✦ LIBER ✦

Application of protein structure alignments to iterated hidden Markov model protocols for structure prediction

✍ Scribed by Eric D Scheeff; Philip E Bourne

Book ID: 115000488
Publisher: BioMed Central
Year: 2006
Tongue: English
Weight: 1003 KB
Volume: 7
Category: Article
ISSN: 1471-2105
DOI: 10.1186/1471-2105-7-410

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Protein Structure Prediction Volume 65 |

Protein Structure Prediction Volume 65 || Hidden Markov Models for Prediction of Protein Features

✍ Zaki, Mohammed J.; Bystroff, Christopher 📂 Article 📅 2008 🏛 Humana Press ⚖ 793 KB

Analysis of an optimal hidden Markov mod

Analysis of an optimal hidden Markov model for secondary structure prediction

✍ Juliette Martin; Jean-François Gibrat; François Rodolphe 📂 Article 📅 2006 🏛 BioMed Central 🌐 English ⚖ 794 KB

## Background Secondary structure prediction is a useful first step toward 3D structure prediction. A number of successful secondary structure prediction methods use neural networks, but unfortunately, neural networks are not intuitively interpretable. On the contrary, hidden Markov models are grap

Prediction of protein structure classes

Prediction of protein structure classes and secondary structures by means of hidden Markov models

✍ Hiroshi Yoshikawa; Mitsunori Ikeguchi; Shugo Nakamura; Kentaro Shimizu; Junta Do 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 267 KB 👁 2 views

This study deals with structure class/secondary structure prediction of proteins using hidden Markov models (HMMs). With the proposed method, prediction is performed using HMMs designed so as to represent hierarchicality and periodicity of protein structural features. Secondary structures (partial t

Protein secondary structure prediction f

Protein secondary structure prediction for a single-sequence using hidden semi-Markov models

✍ Zafer Aydin; Yucel Altunbasak; Mark Borodovsky 📂 Article 📅 2006 🏛 BioMed Central 🌐 English ⚖ 406 KB

Fold recognition using predicted seconda

Fold recognition using predicted secondary structure sequences and hidden Markov models of protein folds

✍ Di Francesco, Valentina; Geetha, V.; Garnier, Jean; Munson, Peter J. 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 59 KB 👁 2 views

We present an analysis of the blind predictions submitted to the fold recognition category for the second meeting on the Critical Assessment of techniques for protein Structure Prediction. Our method achieves fold recognition from predicted secondary structure sequences using hidden Markov models (H

Protein topology recognition from second

Protein topology recognition from secondary structure sequences: application of the hidden markov models to the alpha class proteins

✍ V Di Francesco; J Garnier; P.J Munson 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 399 KB