Computational Modelling Group

Biomedical

The Biomedical topic covers all projects modelling medical or disease processes in order to develop or improve treatments and therapeutics. This topic includes rational drug design, clinical trials and modelling the molecular basis of disease, inlcuding genetic and epigenetic contributions.

For queries about this topic, contact Richard Edwards.

View the calendar of events relating to this topic.

Projects

Bioinformatic identification and physiological analysis of ethanol-related genes in C. elegans

Richard Edwards, Vincent O'Connor, Lindy Holden-Dye (Investigators), Ben Ient

Investigating the broad molecular, cellular and systems level impacts of acute and chronic ethanol in the nematode, Caenorhabditis elegans, as a model.

DePuy Technology Partnership

Mark Taylor (Investigator), Adam Briscoe

This initiative concerns the transfer of knowledge between three key institutions (University of Southampton, University of Leeds and University of Hamburg) and DePuy International limited. The project is concerned with the ongoing advancement of technology used in orthopaedic devices.

Identification of novel Crustacean Pathogen Receptor Proteins

Richard Edwards, Chris Hauton, Timothy Elliott (Investigators), Oyindamola Lawal, Lloyd Mushambadzi

We are mining EST libraries (sequence fragments of expressed genes) for novel proteins that might play a role in the immune response of crustaceans.

Identification of phage DNA, common insertion sites and their effect on genes within S.pneumoniae

Richard Edwards, Amy Dean

This study seeks to find if there are any common insertion sites across different strains of S.pneumoniae and discover genes that undergo frequent mutation due to phages and if these mutations can be linked to virulence of the strains.

Identifying factors required for DNA methylation using the imprinting control protein ZFP57

Deborah Mackay (Investigator)

Mutation of ZFP57 in humans is associated with widespread loss of DNA methylation at imprinted genes, and clinical features including congenital anomalies and developmental delay (Mackay et al, 08). This indicates that ZFP57 is required for DNA methylation of imprinted genes necessary for normal development.
We propose to identify the DNA sequences targeted by ZFP57, and its protein cofactors. This work will give insight into the biology of imprinting, indicate mechanisms of disease, and identify novel imprinted genes.

Immunotherapy Research: Modelling MHC Class I Complex Assembly

Timothy Elliott, Jorn Werner (Investigators), Alistair Bailey

This project uses mathematical modelling and simulation to investigate mechanisms by which our cells process and present biological information that is used by our immune system to distinguish between healthy and diseased cells.

Imprinting Disorders Finding Out Why

Karen Temple (Investigator)

We are conducting a research project to determine the cause and clinical impact of widespread imprinting aberrations in human development. We are recruiting patients with possible or definite imprinting disorders (due to methylation loss or gain at an imprinted loci)

including Silver Russell syndrome, Transient Neonatal diabetes, Beckwith Wiedemann syndrome, Angelman syndrome Prader Willi syndrome, UPD 14 syndromes and Pseudohypoparathyroidism.

Integrated in silico prediction of protein-protein interaction motifs

Richard Edwards (Investigator), Kieren Lythgow

Many vital protein-protein interactions are mediated by Short Linear Motifs (SLiMs) which are short proteins typically 5-15 amino acids long containing only a few positions crucial to function. This project integrates a number of leading computational techniques to predict novel SLiMs and add crucial detail to protein-protein interaction networks.

Interactome-wide prediction of short linear protein interaction motifs in humans

Richard Edwards (Investigator)

Short Linear Motifs (SLiMs) are important in many protein-protein interactions. In previous work, we have developed a computational tool, SLiMFinder, which places the interpretation of evidence for motifs within a statistical framework with high specificity, and subsequently enhanced sensitivity through application of conservation-based sequence masking. We are now applying these tools to a comprehensive set of human protein-protein interactions in order to predict novel human SLiMs in silico.

Measuring biomolecules - improvements to the spectroscopic ruler

Pavlos Lagoudakis, Tom Brown (Investigators), Jan Junis Rindermann, James Richardson

The spectroscopic ruler is a technique to measure the geometry of biomolecules on the nm scale by labeling them with pairs of fluorescent markers and measuring distance dependent non-radiative energy transfer between them. The remaining uncertainty in the application of the technique originates from the unknown orientation between the optical dipole moments of the fluorescent markers, especially when the molecule undergoes thermal fluctuations in physiological conditions. Recently we introduced a simulation based method for the interpretation of the fluorescence decay dynamics of the markers that allows us to retrieve both the average orientation and the extent of directional fluctuations of the involved dipole moments.

Multi-objective design optimisation of coronary stents

Neil Bressloff, Georges Limbert (Investigators), Sanjay Pant

Stents are tubular type scaffolds that are deployed (using an inflatable balloon on a catheter), most commonly to recover the shape of narrowed (diseased) arterial segments. Despite the widespread clinical use of stents in cardiovascular intervention, the presence of such devices can cause adverse responses leading to fatality or to the need for further treatment. The most common unwanted responses of inflammation are in-stent restenosis and thrombosis. Such adverse biological responses in a stented artery are influenced by many factors, including the design of the stent. This project aims at using multi-objective optimisation techniques to find an optimum family of coronary stents which are more resistant to the processes of in-stent restenosis (IR) and stent thrombosis (ST).

Multiscale modelling of biological membranes

Jonathan Essex (Investigator), Mario Orsi

Biological membranes are complex and fascinating systems, characterised by proteins floating in a sea of lipids. Biomembranes, besides being the fundamental structures employed by nature to encapsulate cells, play crucial roles in many phenomena indispensable for life, such as growth, energy storage, and in general information transduction via neural activity. In this project, we develop and apply multiscale computational models to simulate biological membranes and obtain molecular-level insights into fundamental structures and phenomena.

MXL Project

Mark Taylor, Junfen Shi (Investigators)

‘MXL’ is short for “Enhanced patient safety by computational Modelling from clinically available X-rays to minimise the risk of overload and instability for optimised function and Longevity”. This is an international EU-funded project which the Bioengineering Sciences Research Group at Southampton is involved in. For more information, visit http://www.m-x-l.eu

Statistical model of the knee

Mark Taylor (Investigator), Francis Galloway, Prasanth Nair

Development of methods for large scale computational testing of a tibial tray incorporating inter-patient variability.

Tissue Engineering

Tiina Roose (Investigator)

This project deals with applying mathematical and computational modelling techniques to answer questions that are useful for tissue engineering applications.

Transgenerational inheritance of allergy in a multi generational cohort

John Holloway (Investigator)

The aim of this project is to determine the vertical transmission of DNA methylation by identification of CpG sites by microarray analysis of 450,000 CpG sites in 252 women of the IoW cohort that are associated with allergic sensitization and testing whether the identified methylation patterns are vertically transmitted to their offspring and whether modifiable environmental conditions during gestation affect DNA methylation.

µ-VIS Computed Tomography Centre

Ian Sinclair, Richard Boardman, Dmitry Grinev, Philipp Thurner, Simon Cox, Jeremy Frey, Mark Spearing, Kenji Takeda (Investigators)

A dedicated centre for computed tomography (CT) at Southampton, providing complete support for 3D imaging science, serving Engineering, Biomedical, Environmental and Archaeological Sciences. The centre encompasses five complementary scanning systems supporting resolutions down to 200nm and imaging volumes in excess of one metre: from a matchstick to a tree trunk, from an ant's wing to a gas turbine blade.

People

Tom Brown
Professor, Chemistry (FNES)
Andrew Collins
Professor, Medicine (FM)
Simon Cox
Professor, Engineering Sciences (FEE)
Timothy Elliott
Professor, Medicine (FM)
Jonathan Essex
Professor, Chemistry (FNES)
Jeremy Frey
Professor, Chemistry (FNES)
Lindy Holden-Dye
Professor, Biological Sciences (FNES)
John Holloway
Professor, Medicine (FM)
Pavlos Lagoudakis
Professor, Physics & Astronomy (FPAS)
Anthony Postle
Professor, Medicine (FM)
Ian Sinclair
Professor, Engineering Sciences (FEE)
Mark Spearing
Professor, Engineering Sciences (FEE)
Karen Temple
Professor, Medicine (FM)
Deborah Mackay
Reader, Medicine (FM)
Vincent O'Connor
Reader, Biological Sciences (FNES)
Tiina Roose
Reader, Engineering Sciences (FEE)
Jorn Werner
Reader, Biological Sciences (FNES)
Neil Bressloff
Senior Lecturer, Engineering Sciences (FEE)
Prasanth Nair
Senior Lecturer, Engineering Sciences (FEE)
Kenji Takeda
Senior Lecturer, Engineering Sciences (FEE)
Georges Limbert
Lecturer, Engineering Sciences (FEE)
Philipp Thurner
Lecturer, Engineering Sciences (FEE)
Richard Edwards
Senior Research Fellow, Biological Sciences (FNES)
Chris Hauton
Senior Research Fellow, Ocean & Earth Science (FNES)
Mario Orsi
Senior Research Fellow, Chemistry (FNES)
Philip Williamson
Senior Research Fellow, Biological Sciences (FNES)
Richard Boardman
Research Fellow, Engineering Sciences (FEE)
Andrea Boghi
Research Fellow, Engineering Sciences (FEE)
Adam Briscoe
Research Fellow, Engineering Sciences (FEE)
Jane Gibson
Research Fellow, Medicine (FM)
Dmitry Grinev
Research Fellow, Engineering Sciences (FEE)
James Richardson
Research Fellow, Chemistry (FNES)
Alistair Bailey
Postgraduate Research Student, Medicine (FM)
Dario Carugo
Postgraduate Research Student, Engineering Sciences (FEE)
Dmitri Chernyshenko
Postgraduate Research Student, Engineering Sciences (FEE)
Alicia Costalago Meruelo
Postgraduate Research Student, University of Southampton
Francis Galloway
Postgraduate Research Student, Engineering Sciences (FEE)
Ric Gillams
Postgraduate Research Student, Chemistry (FNES)
Tom Hebbron
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Ben Ient
Postgraduate Research Student, Biological Sciences (FNES)
Gwen Palmer
Postgraduate Research Student, Engineering Sciences (FEE)
Sanjay Pant
Postgraduate Research Student, Engineering Sciences (FEE)
Jan Junis Rindermann
Postgraduate Research Student, Physics & Astronomy (FPAS)
Barbara Sander
Postgraduate Research Student, Chemistry (FNES)
Amy Dean
Undergraduate Research Student, Biological Sciences (FNES)
Matthew Higgins
Undergraduate Research Student, Biological Sciences (FNES)
Paul Skipp
Technical Staff, Biological Sciences (FNES)
Elena Vataga
Technical Staff, iSolutions
Petrina Butler
Administrative Staff, Research and Innovation Services
Kieren Lythgow
Alumnus, Health Protection Agency
Lloyd Mushambadzi
Alumnus, former UG, Biological Sciences
Thomas Blumensath
External Member, University of Oxford
Stephen Green
None, None
Junfen Shi
None, None