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Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning
Marcin Skwark
Author Information
Marcin Skwark (InstaDeep)
Dr Marcin J. Skwark is the Bioinformatics Lead at InstaDeep Ltd. Before joining InstaDeep in the beginning of 2020, he conducted academic research in computational structural biology at universities in Stockholm (Stockholm University), Helsinki (Aalto), Beijing (Tsinghua), Nashville (Vanderbilt), and Cambridge, UK (University of Cambridge). He researches on application of machine learning to modelling complex biological systems, structural bioinformatics (esp. protein design), as well as computational methods to enable groundbreaking discoveries in life sciences.
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2022 : Peptide-MHC Structure Prediction With Mixed Residue and Atom Graph Neural Network »
Antoine Delaunay · Yunguan Fu · Alberto Bégué · Robert McHardy · Bachir Djermani · Liviu Copoiu · Michael Rooney · Andrey Tovchigrechko · Marcin Skwark · Nicolas Lopez Carranza · Maren Lang · Karim Beguir · Ugur Sahin -
2016 Poster: Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images »
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2016 Oral: Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images »
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