Buch, Englisch, 419 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Challenges and Advances in Computational Chemistry and Physics
Buch, Englisch, 419 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Challenges and Advances in Computational Chemistry and Physics
ISBN: 978-3-032-34103-7
Verlag: Springer
This contributed volume provides a comprehensive analysis of computer-aided drug design (CADD) and network pharmacology, focusing on their vital roles in modern drug research and development. It explores techniques like molecular docking and molecular dynamics simulations to design lead compounds, understand drug-receptor interactions, and improving drug efficacy, particularly in treating life-threatening diseases like cancer. The book also highlights how network pharmacology aids in identifying drug mechanisms and resistance, offering valuable insights into pharmacological effects. By combining these advanced methodologies, the book emphasizes their transformative impact on accelerating drug discovery and optimizing treatment strategies. It is a useful tool for graduate students, researchers, and/or professionals working in the area of drug discovery and development.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Chemie Chemie Allgemein Chemometrik, Chemoinformatik
- Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
- Naturwissenschaften Chemie Physikalische Chemie Quantenchemie, Theoretische Chemie
Weitere Infos & Material
Molecular Docking & Molecular Dynamics Simulation: A Perfect Blend of Simulation Techniques in Drug Design.- Drug Design Through Antisense Oligonucleotide.- Metabolomics and Molecular Docking Directed Drug Discovery.- Role Of Molecular Dynamic Simulation in Anti-Cancer Drug Design.- Network Pharmacology: Clarify Mechanism of Different Phytochemicals on Neuro Diseases.- Recent Development of Molecular Docking.- Impact Of Artificial Intelligence in Computer Aided Drug Design.- Drug Resistance: Molecular Mechanism Through Network Pharmacology.- Pharmacoinformatics in Modern Drug Discovery: Opportunities, Limitations, And Future Directions.- The Role of Computer-Aided Drug Design (CADD) In Identifying Key Chemical Constituents and Druggable Targets from Complex Formulations.- Ayurinformatics: Integration of Traditional Knowledge with Computational Science.- Future Perspectives of Network Pharmacology in Drug Development.




