
Antimicrobial Peptides
A Roadmap for Accelerating Discovery and Development
- 1st Edition - November 22, 2024
- Imprint: Elsevier
- Editors: Luis H. Reyes, Juan C. Cruz, Gregory R. Wiedman
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 5 3 9 3 - 8
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 5 3 9 4 - 5
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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Request a sales quoteAntimicrobial 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.
- Covers computational tools (including emerging artificial intelligence algorithms) and microfluidic systems for discovery and high-throughput screening of AMPs
- Discusses the application of bioprocess engineering scale-up approaches for AMPs' production and purification with the aid of process simulation tools and rapid prototyping
- Highlights user-centered design and formulation of products with AMPs
- Describes the whole pipeline for AMPs production
Organic chemists, analytical chemists, formulation chemists, Translational scientists, bioanalytical scientists
- Antimicrobial Peptides
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Introduction—Antimicrobial peptides: From the bench to the bedside
- References
- Section A: Computational approaches
- Chapter 1 Bioinformatic methods for the design of antimicrobial peptides
- Abstract
- Keywords
- 1 Introduction
- 1.1 The significance of bioinformatics in accelerating the discovery and optimization of AMPs
- 2 Foundations of AMP design
- 2.1 Bioinformatics-driven peptide engineering
- 2.2 Computational tools for AMP discovery
- 2.3 Bioinformatic resources for AMP discovery
- 2.4 Theoretical frameworks for AMP structure-activity relationship (SAR)
- 3 Stability and toxicity prediction
- 3.1 Stability of AMPs in biological contexts
- 3.2 Toxicity toward mammalian cells
- 3.3 Predictive models for stability and toxicity
- 3.4 Computational methods for predicting peptide stability
- 3.5 Toxicity prediction models
- 4 Formulation and delivery system design
- 4.1 Challenges in AMP formulation: Addressing stability, bioavailability, and controlled release in therapeutic applications
- 4.2 Integration of computational approaches
- 4.3 Bioinformatics in formulation design
- 4.4 QSAR models in formulation optimization
- 4.5 Innovations in AMP delivery: Bioinformatic tools and design of advanced delivery systems
- 5 Conclusion
- 5.1 Summary of key points: The vital role of bioinformatics in the discovery and development of next-generation AMPs
- 5.2 Future directions: Emerging trends and technologies in bioinformatics that could revolutionize the design and application of AMPs
- 5.3 Final thoughts on the integration of bioinformatics into multidisciplinary strategies for combating antibiotic resistance
- References
- Chapter 2 Fundamentals of molecular dynamics for antimicrobial peptides’ discovery
- Abstract
- Keywords
- 1 Introduction
- 2 MD fundamentals
- 2.1 Force fields for AMPs
- 3 Applications of MD in AMP discovery
- 4 Recent advances in MD simulations for AMP discovery
- 4.1 Hybrid QM/MM simulations for AMPs
- 4.2 Machine learning methods for MD simulations
- 5 Summary
- References
- Chapter 3 Artificial intelligence for the discovery of antimicrobial peptides
- Abstract
- Keywords
- 1 Introduction
- 2 Data
- 3 Traditional machine learning
- 3.1 Features
- 3.2 Methods
- 3.3 Examples
- 4 Deep learning
- 4.1 Architectures
- 4.2 Data representation and use cases
- 5 Metrics
- 6 Postprocessing of candidates
- 7 AI for peptide-related tasks
- 8 AI for similar tasks in the biological field
- References
- Chapter 4 Computational tools for handling large databases of biological relevance
- Abstract
- Keywords
- 1 Introduction
- 2 AMP databases
- 2.1 General AMPs databases
- 2.2 Specific AMPs databases
- 3 Web scraping for biological databases
- 4 Programming languages and their tools
- 4.1 Python
- 4.2 R libraries and packages
- 5 Practical implementation examples
- 6 Recommendations for best practices
- 6.1 Validate databases
- 6.2 Data gathering
- 6.3 Efficient data curation
- 6.4 Implement filters
- 6.5 Dataset balancing
- 6.6 Homology and redundancy reduction
- 6.7 Feature extraction
- 7 Conclusions
- References
- Chapter 5 Statistical analysis and data interpretation
- Abstract
- Keywords
- 1 Introduction
- 2 Descriptive statistics
- 2.1 Measures of central tendency
- 2.2 Measures of dispersion
- 2.3 Importance in data interpretation and preprocessing
- 3 Inferential statistics
- 3.1 Hypothesis testing
- 3.2 Confidence intervals
- 3.3 t-Tests
- 3.4 Analysis of variance (ANOVA)
- 3.5 Chi-square tests
- 3.6 Correlation and regression analyses
- 4 Multivariate statistical analysis
- 4.1 Principal component analysis (PCA)
- 4.2 Factor analysis
- 4.3 Cluster analysis
- 4.4 Discriminant analysis
- 4.5 Applications in antimicrobial peptide research
- 5 Data processing tools
- 5.1 Data preprocessing
- 5.2 Data imputation
- 5.3 Data visualization
- 5.4 Software and programming languages for data analysis
- 6 Interpreting computational data
- 6.1 Avoiding common pitfalls
- 6.2 Importance of reproducibility
- 6.3 Evaluating the significance and impact of findings
- 7 Conclusion
- References
- Section B: Experimental approaches
- Chapter 6 Chemical synthesis of peptides: Conventional and novel routes
- Abstract
- Keywords
- 1 Selection of the solid support
- 2 Protection and deprotection strategy of α-groups
- 3 Side group protection
- 4 Activation and coupling strategy
- 5 Cleavage strategy in solid-phase peptide synthesis
- 6 Peptide lipidation strategy
- 7 Cyclization strategy
- 8 Purification strategy
- 8.1 Troubleshooting
- 9 Emerging methods in antimicrobial peptide synthesis
- References
- Chapter 7 Biological platforms for the production of antimicrobial peptides: Bacterial, yeast, and cell-free systems
- Abstract
- Keywords
- 1 Bacterial hosts for antimicrobial peptide production
- 1.1 Masking the AMP: Using protein fusion strategies
- 1.2 Direct expression
- 2 Exploring the use of fungi for antimicrobial peptide production
- 2.1 Expression systems
- 3 Cell-free synthesis: Revolutionizing biotherapeutic manufacturing
- 3.1 Biosafety
- 3.2 High-throughput and on-demand production
- 4 Exploring the drivers and challenges of biological antimicrobial production
- 4.1 Motives for utilizing a biological approach for the production of AMPs
- 4.2 Challenges
- 5 Future perspectives
- 5.1 Novel expression systems for AMPs
- 5.2 In vivo activity and safety
- 6 Conclusion
- 7 AI disclosure
- References
- Chapter 8 Biological platforms for the production of antimicrobial peptides: Plants, insects, and mammalian cells systems
- Abstract
- Keywords
- 1 Expression of antimicrobial peptides in plants
- 1.1 Heterologous expression
- 1.2 Direct gene transfer
- 1.3 Plant expression systems
- 1.4 Factors impacting plant expression systems
- 2 Insect cell-based expression systems for antimicrobial peptide production
- 3 Technologies for expressing antimicrobial peptides in mammalian cells
- 3.1 Recombinant DNA technology
- 3.2 Synthetic biology
- 3.3 mRNA-based expression systems
- 4 Exploring the drivers and challenges of biological antimicrobial production in plants, insects, and mammalian cell systems
- 4.1 Motives for utilizing plant, insect, and mammalian cell systems for the production of AMPs
- 4.2 Challenges
- 5 Future perspectives
- 5.1 Novel expression systems for AMPs
- 5.2 In vivo activity and safety
- 6 Conclusion
- 7 AI disclosure
- References
- Chapter 9 Classical and emerging approximations for the screening of antimicrobial peptide libraries
- Abstract
- Keywords
- 1 Introduction
- 1.1 Importance of screening peptide libraries
- 1.2 Overview of classical and emerging approximations for screening peptide libraries
- 2 Classical screening technologies for peptide libraries
- 2.1 Phage display
- 2.2 Ribosome display
- 2.3 Cell-surface display
- 2.4 Advantages and disadvantages of classical screening technologies
- 3 Emerging technologies for peptide library screening
- 3.1 Microfluidics-based screening
- 3.2 Other emerging technologies
- 3.3 Advantages and disadvantages of emerging screening technologies
- 4 Approaches to monitoring screening in real time
- 4.1 Label-free detection methods
- 4.2 Fluorescence-based detection methods
- 4.3 Mass spectrometry-based detection methods
- 4.4 Surface plasmon resonance (SPR)-based detection methods
- 5 Proven schemes for screening peptide libraries
- 5.1 High-throughput screening (HTS)
- 5.2 Fluorescence-activated cell sorting (FACS)
- 5.3 Magnetic-activated cell sorting (MACS)
- 5.4 Microarray screening
- 6 Technical challenges in screening peptide libraries
- 6.1 Sensitivity and specificity
- 6.2 Integration of technologies
- 7 Future perspectives
- 8 AI disclosure
- References
- Chapter 10 Scaling-up of biological production processes
- Abstract
- Keywords
- 1 Introduction to scale-up of AMPs production
- 2 Culture strategies for AMPs production in bioreactor
- 3 Strategies to scale up a bioreactor for the AMPs production
- 4 Tools to scale-up the AMP’s production
- 4.1 Kinetic models for cell growth and mathematical modeling
- 4.2 Computational fluid dynamics tool for AMPs production
- 4.3 Scaling-up simulation with SuperPro Designer
- References
- Chapter 11 Downstream processing for antimicrobial peptide production
- Abstract
- Keywords
- 1 Introduction
- 2 Cell disruption
- 2.1 High-pressure homogenization
- 2.2 Sonication
- 2.3 Enzymatic lysis
- 2.4 Mechanical milling
- 3 Harvesting and recovery of antimicrobial peptides
- 3.1 Centrifugation
- 3.2 Filtration or tangential filtration
- 3.3 Sedimentation
- 3.4 Influencing factors on recovery efficiency
- 4 Concentration and purification of antimicrobial peptides
- 4.1 Precipitation methods
- 4.2 Dialysis and desalting techniques
- 4.3 Chromatography methods for purification
- 4.4 Peptide purification by ion exchange chromatography
- 4.5 Peptide purification by reversed-phase chromatography and hydrophobic interaction chromatography
- 5 Conclusions
- References
- Chapter 12 Physicochemical and biochemical characterization of antimicrobial peptides
- Abstract
- Keywords
- 1 Introduction
- 2 Physicochemical characterization
- 2.1 Molecular weight determination
- 2.2 Amino acid composition
- 2.3 Peptide sequence analysis
- 2.4 Secondary structure analysis
- 2.5 Tertiary structure analysis
- 2.6 Hydrophobicity and hydrophilicity
- 2.7 Charge and pH dependence
- 2.8 Solubility
- 2.9 Thermal stability
- 2.10 Aggregation and oligomerization
- 3 Biochemical characterization of AMPs
- 3.1 Pharmacokinetics
- 3.2 Bioavailability and stability
- 3.3 Peptide-lipid interactions
- 3.4 Receptor affinity techniques
- 3.5 Antiinflammatory and immunomodulatory properties
- 4 Conclusions
- AI Disclosure
- References
- Section C: Translational studies
- Chapter 13 Biological characterization of antimicrobial peptides: In vitro and in vivo studies
- Abstract
- Keywords
- 1 Introduction
- 2 In vitro studies
- 2.1 Cellular toxicity
- 2.2 Antimicrobial activity determination
- 2.3 Mechanism of action
- 3 In vivo studies
- 3.1 Systemic viral infection
- 3.2 Skin infection and wound healing models
- 3.3 Respiratory tract infection
- 3.4 Foreign body infection
- 3.5 Intraperitoneal infections
- 3.6 Urinary tract infection
- 3.7 Eye infection
- 3.8 Thigh muscle infection models
- 3.9 Bone infection models
- 3.10 Ex vivo pig skin model
- 4 Conclusion
- References
- Chapter 14 Preclinical and clinical studies
- Abstract
- Keywords
- 1 Introduction
- 2 FDA-approved AMP
- 2.1 Gramicidin
- 2.2 Polymyxin (E and B)
- 2.3 Bacitracin
- 2.4 Vancomycin
- 2.5 Dalbavancin
- 2.6 Telavancin
- 2.7 Oritavancin
- 2.8 Daptomycin
- 2.9 Final remarks
- 3 AMPs that have reached clinical trials
- 3.1 AMPs for the treatment of skin and soft tissues
- 3.2 AMPs for the treatment of epithelial infections
- 3.3 AMPs for the treatment of meningitis and the nervous system
- 4 Conclusions
- References
- Chapter 15 Formulation and product design
- Abstract
- Keywords
- 1 Systematic approaches for product design
- 1.1 The integrated product and process design (IPPD)
- 1.2 Quality by design (QbD)
- 2 Oral dosage forms
- 2.1 Tablets
- 2.2 Capsules
- 2.3 Characterization
- 3 Colloidal systems
- 3.1 Emulsions
- 4 AMP-based products
- 4.1 Formulation of AMP-based products
- 5 Challenges
- References
- Chapter 16 Packaging, long-term stability, and usability of antimicrobial peptide products
- Abstract
- Keywords
- 1 Introduction to packaging in consumer goods
- 2 Preservation of AMPs: Matrices and conditions
- 2.1 Preservation in freeze-dried state and aqueous solutions
- 2.2 Preservation and stability of AMPs by encapsulation
- 2.3 AMPs stability in formulated products
- 2.4 Stability of AMPs within solid matrices
- 2.5 Fiber formation to preserve AMPs
- 2.6 Packaging mechanisms and conditions for AMPs
- 3 Case studies: Use of peptides in pharmaceutical and cosmeceutical products
- 3.1 General outline regarding conservation and packaging in pharmaceutical and cosmetics industries
- 3.2 Cosmeceutical topical cream
- 3.3 Pharmaceutical topical cream
- 4 Conclusions
- References
- Chapter 17 Synthetic peptides quality control and assurance
- Abstract
- Keywords
- 1 Introduction
- 2 Quality building
- 2.1 Characterization
- 2.2 Good laboratory practices
- 2.3 Process parameters, quality attributes, and risk analysis matrix
- 3 Quality control
- 4 Quality assurance
- 4.1 Personnel
- 4.2 Materials and suppliers
- 4.3 Equipment
- 4.4 Facilities
- 4.5 Methods and document management system
- 4.6 Metrics and measures
- 5 Quality management
- 5.1 Quality planning
- 5.2 Improvement
- 5.3 Relationship management
- 5.4 Quality management system
- References
- Index
- Edition: 1
- Published: November 22, 2024
- Imprint: Elsevier
- No. of pages: 438
- Language: English
- Paperback ISBN: 9780443153938
- eBook ISBN: 9780443153945
LR
Luis H. Reyes
JC
Juan C. Cruz
GW