Papers

New paper: “Allosteric Regulation of SARS-CoV-2 Protease: Towards Informed Structure-Based Drug Discovery”

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The SARS-CoV-2 main protease is a target for the development of novel therapeutics for COVID-19.  Based on crystal structure data from the homologous SARS-CoV-1 protease, the binding site would be expected to adopt two possible conformations – a close-apo-like structure with the His-Cys catalytic dyad intact, and an open structure …

Awards, Data Science

Congratulations to Mohamed Ali for winning Machine Learning competition at PyData2019

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During the PyData2019 conference, I took part in the Democracy Hackathon, hosted by Newspeak House (The London College of Political Technologists), which took the format of a Kaggle-style machine learning competition for predicting the turnout of UK general elections. SixFifty has been working hard to source and produce model-ready datasets for solving …