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Graphic Encoding of Macromolecules for Efficient High-Throughput Analysis

技術優勢

Novelprotein encoding technique for molecular classification Potentialto track the behavior of a protein in real-timePerformshigh throughput protein function prediction Exposes intra- and inter-molecular structural patterns in ascalable wayApplicationsin protein modeling, research, high-throughput analytics

詳細技術說明

A powerful system for protein modeling and analysis.

*Abstract

Thistechnique extracts structural information from macromolecules and represents itas a codified image/protein. In this way, protein analysis is transformed intoa more computationally tractable image pattern. A generalizable and homogeneousrepresentation of macromolecules explicitly encode tertiary structural motifsand its proximity. Large-scale analysis can be used to identify inter-molecularpatterns that may signal function, interaction, and homology in a broadersense. 

*Background

Proteins are macromolecules composed of sequences ofamino acids called residues. The sequence of carbon, nitrogen and oxygen atomsare the protein’s backbone. Depending on the particular backbone, environmentinteraction, and amino acid sequence, a protein folds into a three-dimensionalstructure to function. However, experimentally determining the functions ofthese proteins is expensive and time consuming. The function of a proteindirectly depends on its three-dimensional structure, computational protein functionprediction, and protein analysis, which is therefore limited by the expressivenessand complexity of the protein representation formats. State of the art proteinrepresentations are complex and lack homogeneity when comparing multipleproteins. Inherent differences between the proteins (length, combination andlocation of folds, and folding conformations) are challenges for representationin a computationally homogeneous fashion. Partial structural representationsand homologous alignments are computationally expensive and do not scale withthe number of molecules. Thus, there exists a present need for the ability torepresent heterogeneous macromolecules in a homogenous, easy-to-compare, andeasy to analyze format to enhance high throughput molecular analysis.

*Inquiry

STC has filed intellectual property on this exciting new technology and is currently exploring commercialization options. If you are interested in information about this or other technologies, please contact Arlene Mirabal at amirabal@stc.unm.edu or 505-272-7886.

國家/地區

美國