Pioneering Algorithmic Paradigms in Computational Drug Design | Evolutionary Frameworks, Neural Networks, and Molecular Innovations

Babak Khalili Hadad (u. a.)

ISBN 10: 6208119510 / ISBN 13: 9786208119515

Published by LAP LAMBERT Academic Publishing, 2025

About this Item

Pioneering Algorithmic Paradigms in Computational Drug Design | Evolutionary Frameworks, Neural Networks, and Molecular Innovations | Babak Khalili Hadad (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208119515 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

Seller Inventory # 133835128

Bibliographic Details

• Title: Pioneering Algorithmic Paradigms in Computational Drug Design | Evolutionary Frameworks, Neural Networks, and Molecular Innovations
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2025
• Language: English
• ISBN 10: 6208119510
• ISBN 13: 9786208119515
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 21D millimeters 220 millimeters width by 150 millimeters height by 21 millimeters depth
• Weight: 536 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

About This Book:At the convergence of biology, computation, and design, this book invites the reader into a new epistemology of medicine where molecules are not only modeled but anticipated, and where algorithms do not merely analyze life, but begin to simulate its intelligence.Pioneering Algorithmic Paradigms in Computational Drug Design is a scholarly yet visionary treatise that explores how evolutionary computation, neural networks, and molecular dynamics are reshaping the architecture of drug discovery. From the structural depths of protein-ligand interactions to the abstract heights of multi-objective optimization, it offers both precision and imagination.For Readers Seeking to Ask:● Can code learn the logic of biology?● What does it mean for an algorithm to design a molecule?● Is it possible to preempt disease before biology declares it?Written not merely for those who work in science but for those who think with it this book serves as both a map and a mirror: charting the algorithmic future of pharmacology while reflecting the evolving role of the scientist in a world where life becomes legible to machines.