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Development and Testing of a Reference Computational Platform for Understanding BiomolecularRecognition

Total Cost €


EC-Contrib. €






Project "UBioRec" data sheet

The following table provides information about the project.


Organization address
city: LONDON
postcode: WC1E 6BT
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 195˙454 €
 EC max contribution 195˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2018
 Duration (year-month-day) from 2018-06-01   to  2020-05-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY COLLEGE LONDON UK (LONDON) coordinator 195˙454.00


 Project objective

Due to its fundamental regulatory role, molecular recognition has been extensively studied by both experiments and simulations. During the last 30 years impressive technical advances allowed significant progress in understanding molecular recognition mechanisms. However, the matter is far from settled and contradictory reports are still appearing in the literature. Lately, I have been studying these processes using a combination of computational and experimental approaches in different systems. Here I propose to study several representative model systems in great details, taking advantages of new force fields, DFT functionals and enhanced sampling algorithms recently emerged. These systems are small enough to allow the use of state-of-the-art simulation techniques; still they are sufficiently complex not only to mimic the behaviour of far larger systems but also to use apparently different mechanisms. Indeed, their molecular recognition needs complex conformational changes, the re-arrangement of water molecules in the binding cavity, and an active role of the ligand in the binding/release mechanisms. The overarching objective of my proposal is to learn the state-of-the-art enhanced sampling techniques developed at UCL and combine them with QM/MM approaches to: i) understand how bio-molecular recognition works in both isoforms, ii) fully characterize the thermodynamics and kinetic processes that govern them and iii) validate the computational approaches against high-quality experimental data. If successful, the in-depth understanding of the molecular binding mechanism will shed light on an intriguing and important biological system and provide a much needed benchmark to the computational community. This challenging but feasible project will have a far reaching impact on a number of H2020 priority areas, including drug discovery and bio-molecular engineering.

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The information about "UBIOREC" are provided by the European Opendata Portal: CORDIS opendata.

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