✦ LIBER ✦

2D representation of protein secondary structure sequences and its applications

✍ Scribed by Liwei Liu; Tianming Wang

Publisher: John Wiley and Sons
Year: 2006
Tongue: English
Weight: 216 KB
Volume: 27
Category: Article
ISSN: 0192-8651
DOI: 10.1002/jcc.20430

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

In terms of the classification of the protein secondary structures, we propose a 2D representation of protein secondary structure sequences. The representation are used to display, analyze, and compare the secondary structure sequences. Based on this representation, we assign the structural class to the protein, and verify the advantage or disadvantage of the methods of predicted protein second structure. © 2006 Wiley Periodicals, Inc. J Comput Chem 27: 1119–1124, 2006

📜 SIMILAR VOLUMES

S curve, a graphic representation of pro

S curve, a graphic representation of protein secondary structure sequence and its applications

✍ Chun-Ting Zhang; Ren Zhang 📂 Article 📅 2000 🏛 Wiley (John Wiley & Sons) 🌐 English ⚖ 145 KB 👁 1 views

A secondary structure sequence is a symbolic string composed of three kinds of letters, indicating the helix, strand, and coil (including turns), respectively. A graphic representation for this abstract symbolic sequence is proposed here, called the S curve. The S curve is the unique representation

Similarity/dissimilarity studies of prot

✍ Yu-Hua Yao; Qi Dai; Ling Li; Xu-Ying Nan; Ping-An He; Yao-Zhou Zhang 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 412 KB

## Abstract A (two‐dimensional) 2D graphical representation of protein sequences based on six physicochemical properties of amino acids is outlined. The numerical characterization of protein graphs is given as descriptors of protein sequences. It is not only useful for comparative study of proteins

Application of multiple sequence alignme

Application of multiple sequence alignment profiles to improve protein secondary structure prediction

✍ James A. Cuff; Geoffrey J. Barton 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 298 KB 👁 2 views

Evaluation and improvement of multiple s

Evaluation and improvement of multiple sequence methods for protein secondary structure prediction

✍ James A. Cuff; Geoffrey J. Barton 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 166 KB 👁 2 views

A new dataset of 396 protein domains is developed and used to evaluate the performance of the protein secondary structure prediction algorithms DSC, PHD, NNSSP, and PREDATOR. The maximum theoretical Q 3 accuracy for combination of these methods is shown to be 78%. A simple consensus prediction on th

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

A binary coding method of RNA secondary

A binary coding method of RNA secondary structure and its application

✍ Bo Liao; Weiyang Chen; Xingming Sun; Wen Zhu 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 362 KB 👁 1 views

## Abstract According to the three classifications of nucleotides, we introduce a sort of binary coding method of RNA secondary structures. On the basis of this representation, we can reduce a RNA secondary structure into three binary digit sequences. We also propose coding rules based on the exclu