SBIR/STTR Research Award

Docking Protein Densities

Award identifier aaf7b2799899f791018bb12adf41d15ae7113cfba0d9efef2428ec8a0f076c5dAwarding agency Department of Health and Human Services

Award amount

$190,000

Program and phase

SBIR · Phase II

Award year

1996

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Award details

Awarding agency
Department of Health and Human Services
Branch
Not reported
Recipient company
Michael L Connolly
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

The structure of protein assemblies is largely determined by non-covalent interactions betweenproteins. The importance of shape complementarity of interacting molecular surfaces is generallyrecognized, but it is not easily studied, due to difficulties in quantifying shape. This proposal will developmethods for (1) characterizing the shape of protein surfaces, and (2) predicting complexes betweenproteins of known three-dimensional structure. The methods will be designed to work, even if thesurface amino acid side chains have indeterminate orientation, as is often the case in proteincrystallographic studies. Conformational flexibility will be modeled as partial occupancy (density) on athree-dimensional grid. The side chains' averaged density will be used for shape measurement. Areliable protein-docking computer program will be a quicker and less expensive means to study a proteinassociation than an x-ray crystallographic experimental study of the complex. Applications include: (1)predicting how a monoclonal antibody binds to its protein antigen, (2) the assembly of viral coat proteinmonomers into capsides, and (3) the genetic disease sickle cell anemia, where hemoglobin monomersassociate in an incorrect way. The software developed will be licensed to academic, governmental andindustry scientists researching the molecular basis of disease.

Technology keywords

Not reported

Agency intelligence

Department of Health and Human Services

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