Fr. 66.00

Biophysics of DNA

Inglese · Tascabile

Spedizione di solito entro 3 a 5 settimane

Descrizione

Ulteriori informazioni










This book surveys the last sixty years of research in the rapidly advancing field of DNA biophysics, addressing key questions and facilitating further research.

Sommario










Preface; 1. DNA structures; 2. Conformational transitions; 3. Equilibrium large-scale conformational properties of DNA; 4. DNA dynamics; 5. DNA-protein interaction; 6. Circular DNA; Index.

Info autore

Alexander Vologodskii began his research career as a theorist, pioneering theoretical studies of knots and links in circular DNA and designing statistical mechanical models and computational methods to predict the appearance of alternative structures in supercoiled DNA. He later ran a research lab at New York University, where he made important contributions to topics related to DNA topology and supercoiling, DNA topoisomerases, and to the physics of DNA bending.

Riassunto

Designed to enable students and researchers of molecular biology, biochemistry and physics to better understand the biophysics of DNA, this text surveys the very latest research. The author integrates theoretical and experimental approaches, emphasizing the importance of quantitative knowledge of physical properties in building and analyzing models of DNA functioning.

Dettagli sul prodotto

Autori Alexander Vologodskii, Alexander (New York University) Vologodskii, Vologodskii Alexander
Editore Cambridge Academic
 
Lingue Inglese
Formato Tascabile
Pubblicazione 30.06.2021
 
EAN 9781009045810
ISBN 978-1-009-04581-0
Dimensioni 170 mm x 244 mm x 15 mm
Peso 490 g
Illustrazioni 155 b/w illus. 16 colour illus. 9 tables, Zeichnungen, schwarz-weiss, Raster,schwarz-weiss, Raster, nicht spezifiziert, Tabellen, schwarz-weiss, Worked examples or Exercises
Categorie Scienze naturali, medicina, informatica, tecnica > Biologia > Biochimica, biofisica

SCIENCE / Life Sciences / Biophysics, Physics, Biophysics, Genetics (non-medical), Mathematics & science, Computational biology / bioinformatics

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