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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...

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Detalles Bibliográficos
Autores principales: Nordquist, Erik, Zhang, Guohui, Barethiya, Shrishti, Ji, Nathan, White, Kelli M., Han, Lu, Jia, Zhiguang, Shi, Jingyi, Cui, Jianmin, Chen, Jianhan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
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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