Produktbild: Artificial Intelligence in Drug Discovery for Neglected and Rare Diseases
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Artificial Intelligence in Drug Discovery for Neglected and Rare Diseases

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

28.10.2026

Abbildungen

XXIII, 323 p. 21 illus., 20 illus. in color.

Herausgeber

Geeta Deswal + weitere

Verlag

Springer Singapore

Seitenzahl

323

Maße (L/B)

23,5/15,5 cm

Sprache

Englisch

ISBN

978-981-9214-30-3

Beschreibung

Portrait

Dr. Geeta Deswal, is currently serving as Professor (Pharmacognosy) at Guru Gobind Singh College of Pharmacy, Yamuna Nagar, Haryana, India. She completed her bachelor’s degree from Kurukshetra University, Kurukshetra, Haryana, India and obtained her master’s and Ph.D. degrees from M.M. University, Mullana, Haryana, India. Her research expertise lies in bioactivity-guided extraction, phytochemical screening, herbal formulation standardization, and plant tissue culture techniques, with notable contributions to in silico molecular docking and AI-driven screening of phytoconstituents for therapeutic applications. She owns to her credit 50 publications in national and international journals of repute, 20 book chapters and 15 books. She received the Young Achiever Award on Occasion of Pharma Vision 2K25 by Shree Balaji Books and Innovational Ambassador by MHRD Innovational Cell, AICTE, New Delhi.

Dr. Ajmer Singh Grewal, is currently serving as Professor (Pharmaceutical Chemistry) at Guru Gobind Singh College of Pharmacy, Yamuna Nagar, Haryana, India, is having academic and research experience of 13+ years in medicinal chemistry. He had completed PhD in Pharmaceutical Sciences in the subject area of Computational and Medicinal Chemistry from I.K. Gujral Punjab Technical University, Jalandhar, Punjab (India) in 2019. He is a leading expert in computational chemistry, molecular modeling, and computer-aided drug design (CADD). His research focuses on structure-based drug design, virtual screening, ligand docking, and QSAR studies, utilizing AI and ML-driven computational tools such as AutoDock Vina, MOE, PyMOL, SwissADME, pKCSM, and Schrodinger Suite. His applications in diabetes, cancer, inflammation, and antimicrobial resistance have significantly contributed to pharmaceutical sciences. He owns to his credit more than 120 publications in national and international journals of repute, 25 book chapters, 20 books, 6 patents and 3 designs.

Dr. Manju Singh Rawat, is currently working as Professor at the University Institute of Pharmacy, Pt. Ravishankar Shukla University, Raipur, Chhattisgarh, India. She is a distinguished researcher in pharmaceutical sciences, specializing in nanotechnology-based drug delivery, dermatokinetics, and computational formulation optimization. With over a decade of experience in academia and research, she has significantly contributed to the field of biopolymeric carriers, dermal and transdermal drug delivery systems, and AI-driven predictive modeling for pharmaceutical formulations. She has authored 127+ research papers, book chapters, and keynote presentations, with notable publications in Elsevier and CRC Press. She has successfully led multiple funded research projects focusing on novel drug delivery systems, particularly for psoriasis and protein therapeutics. Dr. Singh’s expertise extends to advanced computational tools like Design Expert software for formulation optimization, enhancing precision in pharmaceutical development. Her contributions to the field, including innovative patent applications and numerous international conference presentations, position her as a thought leader in modern drug delivery and pharmaceutical biotechnology.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

28.10.2026

Abbildungen

XXIII, 323 p. 21 illus., 20 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

323

Maße (L/B)

23,5/15,5 cm

Sprache

Englisch

ISBN

978-981-9214-30-3

Herstelleradresse

Springer Singapore
No. 12-2F 101 Business Park
47100 Puchong, Selangor D.E.
MY
Email: sdc-bookservice@springer.com
Telephone: +49 6221 3454301
Fax: +49 6221 3454229

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  • Produktbild: Artificial Intelligence in Drug Discovery for Neglected and Rare Diseases
  • Chapter 1. Introduction to Computational Intelligence in Drug Discovery for Neglected and Rare Diseases.- Chapter 2. Machine Learning for Target Identification in Tuberculosis, Malaria, and Leishmaniasis.- Chapter 3. Deep Learning Approaches for Drug-Pathogen Interaction Prediction in Chagas Disease, African Trypanosomiasis and Tuberculosis.- Chapter 4. Drug Repurposing Using Knowledge Graphs and Transformer-Based Models for Chagas Disease, Schistosomiasis, and Filariasis.- Chapter 5. Generative Models for De Novo Drug Design Against Leishmaniasis and Dengue.- Chapter 6. AI-Enhanced Molecular Docking and Dynamics Simulation Pipelines for Tuberculosis and Leishmaniasis.- Chapter 7. In Silico ADMET and Toxicity Profiling Using QSAR and Deep Learning.- Chapter 8. Multi-Omics Integration and Biomarker Discovery for Tuberculosis and Visceral Leishmaniasis.- Chapter 9. Machine Learning-Driven Vaccine Candidate Identification for Malaria and Leishmaniasis.- Chapter 10. Optimizing Clinical Trials for Rare and Neglected Diseases Using AI.- Chapter 11. AI-Driven Natural Product Screening for Anti-parasitic Drug Discovery in Neglected Tropical Diseases.- Chapter 12. Artificial Intelligence in Epitope Mapping and Immunoinformatics for Rare Parasitic Infections.- Chapter 13. Regulatory, Ethical and Societal Implications of AI in Neglected Diseases Research.- Chapter 14. Future Directions: Explainable AI, Quantum Computing, and Collaborative Innovation.