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ZoomQA: residue-level protein model accuracy estimation with machine learning on sequential and 3D structural features.
Hippe, Kyle; Lilley, Cade; William Berkenpas, Joshua; Chandana Pocha, Ciri; Kishaba, Kiyomi; Ding, Hui; Hou, Jie; Si, Dong; Cao, Renzhi.
Afiliação
  • Hippe K; Department of Computer Science, Pacific Lutheran University, Tacoma, WA 98447, USA.
  • Lilley C; Department of Computer Science, Pacific Lutheran University, Tacoma, WA 98447, USA.
  • William Berkenpas J; Department of Computer Science, Pacific Lutheran University, Tacoma, WA 98447, USA.
  • Chandana Pocha C; Saint Louis University, USA.
  • Kishaba K; Department of Computer Science, Pacific Lutheran University, Tacoma, WA 98447, USA.
  • Ding H; Center for Informational Biology at University of Electronic Science and Technology of China.
  • Hou J; Saint Louis University, USA.
  • Si D; University of Washington Bothell, USA.
  • Cao R; Department of Computer Science, Pacific Lutheran University, Tacoma, WA 98447, USA.
Brief Bioinform ; 23(1)2022 01 17.
Article em En | MEDLINE | ID: mdl-34553747
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteínas Virais / Modelos Moleculares / Caspases / Aprendizado de Máquina / SARS-CoV-2 / COVID-19 Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteínas Virais / Modelos Moleculares / Caspases / Aprendizado de Máquina / SARS-CoV-2 / COVID-19 Idioma: En Ano de publicação: 2022 Tipo de documento: Article