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Incorporating physics to overcome data scarcity in predictive modeling of protein function: a case study of BK channels
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 ap...
Autores principales: | Nordquist, Erik, Zhang, Guohui, Barethiya, Shrishti, Ji, Nathan, White, Kelli M., Han, Lu, Jia, Zhiguang, Shi, Jingyi, Cui, Jianmin, Chen, Jianhan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327070/ https://www.ncbi.nlm.nih.gov/pubmed/37425916 http://dx.doi.org/10.1101/2023.06.24.546384 |
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