Prediction of lipid-interacting amino acid residues from sequence features
by Liangjiang Wang, Stephanie J. Irausquin, Jack Y. Yang
International Journal of Computational Biology and Drug Design (IJCBDD), Vol. 1, No. 1, 2008

Abstract: Proteins and lipids are integral components of cell membranes, and play important roles in cell signalling. Alterations of normal protein-lipid recognition may cause various diseases. However, molecular mechanisms underlying protein-lipid recognition are still poorly understood. In this study, we have developed a support vector machine based approach for predicting lipid-interacting residues from amino acid sequence features. To the best of our knowledge, this is the first study that applies machine learning to sequence-based prediction of lipid-interacting residues in proteins. Our study provides useful information for understanding protein lipid interactions, and may lead to advances in drug discovery.

Online publication date: Sat, 14-Jun-2008

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