AutoStructure: Automated Determination of Protein Structures from NMR Data

Introduction | Download  |  References Manual | Photo Gallery


Introduction
AutoStructure is a rule-based expert system, which automatically determines protein structures from NMR data using various analysis rules generalized from basic procedures developed by human experts.  AutoStructure generate a reliable protein fold using intelligent analysis methods based on spectrum-specific properties and the iterative identification of self-consistent NOE contact patterns, without using any 3D structure model.

The software identifies secondary structures, including alignments between beta-strands, based upon the combine pattern analysis of secondary structure specific NOE contacts, chemical shift, scalar coupling constant, and slow amide proton exchange data.

The software generates conformational constraints (e.g. distance, dihedral angle and hydrogen bond constraints) automatically and submits parallel DYANA structure calculations to an array of Pentium III processors.  The resulting structure is then automatically-refined by iterative cycles of assigning self-consistent NOESY cross peaks and regeneration of the protein structure with parallel DYANA calculation.


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References
Y.J. Huang et at. Automated determination of protein structures from NMR data by iterative analysis of self-consistent contact patterns (In preparation)

Manual 
 
AutoStruture-1.0

AutoStruture-1.1 (last updated Oct. 02, 2002)


Photo Gallery

Protein Structures determined using AutoStructure

 
FGF-2 (155 a.a.)
Basic fibroblast growth factor

1IHQ
Glytm1Bzip (38 a.a. in each chain)
A Chimeric Peptide Model Of The N-Terminus Of A Rat Short Tropomyosin With The N-Terminus Encoded By Exon 1B
Greenfield et al, J Mol. Biol. (2001) 312:833-847

1L7B
WR64Tt (92 a.a.) - NESG target 

1KKG
WR90Ec (108 a.a.) - NESG target
RNA binding protein


yphuang@cabm.rutgers.edu