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Kategorie szczegółowe BISAC

Phytochemistry, Computational Tools, and Databases in Drug Discovery

ISBN-13: 9780323905930 / Angielski / Miękka / 2022

Egbuna, Chukwuebuka
Phytochemistry, Computational Tools, and Databases in Drug Discovery Egbuna, Chukwuebuka 9780323905930 Elsevier - Health Sciences Division - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Phytochemistry, Computational Tools, and Databases in Drug Discovery

ISBN-13: 9780323905930 / Angielski / Miękka / 2022

Egbuna, Chukwuebuka
cena 857,10
(netto: 816,29 VAT:  5%)

Najniższa cena z 30 dni: 846,63
Termin realizacji zamówienia:
ok. 30 dni roboczych.

Darmowa dostawa!
Kategorie:
Inne
Kategorie BISAC:
Medical > Farmakologia
Science > Chemia - Organiczna
Science > Biochemia
Wydawca:
Elsevier - Health Sciences Division
Język:
Angielski
ISBN-13:
9780323905930
Rok wydania:
2022
Oprawa:
Miękka
Wolumenów:
01
Dodatkowe informacje:
Bibliografia

1. Phytochemistry, history and progress in drug discovery 2. Trends in modern-day drug discovery and development: a glance in the present millennium 3. Computational phytochemistry, databases and tools 4. Computational approaches in drug discovery from phytochemicals 5. Informatics and database for phytochemical drug discovery 6. In silico approaches in repurposing of bioactive natural products for drug discovery 7. Virtual screening of phytochemicals for drug discovery 8. Roles of metagenomics and metabolomics in computational drug discovery 9. Molecular docking and molecular dynamics in natural products-based drug discovery 10. Computational screening of phytochemicals for antibacterial drug discovery 11. Computational screening of phytochemicals for antiviral drug discovery 12. Computational screening of phytochemicals for antiparasitic drug discovery 13. Computational screening of phytochemicals for antidiabetic drug discovery 14. Computational screening of phytochemicals for anticancer drug discovery 15. Application of artificial intelligence and machine learning in natural products-based drug discovery 16. Roles of AI and machine learning approach in natural products-based drug discovery 17. Application of density functional theory (DFT) and response surface methodology (RSM) in drug discovery 18. Therapeutic potentials of medicinal plants and significance of computational tools in anticancer drug discovery

Chukwuebuka Egbuna (PhD) is a chartered chemist and academic researcher. He is a member of the Institute of Chartered Chemists of Nigeria (ICCON), the Nigerian Society of Biochemistry and Molecular Biology (NSBMB), and the Royal Society of Chemistry (RSC) (United Kingdom). Dr. Egbuna is the founder and editor of the Elsevier book series on Drug Discovery Update. The series includes books, monographs, and edited collections from all areas of drug discovery including emerging therapeutic claims for the treatment of diseases. He has published research articles in many international journals of repute and is ranked among the top 500 Nigerian scientists in SciVal/SCOPUS. He has edited more than 25 books with Elsevier, Springer, Wiley, and Taylor & Francis. His most recent book is the three volume Coronavirus Drug Discovery, published by Elsevier. Dr. Egbuna is the founder and the publishing director of IPS Intelligentsia Publishing Services.

Mithun Rudrapal is an Associate Professor and Head at the Department of Pharmaceutical Chemistry, Rasiklal M. Dhariwal Institute of Pharmaceutical Education and Research, Pune, India. Dr. Rudrapal has been actively engaged in teaching and research in the field of Pharmaceutical and Allied Sciences for more than 12 years. He has over 100 publications in peer-reviewed international journals to his credit and has filed a number of Indian patents. In addition, Dr. Rudrapal is the author or editor over a dozen published or forthcoming books or book chapters. Dr. Rudrapal works in the area of Medicinal Chemistry, CADD, Pharmacology, Drug Repurposing, Phytochemistry, Herbal Drugs and Nanophytotherapeutics. His research interests include discovery and development of drugs for infectious diseases, diabetes and inflammatory disorders from synthetic as well as plant sources. Habibu Tijjani works in the Department of Biochemistry, Natural Product Research Laboratory at Bauchi State University Gadau in Nigeria.



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