Prediction and Analysis of Protein Structures and Structure-Function Relationships

DFG funded project within the DFG priority program

Informatikmethoden zur Analyse und Interpretation großer genomischer Datenmengen

Aims

Improvement of structure prediction and analysis of structure-function relations in proteins.

Project Head

Thomas Lengauer Max Planck Institute for Informatics, Saarbrücken

Funded Researchers

Mario Albrecht Max Planck Institute for Informatics, Saarbrücken
Ingolf Sommer Max Planck Institute for Informatics, Saarbrücken

Additional Researchers

Francisco Domingues Max Planck Institute for Informatics, Saarbrücken
Oliver Sander Max Planck Institute for Informatics, Saarbrücken
Hongbo Zhu Max Planck Institute for Informatics, Saarbrücken

Time scale

January 1, 2003 - December 31, 2005

 

Description

The focus of the project is improving structure prediction and the development of computational methods for analysing structure-function relationships. This encomprises several subtopics:

The enhancement of profile- and potential-based structure prediction methods. The combination of several individual methods into one more powerful methods. The development of better confidence measures for prediction methods.

Identification of structural building blocks in proteins - as a means of improving structure prediction as well as a basis for analyzing function.

Application of the developped prediction methods to concrete biological often medically relevant problems.

Web-Services Related to this Project

The Arby protein structure prediction server.

The STRuster server for the analysis of alternate structural models.

Our page on structure and function prediction of medically relevant proteins.