Generative AI for Molecular Drug Design with Python: Diffusion Models, VAEs, GANs, and Transformers for Computational Chemistry - Couverture souple

Arden, Livia

 
9798249319229: Generative AI for Molecular Drug Design with Python: Diffusion Models, VAEs, GANs, and Transformers for Computational Chemistry
Couverture souple
ISBN 13 : 9798249319229
Editeur : Independently published, 2026

Synopsis

Reactive Publishing

Artificial intelligence is reshaping pharmaceutical research by enabling the computational generation of novel molecular structures. Generative AI for Molecular Drug Design with Python provides a technical, implementation-focused guide to building and evaluating generative models for small-molecule discovery.

This book bridges machine learning engineering and computational chemistry. It explores how modern generative architectures can be applied to molecular representation, property prediction, and candidate generation using Python-based tooling.

Topics include:

  • Molecular representations: SMILES, graphs, embeddings, and chemical descriptors

  • Variational Autoencoders (VAEs) for latent space exploration

  • Generative Adversarial Networks (GANs) for molecular synthesis

  • Diffusion models for structure generation and refinement

  • Transformer architectures applied to sequence-based chemical modeling

  • Dataset preparation, validation, and chemical constraint enforcement

  • Evaluating novelty, validity, and synthesizability

  • Integrating generative models into drug discovery workflows

Practical examples leverage PyTorch and common cheminformatics libraries to demonstrate end-to-end model development, from dataset preprocessing to molecular sampling and evaluation.

Designed for quantitative researchers, ML engineers, computational chemists, and advanced students, this book focuses on implementation depth rather than high-level theory alone. Readers should have prior familiarity with Python and foundational machine learning concepts.

The result is a rigorous, systems-level guide to applying generative AI in modern drug design pipelines.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Independently published
Date d'édition
2026
Langue
anglais
ISBN 13 
9798249319229
Reliure
Broché
Nombre de pages
574
Éditeur
Munrow Danny
Coordonnées du fabricant
Manufactured by Amazon on behalf of the author
https://www.amazon.fr/hz/contact-us

c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy
Luxembourg
L-1855
Luxembourg