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Computational Protein Localization Prediction
Topological Models of Transmembrane Proteins for Localization Prediction
Angielski
193 b
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239.30
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45.49
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87.29
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Proteins are distributed to the organelles of the§cell by a highly complex sorting machinery. Since§experimental localization techniques are time§consuming and expensive, various computational§techniques to predict the subcellular localization of§proteins have been developed. This book describes the§biological signals and mechanisms that guide protein§localization, and the computational methods employed§for localization prediction. The focus is thereby on§transmembrane proteins, an important class of§proteins that are inserted into the membranes of the§cell. Different topological models of transmembrane§proteins, utilizing Support Vector Machines, Hidden§Markov Models and Conditional Random Fields, are§studied and their prediction performances are§evaluated. The methods described in this book should§be of interest to all researchers working in the§field of protein localization prediction.
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