The goals of the proposed research include: a) The development of methods and associated computational tools that use three-dimensional structural information to predict protein function. b) The development of methods for the integration of structural information in the generation of networks of protein- protein interactions (interactomes). c) The application of structural information in the creation of an interactome of human and tumor B-cells and the use of this network in applications to B-cell Biology. These research goals are motivated by a number of factors. First, there is a general sense that structural information, as provided for example by the Protein Structure Initiative (PSI) is not fully exploited by the wider biological community. An interactive function prediction server is being developed with this issue in mind. Second, Structural Biology has not been fully integrated into Systems Biology approaches to predict protein networks and it would be extremely valuable to try to increase the integration of the two fields. Third, human B-cell phenomena are of great biological and medical interest and there is an exciting opportunity to incorporate structural information into this field in a novel way. A central element of the approach to be taken is the use of structural alignments to reveal novel functional relationships between proteins that have been classified as belonging to different protein """"""""folds"""""""". Evidence is provided that there is a wealth of functional information in such remote relationships and computational tools to mine and visualize this information will be developed. The research design also includes the description of a novel approach to use structural alignments to identify potential protein-protein ligand, protein-protein and protein-DNA binding partners and to identify interfacial residues in the complexes they form. A novel scoring scheme for protein-protein interactions will be developed and a database of potential complexes, designed originally for human proteins, will be constructed. The database will also identify complexes that are unlikely to form. The information in this database will be incorporated into a Baysian inference scheme and used in the construction of a """"""""structure-enabled"""""""" B-cell Interactome.

Public Health Relevance

The relevance of the proposed research to public health lies in part in the insights, and accompanying methods, that will be provided about structure/function relationships in proteins. Specific applications to B-cell Biology have direct relevance to understanding a variety of B-cell related cancers.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM030518-30
Application #
7994156
Study Section
Macromolecular Structure and Function B Study Section (MSFB)
Program Officer
Wehrle, Janna P
Project Start
1981-09-01
Project End
2012-11-30
Budget Start
2010-12-01
Budget End
2011-11-30
Support Year
30
Fiscal Year
2011
Total Cost
$265,646
Indirect Cost
Name
Columbia University (N.Y.)
Department
Biochemistry
Type
Schools of Medicine
DUNS #
621889815
City
New York
State
NY
Country
United States
Zip Code
10032
Lopez-Rivera, Esther; Liu, Yangfan P; Verbitsky, Miguel et al. (2017) Genetic Drivers of Kidney Defects in the DiGeorge Syndrome. N Engl J Med 376:742-754
Hwang, Howook; Dey, Fabian; Petrey, Donald et al. (2017) Structure-based prediction of ligand-protein interactions on a genome-wide scale. Proc Natl Acad Sci U S A 114:13685-13690
Hirabayashi, Yusuke; Kwon, Seok-Kyu; Paek, Hunki et al. (2017) ER-mitochondria tethering by PDZD8 regulates Ca2+ dynamics in mammalian neurons. Science 358:623-630
Sheng, Ren; Jung, Da-Jung; Silkov, Antonina et al. (2016) Lipids Regulate Lck Protein Activity through Their Interactions with the Lck Src Homology 2 Domain. J Biol Chem 291:17639-50
Hwang, Howook; Petrey, Donald; Honig, Barry (2016) A hybrid method for protein-protein interface prediction. Protein Sci 25:159-65
Harrison, Oliver J; Brasch, Julia; Lasso, Gorka et al. (2016) Structural basis of adhesive binding by desmocollins and desmogleins. Proc Natl Acad Sci U S A 113:7160-5
Ma, Lijiang; Bayram, Yavuz; McLaughlin, Heather M et al. (2016) De novo missense variants in PPP1CB are associated with intellectual disability and congenital heart disease. Hum Genet 135:1399-1409
Park, Mi-Jeong; Sheng, Ren; Silkov, Antonina et al. (2016) SH2 Domains Serve as Lipid-Binding Modules for pTyr-Signaling Proteins. Mol Cell 62:7-20
Westphalen, C Benedikt; Takemoto, Yoshihiro; Tanaka, Takayuki et al. (2016) Dclk1 Defines Quiescent Pancreatic Progenitors that Promote Injury-Induced Regeneration and Tumorigenesis. Cell Stem Cell 18:441-55
Garzón, José Ignacio; Deng, Lei; Murray, Diana et al. (2016) A computational interactome and functional annotation for the human proteome. Elife 5:

Showing the most recent 10 out of 87 publications