Name: A Computational Framework for Linking Active-Site Dynamics to Enzyme Promiscuity (en Inglés)
SKU: 66892255
Price: 178.95 PEN
Availability: InStock
Author: Hapani Nitya
ISBN: 9789999335393

portada A Computational Framework for Linking Active-Site Dynamics to Enzyme Promiscuity (en Inglés)

A Computational Framework for Linking Active-Site Dynamics to Enzyme Promiscuity (en Inglés)

Formato

Libro Físico

Editorial

Eliva Press

Autor

Hapani Nitya

Idioma

Inglés

Encuadernación

Tapa Blanda

ISBN13

9789999335393

A Computational Framework for Linking Active-Site Dynamics to Enzyme Promiscuity (en Inglés)

Hapani Nitya (Autor) · Eliva Press · Tapa Blanda

Más barato Libro Nuevo Importado

Envío: 15 a 20 días háb.

S/ 397,68S/ 178,95

-55%

Más rápido Libro Nuevo Importado

Envío: 14 a 18 días háb.

S/ 417,53S/ 208,77

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo Más barato

Quedan 100 unidades

S/ 178,95

Llega entre el 07 Oct y el 16 Oct a CERCADO DE LIMA, Lima. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "A Computational Framework for Linking Active-Site Dynamics to Enzyme Promiscuity (en Inglés)"

Why do some enzymes perform only one reaction, while others quietly catalyse many? For decades, scientists have suspected that protein motion holds the answer; but attempts to link flexibility to function have remained frustratingly imprecise. This book offers a decisive shift in perspective. Rather than treating enzymes as whole, moving objects, A Computational Framework for Linking Active-Site Dynamics to Enzyme Promiscuity focuses attention where catalysis actually happens: the active site. Through large-scale molecular dynamics simulations and rigorous statistical analysis across diverse enzyme classes, the author introduces the Active-Site Flexibility Index (AFI) - a quantitative framework that isolates local dynamic tolerance within catalytic microenvironments. By demonstrating that AFI consistently outperforms traditional flexibility metrics in predicting substrate breadth, this work resolves a long-standing contradiction in computational enzymology.