You are currently viewing 14/04/2021 – AI3SD Winter Seminar Series: AI 4 Proteins

14/04/2021 – AI3SD Winter Seminar Series: AI 4 Proteins

This seminar was then ninth of ten in our AI3SD Winter Seminar Series and also the first in the AI3SD and RSC-CICAG AI 4 Proteins Series. This seminar was hosted online via a zoom webinar. The event consisted of two talks on this subject. Below are the videos of the talks with speaker biographies, and the full playlist of this seminar can be found here.

Machine learning for biological sequence design – Dr Lucy Colwell (University of Cambridge)

Lucy Colwell is a faculty member in chemistry at the University of Cambridge. Her primary interests are in the application of machine learning approaches to better understand the relationship between the sequence and function of biological macromolecules. With collaborators Lucy showed that graphical models built from aligned protein sequences can be used to predict protein tertiary structure and functional attributes. Before moving to Cambridge Lucy received her PhD from Harvard University and was a member at the Institute for Advanced Study in Princeton, NJ. In 2018 Lucy was appointed a Simons Investigator in Mathematical Modeling of Living Systems.

DOI Link

Machine learning applications for macro-molecular X-ray crystallography at Diamond – Dr Melanie Vollmar (Diamond Light Source)

Melanie Vollmar is a postdoctoral researcher within the macromolecular X-ray (MX) crystallography village at Diamond Light Source, the UK’s national synchrotron. Her work focuses on using the vast amounts of user data produced at the facility to develop machine learning-based decision-making tools for application in the automated data analysis pipelines. Melanie has a background in structural biology looking at membrane proteins during her PhD at the University of Düsseldorf, Germany, and working in a high-throughput environment at the Structural Genomics Consortium (SGC) at the University of Oxford.

DOI Link

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