๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

New Methods to Improve Protein Structure Prediction and Refinement

โœ Scribed by Kloczkowski, Andrzej; Gniewek, Pawel; Faraggi, Eshel; Zimmermann, Michael; Gront, Dominik; Pawlowski, Marcin; Jernigan, Robert L.; Kolinski, Andrzej


Book ID
122107522
Publisher
Biophysical Society
Year
2013
Tongue
English
Weight
36 KB
Volume
104
Category
Article
ISSN
0006-3495

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


New methods for accurate prediction of p
โœ John-Marc Chandonia; Martin Karplus ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 122 KB ๐Ÿ‘ 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

Computational methods in protein structu
โœ C.A. Floudas ๐Ÿ“‚ Article ๐Ÿ“… 2007 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 210 KB ๐Ÿ‘ 2 views

## Abstract This review presents the advances in protein structure prediction from the computational methods perspective. The approaches are classified into four major categories: comparative modeling, fold recognition, first principles methods that employ database information, and first principles