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Incorporating physics to overcome data scarcity in predictive modeling of protein function: a case study of BK channels

2023-06-26

Abstract excerpt

Machine learning has played transformative roles in numerous chemical and biophysical problems such as protein folding where large amount of data exists. Nonetheless, many important problems remain challenging for data-driven machine learning approaches due to the limitation of data scarcity. One approach to overcome data scarcity is to incorporate physical principles such as through molecular modeling and simulat...

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Literature Corpus work
fc4c4733-fb73-5458-aa35-1e909f78f35c
DOI
10.1101/2023.06.24.546384
Open publication

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Incorporating physics to overcome data scarcity in predictive modeling of protein function: a case study of BK channelsDOI 10.1101/2023.06.24.546384
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