Category Archives: Academic Users

CompBioMed paper published on Ensemble-Based Replica Exchange Alchemical Free Energy Methods

Ensemble-Based Replica Exchange Alchemical Free Energy Methods: The Effect of Protein Mutations on Inhibitor Binding Agastya P. Bhati, Shunzhou Wan, and Peter V. Coveney Journal of Chemical Theory and Computation (2018) DOI: 10.1021/acs.jctc.8b01118 Mutations enable proteins to tailor molecular recognition with small-molecule ligands and other macromolecules, and can have a major impact on drug efficacy.…

CompBioMed Joins eInfraCentral

eInfraCentral is a Coordination and Support Action funded under the EU’s Horizon 2020 framework programme. Its mission is to ensure that by 2020 a broader and more varied set of users benefits from European e-Infrastructures. The project answers researchers’ and service providers’ need for a catalogue and platform where all can browse, search, compare and…

A Mechanistic Model for Predicting Cell Surface Presentation of Competing Peptides by MHC Class I Molecules

A Mechanistic Model for Predicting Cell Surface Presentation of Competing Peptides by MHC Class I Molecules Denise S. M. Boulanger (1), Ruth C. Eccleston (2,3), Andrew Phillips (4), Peter V. Coveney (2,3,) Tim J. Elliott (1) and Neil Dalchau (4) 1 Centre for Cancer Immunology and Institute for Life Sciences, Faculty of Medicine, University of…

CompBioMed research wins the 11th IEEE International Scalable Computing Challenge

Our work executing and managing large and complex campaigns of ligand binding simulations (using our domain specific middleware, HTBAC) has won the 11th IEEE International Scalable Computing Challenge (SCALE 2018) at the IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid) 2018 held in Washington DC. The prize rewards real-world problem solving using computing…

PolNet software released under General License

A recent paper published through a collaboration of our coordinator, UCL, with our Associate Partner at the Centre for Medical Informatics at the University of Edinburgh, outlines the use and release of the PolNet software tool. https://doi.org/10.1016/j.bpj.2018.03.032 PolNet is a software tool for the computer simulation of blood flow in realistic microvascular networks imaged with…

Dr Elisa Passini from University of Oxford wins the international 3Rs prize

At the University of Oxford, in the group of Professor Blanca Rodriguez and Dr Alfonso Bueno-Orovio, Dr Elisa Passini has won the International 3Rs Prize for computer modelling that predicts human cardiac safety better than animal studies. Their winning paper, in collaboration with Janssen Pharmaceutica describes the use of human-based computer models that have proven…