SWARMDESIGNTOOLS

Swarm Intelligence Simulations as Tools for Molecular Design of Better Medicines

 Coordinatore THE UNIVERSITY OF MANCHESTER 

 Organization address address: OXFORD ROAD
city: MANCHESTER
postcode: M13 9PL

contact info
Titolo: Dr.
Nome: Katherine
Cognome: Boylan
Email: send email
Telefono: 441613000000

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 200˙549 €
 EC contributo 200˙549 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2010-IEF
 Funding Scheme MC-IEF
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-03-05   -   2014-03-04

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF MANCHESTER

 Organization address address: OXFORD ROAD
city: MANCHESTER
postcode: M13 9PL

contact info
Titolo: Dr.
Nome: Katherine
Cognome: Boylan
Email: send email
Telefono: 441613000000

UK (MANCHESTER) coordinator 200˙549.60

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Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

predictive    molecular    simulations    optimisation    swarmdesigntools    accurate    manchester    accuracy    engineering    live    tool    swarming    drug    pharmaceutical    computing    protein    energy    tools    ligand    binding    software    swarm    medicines    insects    cancer   

 Obiettivo del progetto (Objective)

'A new generation of medicines, diagnostics and materials are needed to fuel new advances in healthcare and technology. Critical to this are predictive quality software tools to guide molecular design. In the School of Pharmacy at the University of Manchester, our constant aim is to improve the accuracy of the software tools we use in drug design. The aim of this proposal is to develop a more efficient and accurate software tool for prediction of protein-ligand binding affinities. This tool will use a simple but powerful new evolutionary computing method based on the cooperative behaviour of swarming insects. We have recently shown that this swarm-based approach dramatically improves the conformational optimisation of biomolecules. Now we propose to develop a tool based on a swarm of protein-ligand molecular dynamics (MD) trajectories which provides greater coverage of the high energy conformations, in turn leading to improved estimates of binding free energy. After validation, the tool will be used for predictive lead optimisation to impact our live oncology projects within the Manchester Cancer Research Centre (MCRC) and also in the industrial setting of AstraZeneca. The opportunity to confirm predicted protein inhibitors via synthesis and assay will also be provided.'

Introduzione (Teaser)

Researchers have designed new software tools that will enhance the engineering of drugs.

Descrizione progetto (Article)

Thanks to advances in pharmaceutical research, European citizens can now expect to live up to 30 years longer than a century ago. The modern approach to this research field includes the use of software to design new medicines that are stronger, safer and more targeted for patients' needs.

The aim of the EU-funded 'Swarm intelligence simulations as tools for molecular design of better medicines' (SWARMDESIGNTOOLS) project was to improve the accuracy of such drug design software tools. Specifically, it applied a new computing method inspired by how swarming insects cooperate.

SWARMDESIGNTOOLS' approach improved on existing methods by predicting a wider and more accurate range of potential structures that form between proteins and small molecules. Two new algorithms for computer simulations were also developed.

The new software tools were tested for key chemical reactions frequently used as test cases by the pharmaceutical industry. This research can now be directly applied to medicine, and is in fact currently being used in cancer research in the United Kingdom.

Project results should help drive medical progress by giving scientists the tools they need for engineering new therapeutics against disease.

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