E2EDA: Protein Domain Assembly Based on End-to-End Deep Learning. | J Chem Inf Model;63(20): 6451-6461, 2023 10 23. | MEDLINE

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Latin-American Center for Perinatology, Woman and Reproductive Health

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E2EDA: Protein Domain Assembly Based on End-to-End Deep Learning.

Zhu, Hai-Tao; Xia, Yu-Hao; Zhang, Gui-Jun.

Affiliation

Zhu HT; College of Information Engineering, Zhejiang University of Technology, Hangzhou, 310023, China.
Xia YH; College of Information Engineering, Zhejiang University of Technology, Hangzhou, 310023, China.
Zhang GJ; College of Information Engineering, Zhejiang University of Technology, Hangzhou, 310023, China.

J Chem Inf Model ; 63(20): 6451-6461, 2023 10 23.

Article in En | MEDLINE | ID: mdl-37788318

Subject(s)

Deep Learning; Protein Domains; Proteins/chemistry

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Type of study: Prognostic_studies Language: En Journal: J Chem Inf Model Journal subject: INFORMATICA MEDICA / QUIMICA Year: 2023 Type: Article Affiliation country: China

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Type of study: Prognostic_studies Language: En Journal: J Chem Inf Model Journal subject: INFORMATICA MEDICA / QUIMICA Year: 2023 Type: Article Affiliation country: China