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Spearheading biological discovery through computational methods

The Computational Biology (CompBio) research focus group emphasises research utilising computational methods and tools that drive biological discovery.

We offer powerful simulation techniques that cross time and spatial scales relevant to biology, from molecular dynamics (Jorgensen, Draheim) to whole body simulations (Fullstone).

 

Areas of expertise:

  • Molecular dynamics
  • Systems biology
  • Machine learning & AI
  • Physiological-based pharmacokinetic (PBPK) modelling
  • Quantitative Systems Pharmacology (QSP) modelling
  • Synthetic bacterial signalling pathways
  • Graphic card acceleration in life sciences

 

Translational Areas of Interest:

  • Drug delivery
  • Blood-brain barrier
  • Neurological disease
  • Cancer apoptosis
  • Antimicrobials

 

Facilities

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To enable computationally intensive simulations, we possess a state-of-the-art computing suite including 8 Dell Precision Tower 5860 and HP Z4 machines with dual NVIDIA RTX A4000 graphic cards.

This equipment allows us to run all-atom MD simulations in the hundreds of thousands of atoms and particle-based models covering millions of particles. We also accelerate our simulations on the high-performance computing facilities at the University of Portsmouth, SCIAMA.

 

Groups

Jorgensen

The Jorgensen Lab uses computational biophysics and theoretical chemistry tools to explore drug delivery across complex membranes. Our aim is to make significant contributions to the field of drug delivery and membrane transport.

 

Fullstone

The Fullstone group specialises in integrating data-driven mechanistic models (particle-based, ODE-based) of drug action & disease with whole body pharmacokinetic modelling (multi-compartment, PBPK, QSP) to predict drug responses in individuals and populations, with a particular interest in targeting cancer apoptosis and CNS diseases.

 

Members of staff

Christian David Jorgensen Portrait

Dr Christian Jorgensen

Senior Lecturer

[email protected]

School of Medicine, Pharmacy and Biomedical Sciences

PhD Supervisor

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Gavin Fullstone Portrait

Dr Gavin Fullstone

Lecturer

[email protected]

School of Medicine, Pharmacy and Biomedical Sciences

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Roger Russell Draheim Portrait

Dr Roger Draheim

Associate Head (Research and Innovation)

[email protected]

School of Medicine, Pharmacy and Biomedical Sciences

PhD Supervisor

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Key publications

 

A pH-sensitive binding modality allows successful transferrin receptor-mediated transcytosis of a bivalent antibody across brain barriers

Philipp Kuhn, Sabrina Petralla, Fatemeh Dabbagh, Valentina Pegoretti, Walter Muranyi, Hiroshi Ishikawa, Horst Schroten, Roman Fischer, André Frenzel, Thomas Schirrmann, Markus Rehm, Christian Schwerk, Gert Fricker, Roland Kontermann, Gavin Fullstone

School of Medicine, Pharmacy and Biomedical Sciences

YUMAB GmbH, Heidelberg University of Education, Heidelberg University, University of Stuttgart, University of Tsukuba


Stochasticity contributes to explaining minority and majority MOMP during apoptosis

Jenny Geiger, Fabian Klötzer, Nadine Pollak, Gavin Fullstone, Markus Rehm

School of Medicine, Pharmacy and Biomedical Sciences


Permeability benchmarking: guidelines for comparing in silico, in vitro, and in vivo measurements

Christian Jorgensen, Raleigh M. Linville, Ian Galea, Edward Lambden, Martin Vögele, Charles Chen, Evan P. Troendle, Fiorella Ruggiu, Martin B. Ulmschneider, Birgit Schiøtt, Christian D. Lorenz

School of Medicine, Pharmacy and Biomedical SciencesInstitute of Life Sciences and Healthcare


A least-squares-fitting procedure for an efficient preclinical ranking of passive transport across the blood–brain barrier endothelium

Christian Jorgensen*, Evan P. Troendle, Jakob P. Ulmschneider, Peter C. Searson, Martin B. Ulmschneider
*Corresponding author for this work

Johns Hopkins University, Aarhus University, King's College London, Shanghai Jiao Tong University


Atomistic model of solute transport across the blood-brain barrier

Christian Jorgensen, Martin B. Ulmschneider, Peter C. Searson*
*Corresponding author for this work

Johns Hopkins University, King's College London

 

 

 

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