Computational Approaches in Biotechnology and Bioinformatics
eBook - ePub

Computational Approaches in Biotechnology and Bioinformatics

Pranav Deepak Pathak,Roshani Raut,Sebastian Jaramillo-Isaza,Pradnya Borkar,Rutvij H. Jhaveri

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  2. English
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eBook - ePub

Computational Approaches in Biotechnology and Bioinformatics

Pranav Deepak Pathak,Roshani Raut,Sebastian Jaramillo-Isaza,Pradnya Borkar,Rutvij H. Jhaveri

Dettagli del libro
Indice dei contenuti
Citazioni

Informazioni sul libro

Volume 1 of Computational Approaches in Bioengineering—Computational Approaches in Biotechnology and Bioinformatics —explores many significant topics of biomedical engineering and bioinformatics in an easily understandable format. It explores recent developments and applications in bioinformatics, biomechanics, artificial intelligence (AI), signal processing, wearable sensors, biomaterials, cell biology, synthetic biology, biostatistics, prosthetics, big data, and algorithms. From applications of biomaterials in advanced drug delivery systems to the role of big data, AI, and machine learning in disease diagnosis and treatment, the book will help readers understand how these technologies are being applied across the areas of biomedical engineering, bioinformatics, and healthcare. The chapters also include case studies on the role of medical robots in surgery and the determination of protein structure using genetic algorithms. The contributors are all leading experts across multiple disciplines and provide chapters that truly represent a complete view of these state-of-the-art technologies.

FEATURES

  • Covers a wide range of subjects from biomedical engineering like wearable devices, biomaterials, synthetic biology, phytochemical extraction, and prosthetics
  • Explores AI, machine learning, big data analysis, and algorithms in biomedical engineering and bioinformatics in an easily understandable format
  • Includes case studies on the role of medical robots in surgery and the determination of protein structure using genetic algorithms
  • Discusses genetic diagnosis, classification, and risk prediction in cancer using next-generation sequencing in oncology

This book is ideally designed for biomedical professionals, biomedical engineers, healthcare professionals, data engineers, clinicians, physicians, medical students, hospital directors, clinical researchers, and others who work in the field of artificial intelligence, bioinformatics, and computational biology.

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Informazioni

Editore
CRC Press
Anno
2024
ISBN
9781040008843

Indice dei contenuti

  1. Cover
  2. Half Title
  3. Series
  4. Title
  5. Copyright
  6. Contents
  7. Preface
  8. About the Editors
  9. List of Contributors
  10. Chapter 1 Computational Approaches for the Discovery of New Drugs for Inflammatory and Infectious Diseases
  11. Chapter 2 A Bioinformatics Approach Towards Plant-Based Anticancer Drug Discovery
  12. Chapter 3 Recent Advances in Anticancer Activity and Bioinformatics Approach from Potential Plants
  13. Chapter 4 Extraction of Phenolic Compounds from Some Ayurvedic Botanicals (Nigella sativa, Andrographis paniculata, and Phyllanthus amarus) and Evaluation of Their Antibacterial and Antiviral Properties Using Bioinformatics Approaches
  14. Chapter 5 Phenolic Compounds: A Systematic Review of Extraction Methods and a Bioinformatics Approach for Their Antibacterial and Antiviral Properties
  15. Chapter 6 The Role of Tissue Engineering in the Treatment of Degenerative Diseases
  16. Chapter 7 An Algorithmic Soft Computing Technique for Identifying Lipase-Producing Yeast Using Its Gene Expression Data
  17. Chapter 8 Plant Phenolic Compound Isolation and Its Bioinformatics Approaches to Molecular Mechanisms in Antimicrobial Activities and Resistance
  18. Chapter 9 Computational Evaluation of Peanut Skin Bioactive Compounds for Cancer Treatment
  19. Chapter 10 Bioinformatics Tools for the Discovery of Potential Anti-Diabetic Drugs from Lichens
  20. Chapter 11 In Silico Analysis of Lapachol and Nickel Lapachol Against Tumor Proteins: Insights into the Molecular Interactions and Drug Likeliness
  21. Chapter 12 Transcriptome Analysis Identifies Genes Involved in Vitamin B Biosynthesis in Solanum virginianum Whole Fruit
  22. Chapter 13 Identification of Compounds Present in the Ethanolic Extract of Cecropia pachyatachya Trécul Leaves by CG-MS and In Silico Studies with the Enzymes 5-LOX and α-1-Antitrypsin
  23. Chapter 14 Computational Biology Approach in Viticulture
  24. Chapter 15 Screenings of the Inhibitory Ability of Vietnamese Medicinal Plant-Based Substances and Protein-Related Structures: Computation-Pharmacological Experiment Correlations
  25. Index
Stili delle citazioni per Computational Approaches in Biotechnology and Bioinformatics

APA 6 Citation

Pathak, P. D., Raut, R., Jaramillo-Isaza, S., Borkar, P., & Jhaveri, R. (2024). Computational Approaches in Biotechnology and Bioinformatics (1st ed.). CRC Press. Retrieved from https://www.perlego.com/book/4383969 (Original work published 2024)

Chicago Citation

Pathak, Pranav Deepak, Roshani Raut, Sebastian Jaramillo-Isaza, Pradnya Borkar, and Rutvij Jhaveri. (2024) 2024. Computational Approaches in Biotechnology and Bioinformatics. 1st ed. CRC Press. https://www.perlego.com/book/4383969.

Harvard Citation

Pathak, P. D. et al. (2024) Computational Approaches in Biotechnology and Bioinformatics. 1st edn. CRC Press. Available at: https://www.perlego.com/book/4383969 (Accessed: 24 June 2024).

MLA 7 Citation

Pathak, Pranav Deepak et al. Computational Approaches in Biotechnology and Bioinformatics. 1st ed. CRC Press, 2024. Web. 24 June 2024.