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SYSTEMS AND METHODS FOR PREDICTING TRANSMEMBRANE DOMAINS IN MEMBRANE PROTEINS AND MINING THE GENOME FOR RECOGNIZING G-PROTEIN COUPLED RECEPTORS

机译:预测膜蛋白中跨膜域并挖掘基因组以识别G蛋白偶联受体的系统和方法

摘要

The invention provides computer-implemented methods and apparatus implementing a protocol using 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.
机译:本发明提供了使用分子建模方法来预测蛋白质中诸如G-蛋白质偶联受体(GPCR)的蛋白质中跨膜区域的存在的计算机实施的方法和装置,以及根据该协议生成的蛋白质结构模型。该协议具有粗粒采样方法,例如疏水性分析,可为预测跨膜区域提供快速而准确的程序。本发明的方法和设备可用于筛选蛋白质或多核苷酸数据库中具有跨膜区域的编码蛋白质,例如GPCR。

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