GSTT SEMINAR: Improving fragment assembly protein structure prediction
1:00pm - 2:00pm /
Monday 27th March 2017
/ Venue: Lecture Theatre 1 Life Sciences Building
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GSTT SEMINAR: Prof Charlotte Deane, University of Oxford - Title: 'Improving fragment assembly protein structure prediction'
Abstract:
Protein structures can elucidate functional understanding, explain disease mechanisms and inform drug design. However, experimental structure determination is costly and current de novo protein structure prediction methods are heuristics limited by the enormous search space, with successful predictions largely restricted to small, single domain proteins. In this talk I will give an overview of my group's work on improving de novo modelling speed and results with SAINT2 by better fragment selection, inclusion of evolutionary covariance-based contact prediction and sequential modelling.
Abstract:
Protein structures can elucidate functional understanding, explain disease mechanisms and inform drug design. However, experimental structure determination is costly and current de novo protein structure prediction methods are heuristics limited by the enormous search space, with successful predictions largely restricted to small, single domain proteins. In this talk I will give an overview of my group's work on improving de novo modelling speed and results with SAINT2 by better fragment selection, inclusion of evolutionary covariance-based contact prediction and sequential modelling.