Ab-initio prediction and reliability of protein structural genomics by PROPAINOR algorithm

DOI10.1016/S0097-8485(02)00074-8zbMath1025.92007OpenAlexW2069900209WikidataQ30333305 ScholiaQ30333305MaRDI QIDQ1414257

S. Jyothi, Rajani R. Joshi

Publication date: 20 November 2003

Published in: Computational Biology and Chemistry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0097-8485(02)00074-8

zbMATH Keywords

distance geometrynonparametric regressionprobabilistic programmingreliability indexab-initio protein structure predictionnonparametric discriminant analysis

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40) Computational methods for problems pertaining to biology (92-08)

Uses Software

• SAS
• SAS/STAT

Cites Work

• Distance geometry optimization for protein structures
• Global Convergence Properties of Conjugate Gradient Methods for Optimization
• Unnamed Item

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