Invention Grant
US08370074B2 System and methods for predicting transmembrane domains in membrane proteins and mining the genome for recognizing G-protein coupled receptors
有权
用于预测膜蛋白中跨膜结构域的系统和方法，并开采用于识别G蛋白偶联受体的基因组
- Patent Title: System and methods for predicting transmembrane domains in membrane proteins and mining the genome for recognizing G-protein coupled receptors
- Patent Title (中): 用于预测膜蛋白中跨膜结构域的系统和方法，并开采用于识别G蛋白偶联受体的基因组
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Application No.: US12606605Application Date: 2009-10-27
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Publication No.: US08370074B2Publication Date: 2013-02-05
- Inventor: Rene J. Trabanino , Nagarajan Vaidehi , Spencer E. Hall , William A. Goddard , Wely Floriano
- Applicant: Rene J. Trabanino , Nagarajan Vaidehi , Spencer E. Hall , William A. Goddard , Wely Floriano
- Applicant Address: US CA Pasadena
- Assignee: California Institute of Technology
- Current Assignee: California Institute of Technology
- Current Assignee Address: US CA Pasadena
- Agency: McCarter & English, LLP
- Agent Elizabeth A. Hanley; Yu Lu
- Main IPC: G01N33/48
- IPC: G01N33/48 ; C12Q1/68 ; G06G7/58 ; G06F7/60
Abstract:
The invention provides computer-implemented methods and apparatus implementing a hierarchical protocol using multiscale molecular dynamics and molecular modeling methods to predict the presence of transmembrane regions in proteins, such as G-Protein Coupled Receptors (GPCR), and protein structural models generated according to the protocol. The protocol features a coarse grain sampling method, such as hydrophobicity analysis, to provide a fast and accurate procedure for predicting transmembrane regions. Methods and apparatus of the invention are useful to screen protein or polynucleotide databases for encoded proteins with transmembrane regions, such as GPCRs.
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