Quantitative prediction of the thermal motion and intrinsic disorder of protein cofactors in crystalline state: a case study on halide anions

DOI10.1016/j.jtbi.2010.06.038zbMath1407.92050OpenAlexW2009039034WikidataQ45892003 ScholiaQ45892003MaRDI QIDQ1722845

Xianqiang Yang

Publication date: 18 February 2019

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2010.06.038

zbMATH Keywords

machine learningstatistical modeling\(B\)-factorquantitative structure-disorder relationship

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Biochemistry, molecular biology (92C40)

Uses Software

• SCWRL4

Cites Work

• Random forests
• Unnamed Item

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