RNA 3D Structure Analysis and Prediction

Eric Westhof

ISBN 10: 3642445691 / ISBN 13: 9783642445699

Published by Springer Berlin Heidelberg Jun 2014, 2014

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -With the dramatic increase in RNA 3D structure determination in recent years, we now know that RNA molecules are highly structured. Moreover, knowledge of RNA 3D structures has proven crucial for understanding in atomic detail how they carry out their biological functions. Because of the huge number of potentially important RNA molecules in biology, many more than can be studied experimentally, we need theoretical approaches for predicting 3D structures on the basis of sequences alone. This volume provides a comprehensive overview of current progress in the field by leading practitioners employing a variety of methods to model RNA 3D structures by homology, by fragment assembly, and by de novo energy and knowledge-based approaches. 412 pp. Englisch.

Seller Inventory # 9783642445699

Bibliographic Details

• Title: RNA 3D Structure Analysis and Prediction
• Publisher: Springer Berlin Heidelberg Jun 2014
• Publication Date: 2014
• Language: English
• ISBN 10: 3642445691
• ISBN 13: 9783642445699
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 23D millimeters 235 millimeters width by 155 millimeters height by 23 millimeters depth
• Weight: 622 grams

About this title

Synopsis

With the dramatic increase in RNA 3D structure determination in recent years, we now know that RNA molecules are highly structured. Moreover, knowledge of RNA 3D structures has proven crucial for understanding in atomic detail how they carry out their biological functions. Because of the huge number of potentially important RNA molecules in biology, many more than can be studied experimentally, we need theoretical approaches for predicting 3D structures on the basis of sequences alone. This volume provides a comprehensive overview of current progress in the field by leading practitioners employing a variety of methods to model RNA 3D structures by homology, by fragment assembly, and by de novo energy and knowledge-based approaches.