A Segmental Semi Markov Model for protein secondary structure prediction

Mathematical Biosciences

Volumn 221, Issue 2, 2009, Pages 130-135

  Malekpour, Seyed Amir ^a,e   Naghizadeh, Sima ^b   Pezeshk, Hamid ^a   Sadeghi, Mehdi ^c   Eslahchi, Changiz ^d,e  

^a UNIVERSITY OF TEHRAN   (Iran)

^b TARBIAT MODARES UNIVERSITY   (Iran)

^c NATIONAL INSTITUTE OF GENETIC ENGINEERING AND BIOTECHNOLOGY   (Iran)

^d SHAHID BEHESHTI UNIVERSITY   (Iran)

^e INSTITUTE FOR STUDIES IN THEORETICAL PHYSICS AND MATHEMATICS IPM   (Iran)

Author keywords

Bayesian methods; HMM; Left to right and right to left dependencies; Markov Models; Prediction; Secondary structure; Segmentation

Indexed keywords

BAYESIAN METHODS; HMM; LEFT-TO-RIGHT AND RIGHT-TO-LEFT DEPENDENCIES; MARKOV MODELS; PREDICTION; SECONDARY STRUCTURE; SEGMENTATION;

AMINATION; AMINES; AMINO ACIDS; BAYESIAN NETWORKS; IMAGE SEGMENTATION; ORGANIC ACIDS; PROBABILITY;

HIDDEN MARKOV MODELS;

AMINO ACID;

AMINO ACID; MARKOV CHAIN; NUMERICAL MODEL; PREDICTION; PROBABILITY; PROTEIN;

ACCURACY; ARTICLE; BAYES THEOREM; CALCULATION; CONTROLLED STUDY; HIDDEN MARKOV MODEL; INTERMETHOD COMPARISON; PREDICTION; PROBABILITY; PROTEIN SECONDARY STRUCTURE;

ALGORITHMS; AMINO ACIDS; BAYES THEOREM; MARKOV CHAINS; MODELS, MOLECULAR; MODELS, STATISTICAL; PROTEIN STRUCTURE, SECONDARY; PROTEINS;

EID: 70349200603     PISSN: 00255564     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mbs.2009.07.004     Document Type: Article

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