Translational Biotechnology : A Journey from Laboratory to Clinics 1st Edition by Yasha Hasija – Ebook PDF Instant Download/DeliveryISBN: 0128219734, 9780128219737
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ISBN-10 : 0128219734
ISBN-13 : 9780128219737
Author: Yasha Hasija
Translational Biotechnology: A Journey from Laboratory to Clinics presents an integrative and multidisciplinary approach to biotechnology to help readers bridge the gaps between fundamental and functional research. The book provides state-of-the-art and integrative views of translational biotechnology by covering topics from basic concepts to novel methodologies. Topics discussed include biotechnology-based therapeutics, pathway and target discovery, biological therapeutic modalities, translational bioinformatics, and system and synthetic biology. Additional sections cover drug discovery, precision medicine and the socioeconomic impact of translational biotechnology. This book is valuable for bioinformaticians, biotechnologists, and members of the biomedical field who are interested in learning more about this promising field.
Translational Biotechnology : A Journey from Laboratory to Clinics 1st Table of contents:
Section 1: Introduction to translational biotechnology
Chapter 1. Translational biotechnology: A transition from basic biology to evidence-based research
Abstract
Outline
1.1 Introduction
1.2 The phases of translational research
1.3 Challenges to solutions
1.4 Applications
1.5 Conclusion and future directions
1.6 Highlights
Acknowledgment
Conflict of interest
References
Section 2: Biotherapeutics
Chapter 2. Biotechnology-based therapeutics
Abstract
Outline
2.1 Introduction
2.2 Human gene therapy
2.3 Stem cell therapy
2.4 Nanomedicine
2.5 Drug designing and delivery
2.6 Recombinant therapeutic proteins and vaccines
2.7 Conclusion and future applications
Acknowledgments
Conflicts of interest
Author’s contribution
References
Chapter 3. Advanced biotechnology-based therapeutics
Abstract
Outline
3.1 Introduction
3.2 Technologies that lead to the discovery of therapy
3.3 Molecular diagnostics
3.4 Cell-based therapy
3.5 Nanotechnology and its uses in biomedicine
3.6 Genome-scale metabolic modeling
3.7 Critical processes in the flow from basic science to practical application in the clinic via clinical trials and translational studies
3.8 Major pitfalls in translational research
3.9 Advancement in devices, biologics, and vaccines as an introduction to biotechnology products that are being used in therapy
3.10 Conclusion and summary
References
Section 3: Pathway and target discovery
Chapter 4. Human in vitro disease models to aid pathway and target discovery for neurological disorders
Abstract
Outline
4.1 Introduction
4.2 Generation of human disease models using iPSCs/patient fibroblasts
4.3 Modeling neurodevelopmental disorders
4.4 Modeling neurodegenerative diseases
4.5 Cerebral organoids and the future of human in vitro disease modeling
4.6 From bench to bedside—identification of pathways and drug targets for designing therapies
4.7 Future perspectives
Keyword definitions
Acknowledgments
References
Chapter 5. Importance of targeted therapies in acute myeloid leukemia
Abstract
Outline
5.1 Introduction
5.2 Approaches in target discovery
5.3 Acute myeloid leukemia–targeted therapies in clinics
5.4 Hurdles and emerging targeted therapies
5.5 Conclusion
Acknowledgments
References
Section 4: Novel therapeutic modalities
Chapter 6. Biological therapeutic modalities
Abstract
Outline
6.1 Introduction to biological therapeutic modalities
6.2 History of classical modalities
6.3 New modalities
6.4 Future of biological therapeutics
6.5 Case study—bio-therapeutic modalities in COVID-19 treatment
6.6 Conclusion
References
Chapter 7. The journey of noncoding RNA from bench to clinic
Abstract
Outline
7.1 Introduction
7.2 Patent landscape of noncoding RNA
7.3 Bottlenecks in the use of noncoding RNAs as biomarkers/therapeutics
7.4 Conclusions and future perspectives
References
Chapter 8. Peptide-based hydrogels for biomedical applications
Abstract
Outline
8.1 Introduction
8.2 Peptide-based hydrogelators
8.3 Biomedical applications
8.4 Conclusion, limitations, and future directions
References
Chapter 9. Bispecific antibodies: A promising entrant in cancer immunotherapy
Abstract
Outline
9.1 Introduction
9.2 Evolution of bispecific antibodies
9.3 Production of bispecific antibodies
9.4 Biomarkers in immunotherapy at a glance
9.5 Engineering of therapeutic protein
9.6 Market analysis: past, present and future
9.7 Future challenges and opportunities
9.8 Conclusion
References
Chapter 10. Emerging therapeutic modalities against malaria
Abstract
Outline
10.1 Introduction
10.2 Heme-detoxification drugs
10.3 Drugs targeting DNA or protein synthesis
10.4 Drugs targeting membrane transporters
10.5 Natural products
10.6 Protein-based malaria vaccines
10.7 Nucleic acid vaccines for the new era
10.8 Biological therapeutics
10.9 Conclusion
References
Section 5: Healthcare bioinformatics
Chapter 11. Translational bioinformatics: An introduction
Abstract
Outline
11.1 Introduction
11.2 The era of omics and big data: data mining and biomedical data integration
11.3 TBI in biomarker discovery
11.4 Computer-aided drug discovery
11.5 Artificial intelligence-based approach in TBI
11.6 The implication of TBI in precision medicine
11.7 Conclusion
References
Chapter 12. Pharmacodynamic biomarker for Hepatocellular carcinoma C: Model-based evaluation for pharmacokinetic–pharmacodynamic responses of drug
Abstract
Outline
12.1 Hepatocellular carcinoma
12.2 Pharmacokinetic and pharmacodynamic profiles (PK–PD)
12.3 Pharmacokinetic and pharmacodynamic models
12.4 Advantages of pharmacokinetic and pharmacodynamic modeling
12.5 Development of pharmacodynamic (PD) biomarker in hepatocellular carcinoma
12.6 Pharmacokinetic and pharmacodynamic drug responses
12.7 Conclusions
References
Section 6: Biological systems engineering
Chapter 13. System biology and synthetic biology
Abstract
Outline
13.1 Introduction
13.2 System biology
13.3 Synthetic biology
13.4 Conclusion
References
Section 7: Drug discovery and personalized medicine
Chapter 14. Translational research in drug discovery: Tiny steps before the giant leap
Abstract
Outline
14.1 Introduction
14.2 Tools involved in translation drug discovery
14.3 Recent successful advances in translation drug discovery
14.4 Opportunities in translation drug discovery
14.5 Challenges in translation drug discovery
14.6 Approaches to boost translational drug discovery
14.7 Conclusion
14.8 Future perspective
References
Chapter 15. FLAGSHIP: A novel drug discovery platform originating from the “dark matter of the genome”
Abstract
Outline
15.1 Introduction
15.2 Designing novel therapeutic peptides from dark matter of the genome
15.3 Pseudogenes: a potential biotherapeutic target
References
Section 8: Socio-economic impact of translational biotechnology
Chapter 16. Role of shared research facilities/core facilities in translational research
Abstract
Outline
16.1 Introduction: socioeconomic impact of translational research
16.2 Core facility: shared research–shared cost
16.3 Research and development supporting mechanism: environmental scan (the United States and Canada)
16.4 Efficiencies and lean practices in research management
16.5 Final notes: learnings for future
Acknowledgments
References
Chapter 17. A new TOPSIS-based approach to evaluate the economic indicators in the healthcare system and the impact of biotechnology
Abstract
Outline
17.1 Introduction
17.2 Technique for order of preference by similarity to ideal solution approach
17.3 Methodology
17.4 Result and discussion
17.5 Conclusion
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