs & Scholarships

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  Molecular interactions in solution for multi-component crystallisation
  Dr K Edkins, Dr J Holbrey
Applications accepted all year round

Funding Type

PhD Type

Crystallisation is probably one of the most important unit operations in pharmaceutical industry for purification, as well as the generation of materials appropriate for formulation and application to the patient.
  "Hands-on" molecules: using microwave metamaterials as analogues of molecular systems
  Prof W Barnes
Application Deadline: 31 December 2019

Funding Type

PhD Type

Joint supervisors. Prof Bill Barnes, Dr Ian Hooper. External partner. Prof Frank Spano (Temple Univeristy, USA). ***. Statement of Research.
  Multi-scale network reconstruction and modelling of phage – bacteria interactions
  Dr J-M Schwartz, Prof S Lovell
Applications accepted all year round

Funding Type

PhD Type

Bacteriophages are viruses that infect bacteria. They are seen as a promising alternative to antibiotics, particularly as multi-resistant bacterial strains are becoming more widespread and could one day render existing antibiotic therapies ineffective.
  The mechanism of regulation of protein synthesis via eIF2 molecular complexes
  Dr A Roseman, Prof G D Pavitt
Applications accepted all year round

Funding Type

PhD Type

Control of protein synthesis is critical for normal metabolism, development and responses to stress. One major pathway is called the integrated stress response (ISR) and centres on translational control of the general protein synthesis factor eIF2B via the phosphorylation of eIF2 [1,2].
  Transcriptional battles in plant-pathogen interactions: understanding and re-wiring gene regulatory networks to enhance disease resistance
  Prof K Denby, Prof I A Graham
Application Deadline: 30 June 2020

Funding Type

PhD Type

The severity of plant disease is determined by a battle between pathogen virulence and host plant immunity – understanding this relationship is key to developing sustainable methods of pathogen control.
  Transcriptional battles in plant-pathogen interactions: understanding and re-wiring gene regulatory networks to enhance disease resistance
  Prof K Denby, Prof I A Graham
Application Deadline: 5 January 2020

Funding Type

PhD Type

The severity of plant disease is determined by a battle between pathogen virulence. and host plant immunity – understanding this relationship is key to developing.
  Bacterial chemical harpoons – how do TIE proteins function?
  Research Group: Biomedical Sciences Research Centre
  Dr U Schwarz-Linek
Application Deadline: 1 December 2019

Funding Type

PhD Type

In order to colonise a host and cause infections, bacteria need to gain a foothold by adhering to tissues such as cell surfaces. In general this is achieved through specific interactions between proteins and multimeric protein assemblies (pili) presented on the bacterial surface, and host molecules.
  Neuromuscular junction development and disease
  Dr C Lee
Applications accepted all year round

Funding Type

PhD Type

Synapses are specialized cell membrane domains that facilitate neuronal communication in the intricate nervous system. These synaptic specializations develop in response to molecular interactions between pre- and postsynaptic cells.
  Assessing the Behaviour of Endotoxin in Biopharmaceutical Formulations: towards creating improved medicines
  Dr A Golovanov
Application Deadline: 15 November 2019

Funding Type

PhD Type

Supervisors. Dr Alexander Golovanov (The University of Manchester) and Dr Adrian Podmore (AstraZeneca). Biopharmaceuticals are the fastest-growing type of treatments for wide range of diseases, with enormous potential for personalised medicine.
  Computer-aided molecular design: improved ligand docking using electronic structure and molecular dynamics simulations
  Dr R A Bryce, Dr N Burton
Applications accepted all year round

Funding Type

PhD Type

In structure-based drug design, computational modelling techniques are frequently used to predict the orientation and affinity with which a ligand binds to its protein receptor.
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