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
Simplified Protein Models: Predicting Folding Pathways and Structure Using Amino Acid Sequences
โ Scribed by Adhikari, Aashish N.; Freed, Karl F.; Sosnick, Tobin R.
- Book ID
- 120542544
- Publisher
- The American Physical Society
- Year
- 2013
- Tongue
- English
- Weight
- 744 KB
- Volume
- 111
- Category
- Article
- ISSN
- 0031-9007
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Homology or comparative modeling is aimed at modeling the three-dimensional structure of a target sequence of unknown structure using the framework of an already known fold. Traditionally, homology modeling has been applied to targets with clear sequence similarity to proteins of known structure. Be
## Abstract One of the most important challenges in computational and molecular biology is to understand the relationship between amino acid sequences and the folding rates of proteins. Recent works suggest that topological parameters, amino acid properties, chain length and the composition index r