Alan S. Perelson, Stuart A. Kauffman

Molecular Evolution on Rugged Landscapes

Protein, RNA, and the Immune System (Volume IX)

• Broschiertes Buch

Produktbeschreibung

This book lays out a number of the general issues concerning the structure of rugged fitness landscapes and examines both the history and the current status of experimental work on somatic mutation and the maturation of the immune response.

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Produktdetails

• Verlag: CRC Press
• Seitenzahl: 328
• Erscheinungstermin: 3. Juli 1991
• Englisch
• Abmessung: 229mm x 152mm x 18mm
• Gewicht: 477g
• ISBN-13: 9780201521504
• ISBN-10: 0201521504
• Artikelnr.: 21786515

Autorenporträt

Perelson, Alan S. Kauffman, Stuart A.

Inhaltsangabe

About the Santa Fe Institute
Santa Fe Institute Editorial Board August 1989
Santa Fe Institute Studies in the Sciences of Complexity
Preface: Applied Molecular Evolution on Rugged Fitness Landscapes
Rugged Landscapes and Evolution
Optimization on Rugged Landscapes
A Spin
Glass Model of Evolution
What Can Physics Do For Biology?
Optimization of RNA Structure and Properties
Somatic Evolution of Antibody Variable
Region Genes & Maturation of the Immune Response
Affinity Maturation: A Retrospective View
Maturation through Hypermutation and Selection
Affinity Maturation on Rugged Landscapes
Maturation of the Humoral Immune Response: A Neo
Darwinian Process?
The NK Model of Rugged Fitness Landscapes and Its Application to Maturation of the Immune Response
Use of Antibodies as Molecular Mimics to Probe Intermolecular Interaction Landscapes
Affinity Maturation and Learning in Immune Networks
Auto
Anti
ldiotype and Antigen as Selective Factors Driving B
Cell Affinity Maturation in the Immune System
Somatic Mutation and the Antibody Repertoire: A Computational Model of Shape Space
Applied Molecular Evolution
Evolution of Proteins from Random Sequences: A Model for the Protein Sequence Space and an Experimental Approach
Studies in the Evolution of Biological Activity from Random Sequences
The Catalytic Potential of RNA
Origin of Life Models
Dynamics of Autocatalytic Reaction Networks