Global and local prediction of protein folding rates based on sequence autocorrelation information

DOI10.1016/J.JTBI.2010.03.042zbMath1406.92476OpenAlexW1988105491WikidataQ51709347 ScholiaQ51709347MaRDI QIDQ1719912

Lili Xi, Huanxiang Liu, Xiaojun Yao, Shuyan Li, Jiazhong Li, Beilei Lei

Publication date: 12 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.2010.03.042

zbMATH Keywords

genetic algorithmmultiple linear regressionamino acid sequence autocorrelationlocal lazy regressionprotein folding rate

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Protein sequences, DNA sequences (92D20)

Uses Software

• PseAAC
• PROFEAT
• SODOCK
• PROFcon

Cites Work

• Structural determinants of the rate of protein folding

This page was built for publication: Global and local prediction of protein folding rates based on sequence autocorrelation information