用于鉴定人GPCR的SVM模型
SVM Model for Identification of human GPCRs
摘要：
G蛋白偶联受体（GPCR）是真核生物中一类广泛存在的细胞表面受体，具有7个跨膜α-螺旋结构域。GPCR通常分为几个功能不同的家族，在细胞信号传导和基本生理过程的调节中发挥关键作用。我们可以根据这些共同特征开发统计模型，用于蛋白质分类，预测新成员，并研究该蛋白质功能组的序列-功能关系。在这项研究中，基于支持向量机的分类模型已被开发用于识别人类gpcr序列。以A类视紫红质的1级亚家族序列为例进行研究。在本研究中，已作出的尝试，GPCR的物种的基础上进行分类。本研究将人类gpcr序列与GPCRDB中可用的其他物种进行分类。分类是基于来自序列的n-末端和细胞外环的特定信息，相应gpcr序列的一些物理化学性质和氨基酸组成。我们的方法以94%的准确率对GPCR的1级亚家族进行分类。
英文摘要：
G-protein coupled receptors (GPCRs) constitute a broad class of cell-surface receptors in eukaryotes and they possess seven transmembrane a-helical domains. GPCRs are usually classified into several functionally distinct families that play a key role in cellular signalling and regulation of basic physiological processes. We can develop statistical models based on these common features that can be used to classify proteins, to predict new members, and to study the sequence-function relationship of this protein function group. In this study, SVM based classification model has been developed for the identification of human gpcr sequences. Sequences of Level 1 subfamilies of Class A rhodopsin is considered as case study. In the present study, an attempt has been made to classify GPCRs on the basis of species. The present study classifies human gpcr sequences with rest of the species available in GPCRDB. Classification is based on specific information derived from the n-terminal and extracellular loops of the sequences, some physicochemical properties and amino acid composition of corresponding gpcr sequences. Our method classifies Level 1 subfamilies of GPCRs with 94% accuracy.
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