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Published in 2022 at "Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing"
DOI: 10.1101/2021.10.01.462692
Abstract: There is significant interest in developing machine learning methods to model protein-ligand interactions but a scarcity of experimentally resolved protein-ligand structures to learn from. Protein self-contacts are a much larger source of structural data that…
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Keywords:
protein self;
geometric patterns;
protein ligand;
patterns protein ... See more keywords
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Published in 2019 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1006888
Abstract: In response to a need for improved treatments, a number of promising novel targeted cancer therapies are being developed that exploit human synthetic lethal interactions. This is facilitating personalised medicine strategies in cancers where specific…
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Keywords:
patterns protein;
lethal interactions;
topology;
conserved patterns ... See more keywords