RNA 3D Structure Analysis and Prediction (Hardcover)

Neocles Leontis

ISBN 10: 3642257399 / ISBN 13: 9783642257391

Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2012

Beschreibung

Hardcover. 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. With the dramatic increase in RNA 3D structure determination in recent years, we now know that RNA molecules are highly structured. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Bestandsnummer des Verkäufers 9783642257391

Bibliografische Details

• Titel: RNA 3D Structure Analysis and Prediction (Hardcover)
• Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin
• Erscheinungsjahr: 2012
• Sprache: Englisch
• ISBN-10: 3642257399
• ISBN-13: 9783642257391
• Einband: Hardcover
• Zustand: new

Über diesen Titel

Inhaltsangabe

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.