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Antimicrobial Peptides: A Roadmap for Accelerating Discovery and Development covers the most important efforts of scientists and engineers worldwide to accelerate the process o… Read more
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Immediately download your ebook while waiting for your print delivery. No promo code needed.
Antimicrobial Peptides: A Roadmap for Accelerating Discovery and Development covers the most important efforts of scientists and engineers worldwide to accelerate the process of discovery, production, and eventual market penetration of more potent antimicrobial peptides. These efforts have been fueled by emerging technologies such as artificial intelligence and data science, molecular and CFD simulations, easy-to-use process simulation packages, microfluidics, 3D-printing, among many others. Such technologies can now be implemented and scaled up quickly and at relatively low cost in low-budget production facilities, critical to moving to sustainable and marketable products worldwide.
Discovering novel antimicrobial peptides rationally and cost-effectively has emerged as one of the significant challenges of modern biotechnology. Thus far, this process has been tedious and costly, resulting in molecules with activities far below those needed to address the current challenge of microbial resistance to antibiotics that takes the lives of thousands of people around the world every year. Finally, the book also highlights how multidisciplinary teams have assembled to address the challenges of manufacturing, biological testing, and clinical trials to finally reach complete translation.
Organic chemists, analytical chemists, formulation chemists, Translational scientists, bioanalytical scientists
Introduction. Antimicrobial peptides: from the bench to the bedside
Section 1. Computational approaches
1. Bioinformatic methods for the design of antimicrobial peptides
2. Fundamentals of molecular dynamics for antimicrobial peptides' discovery
3. Artificial intelligence for the discovery of antimicrobial peptides
4. Computational tools for handling large databases of biological relevance
5. Statistical analysis and data interpretation
Section 2. Experimental approaches
6. Chemical synthesis of peptides: conventional and novel routes
7. Physicochemical and biochemical characterization
8. Non-rational approaches based on microbial surface display
9. Classical and emerging approximations for the screening of peptide libraries
10. Scaling-up of biological production processes
11. Downstream processing
12. Physicochemical and biochemical characterization
Section 3. Translational studies
13. Biological characterization: in vitro and in vivo studies
14. Pre-clinical and clinical studies
15. Formulation and product design
16. Packaging, long-term stability, and usability
17. Quality control and assurance
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