Membrane Cholesterol Prediction from Cellular Receptor based on Spectral Clustering and Support Vector Machine

EasyChair Preprint no. 3726

Abstract

The researches have been made on G-protein coupled receptors (GPCRs) over the long-ago decades. GPCR is also named as 7-transmembrane (7TM) receptor. According to biological prospective GPCRs consist of large protein family with respective subfamilies and are mediated by different physiological phenomena like taste, smell, vision etc. The main functionality of these 7TM receptors is signal transduction among various cells. In human genome, cell membrane plays significant role. All cells are made up of trillion of cells and have dissimilar functionality. Cell membrane composed of different components. GPCRs are reported to be modulated by membrane cholesterol by interacting with cholesterol recognition amino acid consensus (CRAC) or reverse orientation of CRAC (CARC) motifs present in the TM helices. Among all, cholesterol is one who is regulated by membrane proteins. Here we took GPCR as membrane proteins and this protein modulates membrane cholesterol. According to cell biology, GPCR regulates a wide diversity of vital cellular processes and are targeted by a huge fraction of approved drugs. In this paper we have concentrated our investigation on membrane protein with membrane cholesterol. A hybrid algorithm consisting of spectral clustering and support vector machine is proposed for prediction of membrane cholesterol with GPCR. Spectral clustering uses graph nodes for calculating the cluster points and also it considers other concept such as similarity matrix, low-dimensional space for projecting the data points and upon this parameter at last construct the cluster centre. Supervised learning method is used for solving regression and classification problems. SVM concept is based on the decision planes so as to characterize the decision boundaries. From the analysis we found that our result shows better prediction accuracy with respect to time complexity.

Keyphrases: GPCR, Membrane cholesterol, spectral clustering, SVM, TM

@Booklet{EasyChair:3726,
  author = {Rudra Kalyan Nayak and Ramamani Tripathy and Debahuti Mishra and Amiya Kumar Rath},
  title = {Membrane Cholesterol Prediction from Cellular Receptor based on Spectral Clustering and Support Vector Machine},
  howpublished = {EasyChair Preprint no. 3726},

  year = {EasyChair, 2020}}