Algorithms in Structural Molecular Biology
par
Bruce R. Donald
Pas encore d'évaluations
Science & Technology
Format
Relié
Pages
429
Langue
Anglais
Publié
Jun 1, 2011
Éditeur
The MIT Press
ISBN-10
0262015595
ISBN-13
9780262015592
Description
In the realm of structural molecular biology, the intricate dance of molecules is captured through the lens of computational strategies and innovative algorithms. Within these pages, Bruce R. Donald explores the foundational principles that underscore the application of algorithms in understanding the structure and function of biomolecules. This work serves as a bridge, connecting theoretical insights with practical methodologies, allowing researchers to navigate complex biological landscapes.
As he delves into the intricacies of molecular structures, Donald highlights the significance of computational techniques in modeling, predicting, and analyzing biomolecular interactions. The reader is introduced to a variety of algorithms that enhance our comprehension of molecular dynamics, illustrating how computational tools can accommodate the myriad of variables inherent in biological systems.
The narrative is enriched with case studies that showcase the successful implementation of these algorithms in real-world scenarios, hence demonstrating their transformative potential in research and development. Each example emphasizes the synergy between computational methods and biological inquiry, revealing an exciting frontier for scientific exploration.
Ultimately, this work serves not only as a comprehensive reference for scholars and practitioners in the field, but also as an inspiring invitation to explore the uncharted territories of molecular biology through the power of algorithms.
As he delves into the intricacies of molecular structures, Donald highlights the significance of computational techniques in modeling, predicting, and analyzing biomolecular interactions. The reader is introduced to a variety of algorithms that enhance our comprehension of molecular dynamics, illustrating how computational tools can accommodate the myriad of variables inherent in biological systems.
The narrative is enriched with case studies that showcase the successful implementation of these algorithms in real-world scenarios, hence demonstrating their transformative potential in research and development. Each example emphasizes the synergy between computational methods and biological inquiry, revealing an exciting frontier for scientific exploration.
Ultimately, this work serves not only as a comprehensive reference for scholars and practitioners in the field, but also as an inspiring invitation to explore the uncharted territories of molecular biology through the power of algorithms.
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