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CRiSP: accurate structure prediction of disulfide-rich peptides with cystine-specific sequence alignment and machine learning.
Liu, Zi-Lin; Hu, Jing-Hao; Jiang, Fan; Wu, Yun-Dong.
Affiliation
  • Liu ZL; Laboratory of Computational Chemistry and Drug Design, State Key Laboratory of Chemical Oncogenomics, Peking University Shenzhen Graduate School, Shenzhen 518055, China.
  • Hu JH; Laboratory of Computational Chemistry and Drug Design, State Key Laboratory of Chemical Oncogenomics, Peking University Shenzhen Graduate School, Shenzhen 518055, China.
  • Jiang F; College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China.
  • Wu YD; Laboratory of Computational Chemistry and Drug Design, State Key Laboratory of Chemical Oncogenomics, Peking University Shenzhen Graduate School, Shenzhen 518055, China.
Bioinformatics ; 36(11): 3385-3392, 2020 06 01.
Article in En | MEDLINE | ID: mdl-32215567
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sequence Analysis, Protein / Cystine Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2020 Document type: Article Affiliation country: China Country of publication: United kingdom
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sequence Analysis, Protein / Cystine Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2020 Document type: Article Affiliation country: China Country of publication: United kingdom