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The University of Manchester, Faculty of Biology, Medicine and Health Computational Chemistry PhD Projects, Programs & Scholarships

We have 10 The University of Manchester, Faculty of Biology, Medicine and Health Computational Chemistry PhD Projects, Programs & Scholarships

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  (BBSRC DTP) Tackling the genomic dark matter through system engineering of ncRNAs in yeast
  Prof D Delneri, Prof P Cai
Application Deadline: 31 January 2020

Funding Type

PhD Type

Non-coding RNAs (ncRNAs) are thought as of genomic "dark matter" for which the biological significance has been largely underestimated.
  (MRC DTP) Design and synthesis of new antivirulence drugs for treatment of tuberculosis
  Dr L Tabernero, Dr S Butterworth, Prof D Procter
Application Deadline: 15 November 2019

Funding Type

PhD Type

Tuberculosis (TB) remains a major health problem that affects billions of people worldwide and the emergence of severe anti microbial resistance (AMR) to current antibiotics is now the main challenge to eradicate the disease.
  (MRC DTP) Design of allosteric small molecule inhibitors of fibrosis using advanced molecular simulation techniques
  Dr R A Bryce, Dr K Piper Hanley, Dr R Whitehead
Application Deadline: 15 November 2019

Funding Type

PhD Type

Integrins are a family of protein receptors that play a major role in cell survival, growth and migration. Their function is to transmit signals across the cell membrane by undergoing an elegant large scale structural rearrangement.
  (MRC DTP) Development of antifungal agents that target essential protein kinases in A. fumigatus
  Dr M Bromley, Dr L Tabernero
Application Deadline: 15 November 2019

Funding Type

PhD Type

A. fumigatus is the primary etiological agent of invasive aspergillosis, a disease that primarily affects individuals who are immunocompromised, and causes 200k life threatening infections annually.
  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.
  Exploiting druggability host spots in protein phosphatase targets
  Dr L Tabernero, Prof D Procter, Dr S Butterworth
Applications accepted all year round

Funding Type

PhD Type

In the past years the use of virtual screening or computer-based screening of compound libraries against selected targets has expanded exponentially the boundaries of drug discovery.
  Exploring the influence of proteogenomics in patients receiving biologic drugs for treatment of psoriatic arthritis
  Prof A Barton, Dr James Bluett, Dr N Nair
Applications accepted all year round

Funding Type

PhD Type

Background. Psoriatic arthritis (PsA) is an inflammatory arthritis, associated with the chronic skin condition psoriasis, which causes joint inflammation.
  Exploring the influence of treatment on CD4+ T-cell sub-populations in patients receiving biologic drugs for their inflammatory arthritis
  Prof A Barton, Dr D Plant, Dr S Viatte
Applications accepted all year round

Funding Type

PhD Type

Background. Tumour necrosis factor inhibitor (TNFi) therapy is ineffective for approximately 20% of rheumatoid arthritis (RA) patients and there is currently no way to predict which patients will not benefit.
  Generation of transplant tissue following correction of patient stem cells by genomic engineering
  Dr F Manson, Dr RL Taylor, Dr A Adamson
Applications accepted all year round

Funding Type

PhD Type

A number of retinal degenerations result from mutations in genes expressed in the retinal pigment epithelium (RPE) which lies under the photoreceptors.
  Mathematical modelling of immune cell host-pathogen interactions
  Dr P Paszek, Dr M Muldoon, Prof I Roberts
Applications accepted all year round

Funding Type

PhD Type

Mammals have central cellular defence systems that resist infection by a range of pathogens. These involve the NF-κB and STAT signalling systems, which we have shown to use dynamics and timing to encode pathogen-associated signals.
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