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IPSC organized by Faculty of Economic and Business Universitas Mahasaraswati Denpasar, Universiti Teknologi Mara-Malaysia and Universitas Terbuka-Indonesia. IPSC aims to address the challenges associated with the modern research produced in the public sector. As new advancements are constantly emerging, early-career academics, scholars, and researchers are finding it harder to stay abreast of these developments. The conference seeks to provide support to these individuals by helping them stay up-to-date with the latest advancements. The 5th International Public Sector Conference (IPSC) 2023 with the theme "Strategic Alliance and Sustainabillity of Public Sector Organization in Digital Era" with focus and scopes encourages researchers of all levels to showcase their investigative research findings by presenting appropriate papers or presentations at the event, regardless of their particular educational research field. Those who submit the best research articles will be duly rewarded with an incredible opportunity to have their research outcomes published in top-tier publications and magazines that are globally renowned. This not only helps them gain the necessary exposure to spread the word about their research work among international research communities but also opens up numerous opportunities for funding and conducting advanced research projects.
Advances in Protein Chemistry and Structural Biology, Volume 138 covers reviews of methodology and research in all aspects of protein chemistry, including purification/expression, proteomics, modeling and structural determination and design. Chapters in this release include Proteomic Applications in Identifying Protein-Protein Interactions, Understanding functions of eEF1 translation elongation factors beyond translation. A proteomic approach, Proteomics provides insights into theranostic potential of extracellular vesicles, Towards a shareable functional analysis of the structural proteome, Functional unfoldomics, In-silico Network Pharmacology Study on Glycyrrhiza glabra: Analyzing the Immune-Boosting phytochemical properties of Siddha Medicinal Plant against COVID-19, and more.Other chapters cover In silico Network Pharmacology Analysis and Molecular Docking Validation of Swasa Kudori for Screening Druggable Phytoconstituents of Asthma, Proteomics and Genomics Insights on Malignant Osteosarcoma, Application of functional proteomics in understanding RNA Virus-Mediated Infection, Biofilm proteome of Staphylococcus aureus: implications for therapeutic interventions to biofilm-associated infections, A computational pipeline elucidating functions of conserved hypothetical Trypanosoma cruzi proteins based on public proteomic data, Functional Proteomics based on Protein Microarray Technology for Biomedical Research, and an Analysis of endoglucanases production using proteomics and metatranscriptomics. - Includes new information about Protein Aggregation - Presents chapters by a wide range of leading experts - Cover new, cutting-edge information that will serve as an essential addition to any bookshelf or laboratory
International Review in Neurobiology serial highlights new advances in the field with this new volume presenting interesting chapters. Each chapter is written by an international board of authors. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in International Review on Neurobiology series - Updated release includes the latest information on Motor Neuron Disease
Integrative Omics in Parkinson's Disease provides a comprehensive understanding of the current literature on high-throughput technologies relating to discoveries for Parkinson's disease etiology. This emerging field uses large omics datasets to investigate the etiology of Parkinson's disease and other forms of parkinsonism. The book traces the evolution of omics technologies from the discovery of monogenic Parkinson's disease forms. Chapters delve into genomics, transcriptomics, epigenomics, artificial intelligence, and gene-environment interactions. Furthermore, it examines the potential therapeutic applications of these advancements and provides insights into the future of omics research in Parkinson's disease. - Reviews evolution of omics technologies from the first identification of monogenic forms of Parkinson's disease - Outlines machine learning algorithm application to Parkinson's disease datasets - Reviews big datasets on gene-environment interactions, genomics, epigenetics, and transcriptomics - Identifies how the microbiome influences Parkinson's disease in mouse models and patients - Provides outlook for therapies with induced-pluripotent stem cell models
Since their development a decade ago, human induced pluripotent stem cells (iPSC) have revolutionized the study of human disease, given rise to regenerative medicine technologies, and provided exceptional opportunities for pharmacologic research. These cells provide an essentially unlimited supply of cell types that are difficult to obtain from patients, such as neurons or cardiomyocytes, or are difficult to maintain in primary cell culture. iPSC can be obtained from patients afflicted with a particular disease but, in combination with recently developed gene editing techniques, can also be modified to generate disease models. Moreover, the new techniques of 3 Dimensional printing and materials science facilitate the generation of organoids that can mirror organs under disease conditions. These properties make iPSC powerful tools to study how diseases develop and how they may be treated. In addition, iPSC can also be used to treat conditions in which the target cell population has been lost and such regenerative approaches hold great promise for currently untreatable diseases, including cardiac failure or photoreceptor degenerations.