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

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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:
Article
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

Internet

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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