Name: Structural Bioinformatics: An Algorithmic Approach (en Inglés)
Price: 431.72 PEN
Availability: InStock
Author: Burkowski, Forbes J.
ISBN: 9781584886839

portada Structural Bioinformatics: An Algorithmic Approach (en Inglés)

Formato

Libro Físico

Autor

Forbes J. Burkowski

Editorial

CRC Press

Idioma

Inglés

N° páginas

442

Encuadernación

Tapa Dura

Dimensiones

23.6 x 15.7 x 2.5 cm

Peso

0.75 kg.

ISBN

1584886838

ISBN13

9781584886839

Categorías

Matemáticas aplicadas
Biología
Biotecnología

Structural Bioinformatics: An Algorithmic Approach (en Inglés)

Forbes J. Burkowski (Autor) · CRC Press · Tapa Dura

Libro Físico

S/ 431,72

S/ 863,44

Ahorras: S/ 431,72

50% descuento

Envío normal

Origen: Reino Unido (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Viernes 19 de Julio y el Lunes 05 de Agosto.

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Reseña del libro "Structural Bioinformatics: An Algorithmic Approach (en Inglés)"

The Beauty of Protein Structures and the Mathematics behind Structural BioinformaticsProviding the framework for a one-semester undergraduate course, Structural Bioinformatics: An Algorithmic Approach shows how to apply key algorithms to solve problems related to macromolecular structure.Helps Students Go Further in Their Study of Structural BiologyFollowing some introductory material in the first few chapters, the text solves the longest common subsequence problem using dynamic programming and explains the science models for the Nussinov and MFOLD algorithms. It then reviews sequence alignment, along with the basic mathematical calculations needed for measuring the geometric properties of macromolecules. After looking at how coordinate transformations facilitate the translation and rotation of molecules in a 3D space, the author introduces structural comparison techniques, superposition algorithms, and algorithms that compare relationships within a protein. The final chapter explores how regression and classification are becoming more useful in protein analysis and drug design.At the Crossroads of Biology, Mathematics, and Computer ScienceConnecting biology, mathematics, and computer science, this practical text presents various bioinformatics topics and problems within a scientific methodology that emphasizes nature (the source of empirical observations), science (the mathematical modeling of the natural process), and computation (the science of calculating predictions and mathematical objects based on mathematical models).