Work

Artificial intelligence method to design and fold alpha-helical structural proteins from the primary amino acid sequence

Year: 2023

Type: dataset

Abstract: Dataset for paper: Z. Qin, L. Wu, H. Sun, S. Huo, T. Ma, E. Lim, P.-Y. Chen, B. Marelli, M.J. Buehler, Artificial intelligence method to design and fold alpha-helical structural proteins from the primary amino acid sequence, Extreme Mechanics Letters, Vol. 36, 100652, 2020. https://doi.org/10.1016/j.eml.2020.100652. Code: https://github.com/lamm-mit/MNNN/

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.7885534

Authors: Qin, Z., Lu, W., Sun, H., Huo, S., Ma, Tengfei, Lim, E., Chen, P.-Y., Marelli, B., Buehler, M.J.

Institutions: Massachusetts Institute of Technology, IBM (United States)

Language: English

Topic: Protein Structure and Dynamics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W4393561118

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