文章基本信息

标题：Ab-Initio Computation Of The 3d-Structures Of Proteins By Nonparametric Statistical Methods --- Medium And Short Range Distance Estimates
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作者：JYOTHI S. ; Nicholas Piramal India Limited, Mumbai, INDIA ; RAJANI R. JOSHI 等
期刊名称：Sankhya. Series A, mathematical statistics and probability
印刷版ISSN：0976-836X
电子版ISSN：0976-8378
出版年度：2003
卷号：65
期号：03
出版社：Indian Statistical Institute
摘要：We have formulated the {\it ab-initio} prediction of the 3d-structure of proteins as a probabilistic programming problem where the inter-residue distances are treated as random variables. Lower and upper bounds for these random variables and the corresponding probabilities are estimated by nonparametric statistical methods. In this paper we focus on the estimation procedure for the {\it short} and {\it medium range} residue separation. Validation of the predicted structures show our method to be more accurate. Also, our method is found to be computationally most efficient than other existing {\it ab-initio} structure prediction methods.
关键词：ab-initio protein structure prediction, distance geometry, nonparametric discriminant analysis, nonparametric regression, probabilistic programming