Computational Methods in Medicinal Chemistry, Pharmacology, and Toxicology

Computational Methods in Medicinal Chemistry, Pharmacology, and Toxicology by Muhammad Ishfaq invites scientists, students, and industry professionals into the practical world of in silico drug discovery. Clear, authoritative, and up-to-date, this book captures the essential computational approaches that accelerate modern medicinal chemistry, inform pharmacology, and refine toxicology assessments.

Begin with a compelling overview of why computational methods matter: from early hit identification to ADMET prediction, these tools reduce cost, speed timelines, and improve decision-making across drug development pipelines. The narrative then guides readers through core techniques — molecular modeling, docking, QSAR, cheminformatics, and predictive toxicology — presented in an accessible, application-focused style tailored for researchers and graduate students.

Practical case studies and real-world examples demonstrate how computational workflows integrate with experimental design, improving lead optimization and safety profiling. Emphasis on reproducible strategies and cross-disciplinary collaboration makes this text especially useful for pharmaceutical scientists, regulatory scientists, and academic labs worldwide — whether in North America, Europe, or Asia.

Readable yet rigorous, the book balances theory with actionable guidance so readers can apply computational strategies immediately to projects. If you’re seeking a reliable, professional resource that demystifies computational drug discovery and supports better pharmacological and toxicological outcomes, Muhammad Ishfaq’s work is an essential addition to your library.

Order your copy today to equip your team or coursework with cutting-edge computational tools that drive smarter, safer medicines.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.