Author: Thomas Desautels; Adam Zemla; Edmond Lau; Magdalena Franco; Daniel Faissol
Title: Rapid in silico design of antibodies targeting SARS-CoV-2 using machine learning and supercomputing Document date: 2020_4_10
ID: kg2j0dqy_23
Snippet: Improvements in FoldX-estimated ddG values propsed by machine learning model: first 5% of antibody mutants proposed (red) vs last 5% proposed (blue).....
Document: Improvements in FoldX-estimated ddG values propsed by machine learning model: first 5% of antibody mutants proposed (red) vs last 5% proposed (blue)
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