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Abstract

Grant Number:	5R01GM083107-02
Project Title:	I-TASSER based atomic-level protein structure prediction

PI Information:	Name	Email	Title
	ZHANG, YANG	zhng@umich.edu

Abstract: DESCRIPTION (provided by applicant): Project Summary: Recent years' CASP experiments have seen significant progress on computer-based protein tertiary structure prediction. The state-of-the-art algorithms, such as TASSER, can generate correct folds for 2/3 of single domain proteins without using homologous templates. Most of the models are of low resolution with a root mean square deviation (RMSD) 3-6 Angstroms, which may be useful for protein topology analysis and some level of biological function inference. However, such models are not suitable for reliable ligand screening. The proposed research seeks to develop new methodologies for the atomic-level high-resolution protein structure modeling. The specific aims are: (1) development of a new algorithm, atom-TASSER, for atomic-level protein structure modeling; (2) development of a two-level composite potential for both the low-resolution topology construction and the high-resolution refinement; (3) force field optimization in both structure and sequence phase spaces; (4) large-scale benchmarking of atom-TASSER algorithm. Overall, these studies are designed to extend the range of validity of the reduced modeling approaches, and provide significant improvements in the state-of-the-art of tertiary structure prediction. The goal is to push up the level of accuracy of computer-based modeling, especially for the distant/weakly homologous proteins, so that they can be of real use to new drug screening and biochemical functional inference.

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Institution:	UNIVERSITY OF KANSAS LAWRENCE
	2385 IRVING HILL ROAD
	LAWRENCE, KS 660457568
Fiscal Year:	2009
Department:	CENTER FOR BIOINFORMATICS
Project Start:	01-APR-2008
Project End:	31-MAR-2013
ICD:	NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
IRG:	MSFD

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