Computational Phytochemistry 2nd Edition

Capture the frontier where plant chemistry meets computation with Computational Phytochemistry, 2nd Edition by Satyajit Dey Sarker and Lutfun Nahar. This authoritative update invites researchers, graduate students, and industry scientists into a practical, modern guide for in silico exploration of natural Books.

Explore clear, applied explanations of core computational techniques—molecular docking, QSAR, cheminformatics, ADMET prediction, metabolomics data analysis, and network pharmacology—presented with real-world examples that connect laboratory phytochemistry to drug discovery pipelines. The second edition refreshes and expands content to reflect recent advances in algorithms, databases, and best practices, making it especially relevant for academics and professionals in Asia, Europe, North America and beyond.

Why this book matters: it bridges theory and practice, translating complex computational workflows into actionable steps for natural product screening, lead optimization, and bioactivity prediction. Each chapter emphasizes reproducible approaches, critical interpretation of results, and integration with experimental phytochemical methods—helping you streamline research, enhance publication quality, and accelerate translational outcomes.

Ideal for: graduate students, pharmacognosy and natural-product researchers, computational chemists, and pharmaceutical R&D teams seeking regionally and globally applicable strategies for plant-derived compound discovery.

Packed with concise explanations, illustrative figures, and practical tips, Computational Phytochemistry, 2nd Edition is the go-to reference to master modern tools for natural product research. Enhance your library and your research outcomes—order your copy today and stay at the cutting edge of phytochemical informatics.

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