96 citations · 98 across the 2 of their papers we have counts for
3 papers
Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning
Marcin J. Skwark, Nicolás López Carranza, Thomas Pierrot +6
The SARS-CoV-2 pandemic has created a global race for a cure. One approach focuses on designing a novel variant of the human angiotensin-converting enzyme 2 (ACE2) that binds more…
3D Deep Learning for Biological Function Prediction from Physical Fields
Vladimir Golkov, Marcin J. Skwark, Atanas Mirchev +5
Predicting the biological function of molecules, be it proteins or drug-like compounds, from their atomic structure is an important and long-standing problem. Function is dictated…
Improving contact prediction along three dimensions
Christoph Feinauer, Marcin J. Skwark, Andrea Pagnani +1
Correlation patterns in multiple sequence alignments of homologous proteins can be exploited to infer information on the three-dimensional structure of their members. The typical p…