کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
417296 681479 2008 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A Hidden Markov Model applied to the protein 3D structure analysis
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
A Hidden Markov Model applied to the protein 3D structure analysis
چکیده انگلیسی

Understanding and predicting protein structures depend on the complexity and the accuracy of the models used to represent them. A Hidden Markov Model has been set up to optimally compress 3D conformation of proteins into a structural alphabet (SA), corresponding to a library of limited and representative SA-letters. Each SA-letter corresponds to a set of short local fragments of four CαCα similar both in terms of geometry and in the way in which these fragments are concatenated in order to make a protein. The discretization of protein backbone local conformation as series of SA-letters results on a simplification of protein 3D coordinates into a unique 1D representation. Some evidence is presented that such approach can constitute a very relevant way to analyze protein architecture in particular for protein structure comparison or prediction.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Statistics & Data Analysis - Volume 52, Issue 6, 20 February 2008, Pages 3198–3207
نویسندگان
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