Phytochemistry and Bioinformatics: Recent advances
Editors: Professor Juan Abreu Payrol, Professor Juan Alberto Castillo Garit, Professor Luis Alberto Torres Gómez, and Mario Pupo Meriño
Status: Approved & Ongoing
To contribute a chapter to this book, please be in contact with Prof. Juan Abreu Payrol through japayrol@gmail.com
Description
Phytochemistry and Bioinformatics: Recent advances presents a summary of the recent contributions of Bioinformatics, a field of science in full and dynamic expansion, to the study of secondary metabolites present in plants and to the development of new drugs, applying approaches based on the study of powerful tools provided by computing to accelerate the processes of discovery and evaluation of the rich source that medicinal plants represent.
Both the novel computer tools that are developed or new approaches based on them are treated, as well as the deepening of the knowledge of secondary metabolites, their properties and the modifications that favor their potential application.
This book offers in a brief compendium an update of recent contributions of Bioinformatics to the study of secondary metabolites present in plants in various approaches: chemical structure and its relationship with chemical and biological properties, development of methodologies and pharmacological evaluations using informatics, application of omics, and other topics of interest.
Key Features
• Databases, methods and procedures for computational drug discovery in plants,
• Applications of computational tools and their databases in phytochemistry,
• Computing in pharmacology of plant metabolites.
Table of Contents
1. Reverse phytochemical screening.
2. Phytochemical databases in drug discovery.
3. Genomics and bioactive secondary metabolites in plants.
4. Phytochemical-protein interactions (PCPIs) networks.
5. CADD Computer-Assisted Drug Discovery: recent advances.
6. Phytochemistry and network pharmacology.
7. Computers in ADMET studies.
8. In silico predictions of phytochemicals activities against infectious diseases and cancer.
9. Computational approach in the screening of phytochemicals against COVID-19.
10. Omics in Medicinal plants.