CBS >> CBS Prediction Servers >> CPHmodels

CPHmodels 1.0 Server

Please note that this is an old version of CPHmodels. The current version can be found at:

http://www.cbs.dtu.dk/services/CPHmodels/

Prediction of protein structure

CPHmodels is a collection of databases and methods developed to predict protein structure. The main server, CPHmodels, can be accessed from this page. It performs prediction of protein structure using comparative (homology) modelling.

The other tools are as follows:

DistanceP	A neural network based method to predict contacts between C-alpha atoms from the amino acid sequence (formerly SoWhat).
RedHom	A tool to find a subset with low sequence similarity in a database.

Output format

Article abstract

Databases

SUBMISSION

Sequence name

Sequence (only one, in one-letter code)

Restrictions:
Not more than 900 amino acids in the input sequence.
Confidentiality:
The sequences are kept confidential and will be deleted after processing.

CITATIONS:

For publication of results, please cite:
Protein distance constraints predicted by neural networks and probability density functions.
O. Lund, K. Frimand, J. Gorodkin, H. Bohr, J. Bohr, J. Hansen and S. Brunak.
Protein Engineering: 10:1241-1248, 1997.
View the abstract.
O. Lund et al., unpublished results.

GETTING HELP

Scientific problems: Technical problems:

This file was last modified Friday 15th of October 2004 15:19:04 GMT