Welcome to IntBioSim.org

IntBioSim: An Integrated Approach to Multi-Level Biomolecular Simulations

The funding for the IntBioSim project was provided by the BBSRC

click here for the BBSRC website

Contact details of the Lead Principal Investigator

Prof. Mark Sansom

Department of Biochemistry
University of Oxford
South Parks Road
Oxford OX1 3QU
United Kingdom

E-mail: Mark.Sansom{at}bioch.ox.ac.uk

[ About IntBioSim | Centres for the four levels of Simulation | Computer Scientists | Presentations | Publications | Links for websites of the Principal Investigators | Documentation]


The overall aim of this project is to explore and establish an integrated approach to computational systems biology spanning from the chemical to the subcellular level of simulations. Biomolecular simulations play a key role in enabling us to study and understand biological processes at a microscopic level, not always accessible to experiment. Thus simulations are essential for interpretation and extension of experimental information, and are becoming increasingly important as methods and computer technology advance. Biomolecular simulations are also a key element of a genuine predictive biology, enabling us to employ the results of structural biology in a non-reductionist fashion. However, no single method can achieve all the levels of detail needed. Hence, we wish to integrate simulations ranging in level from the mechanistic (i.e. bond breaking and making) through ligand-protein interactions and conformational changes to ligand diffusion in a membrane. In the course of these studies we will exploit the biological usefulness of this approach, and will develop the use of HPC in multi-level biomolecular simulations. This will have a strong multi-disciplinary element and will bring to biological modelling both e-Science and simulation techniques from the physical and computational sciences.


  • Schematic representation of the levels of simulation in the IntBiosim project. The figure on the left displays the overview of simulation approaches in the IntBioSim project. The figure on the right further describes the interaction between the four levels of simulation.

  • Centres for the four levels of Simulation

    1) M1. Physical location: London (UCL)

    Prof. Coveney's group have considerable experience of dissapative particle dynamics (DPD), which will be applied to monotopic proteins (the biological system of interest to the IntBiosim project). Postdoc in charge: Dr. Shunzhou Wan


    2) M2. Physical location: Oxford Biochemistry

    Prof. Sansom's group have extensive expertise in molecular dynamics (MD) simulations and are now developing coarse grain MD approaches to membrane bound monotopic proteins. Postdoc in charge: Dr. Kia Balali-Mood


    3) M3. Physical location: Southampton

    Dr. Essex's group have considerable experience of drug docking studies. A range of docking algorithms will be used to quantify the fit of a ligand to the binding site of monotopic proteins.Postdoc in charge: Dr. Frank Beierlein


    4) M4. Physical location: Bristol

    Dr. Mulholland's group have substansial expertise in quantum mechanical/molecular mechnanics (QM/MM). This is a hybrid approach, and now that data has been generated from the lower levels of simulation, the QM/MM approach will be employed. Postdoc in charge: Dr. Christo Christov


    Computer Scientists

    IntBioSim is a collaborative project and without the considerable expertise of Computational Scientists at Manchester and the Comlab (Oxford) it would not have been possible. Principal Investigators are Profs. David Gavaghan (Oxford) and John Gurd (Manchester) as well as Dr.Steve McKeever (Oxford). Two highly talented Research Fellows based in Manchester (School of Computer Science) are Graham Riley and Rupert Ford.


    Presentations

  • Poster presented at the All Hands Meeting (Nottingham, Sept. 2005) and the BBSRC Bioinformatics grant holders forum (Manchester,Oct.2005) kiaAHM.ppt
  • Click Here for a PDF version of our most recent project handout


    Publications

  • Lodola A, Mor M, Hermann JC, Tarzia G, Piomelli D, Mulholland AJ (2005) QM/MM modelling of oleamide hydrolysis in fatty acid amide hydrolase (FAAH) reveals a new mechanism of nucleophile activation.Chem Commun (Camb);(35):4399-401
  • Lodola A, Mor M, Hermann JC, Tarzia G, Piomelli D, Harvey JN, Mulholland AJ (2007) Conformational Effects in Enzyme Catalysis: Reaction via a High Energy Conformation in Fatty Acid Amide Hydrolase. Biophys. J. 92: L20-22
  • General Article of interest: Mulholland AJ (2005),Drug Discovery Today, 10(20),1393-1402
  • Michel J,Verdonk ML,Essex JW (2006) Protein-ligand binding affinity predictions by implicit solvent simulations: a tool for lead optimization? J Med Chem.14;49(25):7427-39.
  • Fowler PW, Coveney PV (2006)A computational protocol for the integration of the monotopic protein prostaglandin H2 synthase into a phospholipid bilayer. Biophys J.15;91(2):401-10.
  • Fowler PW#, Balali-Mood K#,Deol S, Coveney PV, Sansom MSP (2007) Monotopic enzymes and lipid bilayers:A comparative study. Biochemistry (accepted, in press)
  • # denotes JOINT first author. Reprints in PDF form are available on request.
  • Please contact: Dr. Kia Balali-Mood


    Links for websites of the Principal Investigators

    Coveney Group home page

    Essex group home page

    Mulholland Group home page

    Manchester School of Computer Sciences home page

    Oxford Computing Laboratory home page

    Sansom group (Structural Bioinformatics and Computational Biochemistry Unit) home page

    Related projects

    BioSimGrid home page

    Dynome home page

    Reality Grid home page

    Integrative Biology home page


    Documentation

    Password protected documentation, click here if you've registered with Kia!.