Our long-term objectives are to develop robust algorithms that can predict protein tertiary structure and the quaternary structure of DNA-protein complexes and to apply the methodology to important proteomes. Protein structures are important because they can assist in the elucidation of protein function. This is essential as the functions of roughly half the proteins in a given proteome are unknown. The proposed research builds on the recently developed and promising TASSER structure prediction algorithm that employs threading identified templates to provide continuous structural fragments and predicted tertiary contacts followed by fold assembly/refinement protocols. TASSER provides reasonable models for -70% of the single domain proteins that are weakly homologous to proteins with solved structures and often provides a significant improvement over the input threading alignment. To extend this approach and to address identified weaknesses, the following Specific Aims are proposed: (1) For single domain proteins, the performance of TASSER in the template free limit will be improved. At present, this is the major weakness of TASSER. (2) TASSER will be extended to better predict the tertiary structure of membrane proteins. (3)TASSER will be extended to explicitly include prosthetic groups, metal ions and small ligands in the protein modeling procedure, with the goal of producing more accurate structural predictions. (4) TASSER will be extended to better treat multidomain proteins. Currently, prediction success depends on whether the domain orientations in the target and template structures are similar. (5) TASSER will be extended to predict the structure of proteins bound to DNA. Then, we shall apply a recently developed algorithm that predicts whether a protein will bind DNA, and if so, model the structure of the DNA-protein complex, ultimately on a proteomic scale. (6) The effect of alternative splicing on the structure of single domain proteins will be explored. (7) Tertiary structure prediction of proteins less than 300 residues in length in a large number of proteomes will be done.
Specific Aims 1 -5represent methodological advances, whereas Specific Aims 6 &1 are designed to apply the improved TASSER algorithm to biologically important problems. For all Specific Aims, comprehensive benchmarking that includes participation in future CASPs will be done. All developed algorithms, tools, and results will be made available on our website, http://cssb.biology.gatech.edu/skolnick/.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM037408-22
Application #
7682956
Study Section
Special Emphasis Panel (ZRG1-BCMB-B (02))
Program Officer
Wehrle, Janna P
Project Start
1986-12-01
Project End
2011-08-31
Budget Start
2009-09-01
Budget End
2010-08-31
Support Year
22
Fiscal Year
2009
Total Cost
$270,540
Indirect Cost
Name
Georgia Institute of Technology
Department
Biology
Type
Schools of Arts and Sciences
DUNS #
097394084
City
Atlanta
State
GA
Country
United States
Zip Code
30332
Zhou, Hongyi; Gao, Mu; Skolnick, Jeffrey (2016) ENTPRISE: An Algorithm for Predicting Human Disease-Associated Amino Acid Substitutions from Sequence Entropy and Predicted Protein Structures. PLoS One 11:e0150965
Gao, Mu; Zhou, Hongyi; Skolnick, Jeffrey (2015) Insights into Disease-Associated Mutations in the Human Proteome through Protein Structural Analysis. Structure 23:1362-9
Roy, Ambrish; Srinivasan, Bharath; Skolnick, Jeffrey (2015) PoLi: A Virtual Screening Pipeline Based on Template Pocket and Ligand Similarity. J Chem Inf Model 55:1757-70
Roy, Ambrish; Skolnick, Jeffrey (2015) LIGSIFT: an open-source tool for ligand structural alignment and virtual screening. Bioinformatics 31:539-44
Zhou, Hongyi; Gao, Mu; Skolnick, Jeffrey (2015) Comprehensive prediction of drug-protein interactions and side effects for the human proteome. Sci Rep 5:11090
Skolnick, Jeffrey; Gao, Mu; Roy, Ambrish et al. (2015) Implications of the small number of distinct ligand binding pockets in proteins for drug discovery, evolution and biochemical function. Bioorg Med Chem Lett 25:1163-70
Srinivasan, Bharath; Skolnick, Jeffrey (2015) Insights into the slow-onset tight-binding inhibition of Escherichia coli dihydrofolate reductase: detailed mechanistic characterization of pyrrolo [3,2-f] quinazoline-1,3-diamine and its derivatives as novel tight-binding inhibitors. FEBS J 282:1922-38
Tonddast-Navaei, Sam; Skolnick, Jeffrey (2015) Are protein-protein interfaces special regions on a protein's surface? J Chem Phys 143:243149
Srinivasan, Bharath; Tonddast-Navaei, Sam; Skolnick, Jeffrey (2015) Ligand binding studies, preliminary structure-activity relationship and detailed mechanistic characterization of 1-phenyl-6,6-dimethyl-1,3,5-triazine-2,4-diamine derivatives as inhibitors of Escherichia coli dihydrofolate reductase. Eur J Med Chem 103:600-14
Boles, Richard G; Hornung, Holly A; Moody, Alastair E et al. (2015) Hurt, tired and queasy: Specific variants in the ATPase domain of the TRAP1 mitochondrial chaperone are associated with common, chronic ""functional"" symptomatology including pain, fatigue and gastrointestinal dysmotility. Mitochondrion 23:64-70

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