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Medicinal Chemistry and Chemical Biology

Medicinal Chemistry is a recognised strength of Newcastle University. We have a track record of successful research, including discovery of drugs that have progressed to clinic.

Our research

Medicinal Chemistry is a recognised and long-standing strength at Newcastle. It has a strong track record of drug discovery. Newcastle discovered the first PARP inhibitors for the treatment of BRCA deficient cancer. This led to the development of rucaparib as a clinically used drug for the treatment of ovarian cancer. We have also progressed 2 other inhibitors to clinical trials. This represents an unrivalled level of success for an academic drug discovery group of this size.

Our research centres on the following themes:

  • cancer drug discovery
  • infectious disease drug discovery
  • new approaches to drug discovery
  • radiochemistry and imaging
  • computational drug chemistry

We focus on rapid development of new treatments for key disease areas through active drug discovery projects and development of new technologies and methods.

Themes

The academic team work across a number of complementary themes across the Medicinal Chemistry and Chemical Biology research area.

Cancer drug discovery

Newcastle has a strong track record in the discovery of novel targeted therapies for cancer.

We are part of the Drug Discovery Programme of the Northern Institute of Cancer Research (NICR), one of four Cancer Research UK Drug Discovery Centres.

Our research aims to discover new treatments for cancers in areas of unmet clinical need. We use cutting edge drug design and synthesis techniques to develop new ways of addressing challenging protein targets, including:

  • structure-based design
  • fragment-based lead generation
  • cutting-edge organic synthesis
  • automated purification

We collaborate with colleagues in bioscience and structural biology. Our industrial partners facilitate the rapid development of lead molecules for future treatment of cancer.

Research leaders

Infectious disease drug discovery

We aim to discover and develop new small molecules to treat antibiotic resistant pathogenic bacterial infections.

Many of our molecules of interest are based on natural products derived from bacteria.

We identify new antibiotic natural products using:

  • synthetic organic chemistry
  • synthetic biology
  • molecular biology
  • bioinformatics
  • molecular analysis

We develop these further by understanding the mode of action of these molecules. We then apply these techniques to improve their pharmacokinetic properties for use as future drugs.

We collaborate with colleagues in microbiology, biochemistry, cell biology and analytical chemistry.

Research leader

New approaches to drug discovery

The academic team works to develop new experimental and computational approaches for drug discovery, to accelerate the discovery of the drugs of the future. These include new approaches to:

  • hit identification through fragment screening and optimisation
  • applications of DNA encoding in drug discovery
  • computational methods for atomistic modelling of drug-protein interactions

Research leaders

Radiochemistry and imaging

We aim to discover new molecules for imaging diseases, such as cancer and neurodegenerative diseases both in vitro and in vivo.

We use radiotracers and multi-modality imaging probes which are highly fluorescent, organelle specific and capable of carrying a radionuclide.

We develop radiochemical methods and automated production protocols using multi-step batch and flow chemistry techniques.

Our facilities include:

  • the first dedicated PET radiochemistry laboratory in the region
  • pre-clinical PET-CT scanners
  • clinical PET-CT scanners
  • clinical PET-MR scanners

This allows rapid in vivo evaluation of clinical leads and their translation through pre-clinical development to first-in-man studies.

Research leaders

Computational drug discovery

We use high-performance computing in combination with experimental methods to:

  • understand the mechanisms of disease
  • accelerate the drug discovery process
  • develop approaches to protein classes

Our research uses a wide range of techniques in our work, but our focus is on the atomistic modelling of biological molecules through:

  • classical molecular dynamics
  • large-scale quantum mechanical simulations
  • structural bioinformatics

One focus of these activities is in new approaches to cancer and diseases of ageing.

Using computation alongside synthetic chemistry, and molecular biology, we investigate the molecular mechanisms that contribute to these age-related conditions.

Research leaders

Collaborations

Our academics working within the Medicinal Chemistry and Chemical Biology research area have strong links across the University and with both industry and academia. These include:

Cancer drug discovery

Infectious disease drug discovery

The isolation, structural characterisation and biological evaluation of new antibiotic natural products are conducted in collaboration with:

New approaches to drug discovery

  • AstraZeneca, are focusing on innovative new approaches to cancer treatment, new methods of hit generation and chemical probe discovery.

Radiochemistry and imaging

Our research in radiotracers and multi-modality imaging probes is conducted in collaboration with:

  • Centre for In Vivo Imaging
  • Northern Institute for Cancer Research
  • Institute of Neuroscience
  • Partner in the multi-site UK Dementia Imaging Platform
  • the University’s Institute of Human Genetics, working with UK, EU academic and industrial partners on 18F-tagged DNA mimics as therapeutic agents for the treatment of Duchenne Muscular Dystrophy

Computational drug discovery

  • Northern Institute for Cancer Research, as part of the drug discovery group
  • Astex Pharmaceuticals working on novel methods for protein-ligand binding affinity prediction. This project is funded by the EPSRC
  • University of Cambridge, Theory of Condensed Matter group, working together on software tools for modelling protein and small molecule dynamics
Publications

2018

2017

2016

2015

2014

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