Grant winners - 6 February 2014

February 6, 2014

Leverhulme Trust

Research Project Grants

  • Award winner: Luke Rendell
  • Institution: University of St Andrews
  • Value: £119,556

Developing a data-driven multi-agent model for studying humpback whale song

The evolutionary paths to diversity and innovation


Royal Society

University Research Fellowships

Controlling caloric materials via multiple order parameters

  • Award winner: Joshua Nunn
  • Institution: University of Oxford
  • Value: £476,630

Scalable photonics via ensemble atomic Raman scattering (SPEARS)

  • Award winner: Leonid Ponomarenko
  • Institution: University of Lancaster
  • Value: £445,741

Materials and devices assembled on demand from graphene and other atomic planes


Norwegian Research Council

  • Award winner: Tony Bridgwater
  • Institution: Aston University
  • Value: £321,374

To research and develop renewable wood based biofuels for shipping


Biotechnology and Biological Sciences Research Council

  • Award winner: Setsuko Sahara
  • Institution: King’s College London
  • Value: £4,000

Molecular control of self-renewal and neurogenic characteristics of cortical progenitors

  • Award winner: Kevin Purdy
  • Institution: University of Warwick
  • Value: £448,970

Are microbiomes important to mammary gland health in dairy cows?

Structure and function of voltage-gated ion channels and their applications for rational drug design

  • Award winner: Andrea Rocco
  • Institution: University of Surrey
  • Value: £256,166

A systems biology approach to neural crest development: the role of noise in fate choice from bipotent precursors

In detail

Frederic Fol Leymarie and Michael Sternberg

Award winners: Frederic Fol Leymarie and Michael Sternberg
Institution: Goldsmiths, University of London and Imperial College London
Value: £8,352

DockIt: Development and launch of a crowd-sourced serious-games platform for protein docking for use by the public and the scientific community

The aim of this project is to develop a computer game to model how two proteins fit together and perform their functions. Protein docking to form a “complex” (molecular structure) is central to a protein’s biological activity, but the structure’s shape remains difficult to model. DockIt will allow players to manipulate the two protein structures and predict a complex. Understanding docking can provide improved knowledge of all cellular processes and practical application of drug design. “Tile matching games are highly addictive fun – just look at the popularity of games like Tetris,” said Professor Leymarie, from Goldsmiths’ department of computing. “If we can use this gaming community and channel them to think creatively about a scientific problem that has obvious conceptual correlations with such games, then perhaps we are on to a winning formula.”

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