𝔖 Bobbio Scriptorium
✦   LIBER   ✦

An evolutionary method for learning HMM structure: prediction of protein secondary structure

✍ Scribed by Kyoung-Jae Won; Thomas Hamelryck; Adam Prügel-Bennett; Anders Krogh

Book ID
115000935
Publisher
BioMed Central
Year
2007
Tongue
English
Weight
420 KB
Volume
8
Category
Article
ISSN
1471-2105

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

New methods for accurate prediction of p
New methods for accurate prediction of protein secondary structure
✍ John-Marc Chandonia; Martin Karplus 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 122 KB 👁 2 views

A primary and a secondary neural network are applied to secondary structure and structural class prediction for a database of 681 non-homologous protein chains. A new method of decoding the outputs of the secondary structure prediction network is used to produce an estimate of the probability of fin

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