Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences

Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences brings together two very important fields in pharmaceutical sciences that have been mostly seen as diverging from each other: chemoinformatics and bioinformatics. Developing drugs is an expensive and lengthy process. Technology can improve the cost, efficiency, and speed at which new drugs can be discovered and tested. This book presents some of the growing advancements of technology in the field of drug development and the computational approaches explained here can reduce the financial and experimental burden of drug discovery process. This book presents basic knowledge on chemoinformatics and bioinformatics approaches for drug development for those entering or establishing themselves in the pharmaceutical sciences field. Chemoinformatics and Bioinformatics in Pharmaceutical Sciences will be useful to pharmaceutical science researchers and students who need basic knowledge of computational techniques relevant to their projects. Bioscientists, bioinformaticians, computational scientists as well as several stakeholders from industry and academia will also find this book helpful. Provides practical information on how to choose and use appropriate computational toolsPresents the wide, intersecting fields of chemo-bio-informatics in an easily-accessible formatExplores the fundamentals of the emerging field of chemoinformatics and bioinformatics INDICE: 1. Overview of commonly used bioinformatics tools, technique, methods, and their application2. Computer Aided Drug Design3. Structure based drug discovery4. Advances in Structure Based drug design5. Computational tools for molecular modelling6. Modelling: Ab-initio methods7. In-silico approaches to protein molecular interactions: From ab initio modeling to molecular docking studies8. Molecular Docking: Powerful approach for Ligand Based Drug Design9. Computer simulation models for radiation therapy in cancer treatment10. Testing of drug impacts using Simulation methods11. Free-energy perturbation: A review12. In-silico Dynamic search protocols and matrix-based analysis to target desired Biological activity13. Evaluation of QSAR as a tool for Drug discovery and Designing14. Revealing Genome by using Bioinformatics database and Tools15. Computational Genomics and Proteomics in Immunotherapeutics16. Unveiling the molecular basis of DNA-Protein Structure and function: In Silico View17. In silico tools: A key player in studying the biology of Neuronal impairment18. Computational Cancer Genomics19. Python and R, a best combination for bioinformatics and data Science20. Computational and Functional Annotation at Genomic Scale: Gene Expression and Analysis21. Microarray gene expression data analysis: current methods and challenges22. Fundamentals of statistical methods for genomic data analysis

• ISBN: 978-0-12-821748-1
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 420
• Fecha Publicación: 01/05/2021
• Nº Volúmenes: 1
• Idioma: Inglés