RNA 3D Structure Analysis and Prediction

. Ed(s): Leontis, Neocles; Westhof, Eric

ISBN 10: 3642257399 / ISBN 13: 9783642257391

Editore: Springer, 2012

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. Editor(s): Leontis, Neocles; Westhof, Eric. Series: Nucleic Acids and Molecular Biology. Num Pages: 402 pages, biography. BIC Classification: PSAK1. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 25. Weight in Grams: 777. . 2012. 2012th Edition. hardcover. . . . . Codice articolo V9783642257391

Riassunto:

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.

Dalla quarta di copertina:

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.

Dati bibliografici

Titolo: RNA 3D Structure Analysis and Prediction
Casa editrice: Springer
Data di pubblicazione: 2012
Legatura: Rilegato
Condizione: New