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Book Cover
E-book

Title Nanotechnology Principles in Drug Targeting and Diagnosis / edited by Mahendra Rai, Shagufta Khan, Aarti Belgamwar
Published San Diego : Elsevier, 2023

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Description 1 online resource (470 p.)
Series Micro and Nano Technologies
Micro & nano technologies.
Contents Front Cover -- Nanotechnology Principles in Drug Targeting and Diagnosis -- Copyright Page -- Contents -- List of contributors -- Preface -- 1 Drug targeting: general principles and strategies -- 1 Drug targeting: nanotechnology principles, future perspectives, and challenges -- 1.1 Introduction -- 1.2 Nanotechnology-based drug targeting approaches -- 1.2.1 Passive targeting -- 1.2.2 Active targeting -- 1.2.3 Physical targeting -- 1.3 Targeted nanoparticulate systems for various disorders -- 1.3.1 Nanotechnology in cancer -- 1.3.2 Nanotechnology in infectious diseases
1.3.3 Nanotechnology in cardiovascular diseases -- 1.3.4 Nanotechnology in autoimmune diseases -- 1.3.5 Nanotechnology in neurodegenerative diseases -- 1.3.6 Nanotechnology in respiratory diseases -- 1.3.7 Nanotechnology in ocular diseases -- 1.3.8 Application of artificial intelligence in targeted drug delivery -- 1.4 Future perspectives and challenges -- 1.5. Conclusion -- Acknowledgment -- References -- 2 Identifying nanocarrier-target interaction -- 2.1 Introduction -- 2.2 Potential targets for active targeting -- 2.2.1 Transferrin receptors -- 2.2.2 Human epidermal growth factor receptor 2
2.2.3 CD19 -- 2.2.4 CD20 -- 2.2.5 Alpha beta 3 integrins -- 2.2.6 Luteinizing hormone-releasing hormone receptor -- 2.2.7 Folate -- 2.3 Surface modification strategies of nanocarriers -- 2.3.1 Tf-functionalized nanocarriers -- 2.3.2 Epidermal growth factor receptor-functionalized nanocarriers -- 2.3.3 CD19-functionalized nanocarriers -- 2.3.4 CD20-targeted nanocarriers -- 2.3.5 Alpha beta 3 integrin-targeted nanocarriers -- 2.3.6 Folate receptor-targeted nanocarriers -- 2.3.7 Luteinizing hormone-releasing hormone peptide-tagged nanocarriers -- 2.4 Factors affecting nanocarrier-cell interaction
2.5 Methods to confirm carrier target interaction -- 2.5.1 Fluorescence microscopy -- 2.5.2 Raman imaging -- 2.5.3 Coherent anti-stokes Raman scattering microscopy -- 2.5.4 Electron microscopy -- 2.5.5 Correlative light-electron microscopy -- 2.6 Conclusion and future perspectives -- References -- 3 Artificial neural network-based inference of drug-target interactions -- 3.1 Introduction -- 3.1.1 Drug discovery and development process -- 3.1.1.1 Brief introduction -- 3.1.1.2 Research and development and attrition rates -- 3.2 Artificial neural networks -- 3.2.1 Principle and topology
3.2.2 Basic topology -- 3.2.3 Machine learning -- 3.2.3.1 Learning algorithms -- 3.2.3.2 Deep learning -- Convolutional neural networks -- Recurrent neural networks -- Graph neural networks -- 3.3 Applications of artificial neural networks to drug-target interactions -- 3.3.1 Target identification and validation -- 3.3.2 Target compound synthesis -- 3.3.3 Drug designing -- 3.3.4 Drug pathway -- 3.3.5 Protein-ligand affinity -- 3.3.6 Pharmacological activities -- 3.3.7 Structure-activity relationship -- 3.3.8 Drug repurposing -- 3.3.9 Drug-drug interactions -- 3.3.9.1 Synergistic effect
Notes Description based upon print version of record
3.3.9.2 Pharmacological action
Subject Drug targeting.
Nanotechnology -- Therapeutic use
Drug Delivery Systems
Drug targeting.
Form Electronic book
Author Rai, Mahendra
Khan, Shagufta
Belgamwar, Aarti
ISBN 9780323983488
0323983480