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Produktbild: Artificial Intelligence-Driven Drug Discovery
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Artificial Intelligence-Driven Drug Discovery Principles, Methods, and Applications

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

07.02.2027

Abbildungen

X, 400 p. 35 illus., 34 illus. in color.

Herausgeber

Jian Zhang + weitere

Verlag

Springer Singapore

Seitenzahl

400

Maße (L/B)

25,4/17,8 cm

Sprache

Englisch

ISBN

978-981-9226-95-5

Beschreibung

Portrait

Jian Zhang is a Professor at the Shanghai Jiaotong University School of Medicine, China. His research interests include the development of AI algorithom on target identification and drug design, as well as first-in-class drug discovery. He has served on the associated editor of RSC Medicinal Chemistry since 2022 and on the editorial board of Medicinal Research Review and Aging Cell since 2025.

Shuangjia Zheng  is a Assistant Professor at the Shanghai Jiaotong University, China. His research focuses primarily on the intersection of generative artificial intelligence and drug design. He has been selected as a Shangsi Exploration Scholar, a recipient of the Asian Young Scientists Fund Project, a Forbes Asia 30 Under 30 list, and a member of the Shanghai Morning Light Program.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

07.02.2027

Abbildungen

X, 400 p. 35 illus., 34 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

400

Maße (L/B)

25,4/17,8 cm

Sprache

Englisch

ISBN

978-981-9226-95-5

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Artificial Intelligence-Driven Drug Discovery
  • Chapter 1. AI-Driven Drug Design: New Hopes and Challenges.- Chapter 2. AI-Driven Drug Design: A Brief History of Artificial Intelligence.- Chapter 3. AI-Driven Drug Design: Diffusion Models for Protein Design.- Chapter 4. AI-Driven Drug Design: Large Scale Language Models for Biomedical Research.- Chapter 5. AI-Driven Drug Design: Diffusion-Based Generative Models.- Chapter 6. AI-Driven Drug Design: Reinforcement Learning and Guided Generation.- Chapter 7. AI-driven Diverse Protein Conformational States Sampling and Drug Design.- Chapter 8. AI-Driven Drug Design:AI-Driven Prediction of Drug ADMET Properties.- Chapter 9. AI-Driven Drug Design: Deep Learning for Virtual Screening.- Chapter 10. AI-Driven Drug Design: Structure based de novo drug design through AI generative models.- Chapter 11. AI-Driven Drug Design: Protein Language Model and Application.- Chapter 12. AI-Driven Drug Design: De novo Protein Binder Design with Generative Models.- Chapter 13. AI-Driven Drug Design:Large-scale Pretrained Antibody Language Model.- Chapter 14. AI-Driven Drug Design: Antibody-Antigen Complex Structure Prediction.- Chapter 15. AI-Driven Drug Design: Genertive AI for Antibody Design.- Chapter 16. AI-Driven Drug Design: Peptide Design with Generative AI.- Chapter 17. AI-Driven Drug Design: Large-Scale Foundation Models and Applications for Life Science.- Chapter 18. AI-Driven Drug Design: Foundation Models for Drug Discovery.- Chapter 19. AI-Driven Drug Design: Future Trends in AI and Potential.