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Understanding Nature Through the Symbiosis of Information Science, Bioinformatics, and Neuroinformatics Read chapter Read first chapter

2014 | OriginalPaper | Chapter

11. Protein Modeling and Structural Prediction

Authors : Sebastian Kelm, Yoonjoo Choi, Charlotte M. Deane

Published in: Springer Handbook of Bio-/Neuroinformatics

Publisher: Springer Berlin Heidelberg

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Abstract

Proteins perform crucial functions in every living cell. The genetic information in every organismʼs DNA encodes the proteinʼs amino acid sequence, which determines its three-dimensional structure, which, in turn, determines its function. In this postgenomic era, protein sequence information can be obtained relatively easily through experimental means. Sequence databases already contain millions of protein sequences and continue to grow. Structural information, however, is harder to obtain through experimental means – we currently know the structure of about 75000 proteins. Knowledge of a proteinʼs structure is extremely useful in understanding its molecular function and in developing drugs that bind to it. Thus, computational techniques have been developed to bridge the ever-increasing gap between the number of known protein sequences and structures.
In addition to proteins in general, this chapter discusses the specific importance of membrane proteins, which make up about one-third of all known proteins. Membrane proteins control communication and transport into and out of every living cell and are involved in many medically important processes. Over half of current drug targets are membrane proteins.
A brief introduction to protein sequence and structure is followed by an overview of common techniques used in the process of computational protein structure prediction. Emphasis is put on two particularly hard problems, namely protein loop modeling and the structural prediction of membrane proteins.

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Metadata
Title
Protein Modeling and Structural Prediction
Authors
Sebastian Kelm
Yoonjoo Choi
Charlotte M. Deane
Copyright Year
2014
Book
Springer Handbook of Bio-/Neuroinformatics

Print ISBN: 978-3-642-30573-3

Electronic ISBN: 978-3-642-30574-0

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-642-30574-0_11

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