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Advanced Bioremediation Technologies and Processes for the Treatment of Synthetic Organic Compounds (SOCs)
Dr. Datta Madamwar holds a provisional patent related to the theme of this Research Topic. All other Topic Editors declare no competing interests with regards to the Research Topic subject.
Computational and Experimental Protein Variant Interpretation in the Era of Precision Medicine
One of the key goals in the postgenomic era is the elucidation of the mechanisms underlying the relationship between genotype and phenotype. In particular, understanding how human genetic and somatic variations are associated with diseases is still an open problem and its solution is a crucial issue for exploiting the possibilities offered by the modern sequencing techniques in the framework of precision and personalized medicine. The increasing amount of data generated by the sequencing initiatives calls for accurate and reliable computational approaches to predict the impact of mutations on the phenotype, and possibly for methods to correlate them with diseases. From the experimental point of view, disease-causing variants are supposed to directly affect protein function, protein stability as well as the kinetics and thermodynamics of protein-protein recognition, and robust validation at the molecular scale is necessary. This approach can be of invaluable help in facing new challenges such as the fast development of effective vaccines.
Plastic Waste Trade
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Bioinformatics for Plant Research and Crop Breeding
Explore and advance bioinformatics and systems biology tools for crop breeding programs in this practical resource for researchers Plant biology and crop breeding have produced an immense amount of data in recent years, from genomics to interactome and beyond. Bioinformatics tools, which aim at analyzing the vast quantities of data produced by biological research and processes, have developed at a rapid pace to meet the challenges of this vast data trove. The resulting field of bioinformatics and systems biology is producing increasingly rich and transformative research. Bioinformatics for Plant Research and Crop Breeding offers an overview of this field, its recent advances, and its wider a...
Integrins in Health and Disease
Integrins are heterodimeric cell surface receptors which anchor cells to different extracellular matrix proteins or act as cell-cell receptors. They play pivotal roles not only across a wide range of physiological processes including tissue morphogenesis, wound healing, and regulation of cell growth, but also in numerous pathological conditions such as autoimmunity, infectious disease, and carcinogenesis. This book aims to provide readers a summary of the most important integrins and their respective biological functions. Readers will learn about knockout- and animal models to study the functionality of key collagen-, laminin-, and nephronectin-binding integrins. Additionally, the role of in...
The Pathogenic Yersiniae – Advances in the Understanding of Physiology and Virulence, Volume II
Pathogenic Yersinia consist of the prominent human pathogens Y. pestis, Y. enterocolitica, and Y. pseudotuberculosis, the fish pathogen Y. ruckeri, as well as a number of insect pathogens. Facilitated by the ease of in vitro culturing, genetic tractability, and availability of relevant infection models, studies of pathogenic Yersinia have revealed a great deal about physiological processes at the molecular level that contribute to pathogen adaptation to the ever changing environments both inside and outside of the host. Comprehensive genome sequencing analyses has further benefitted understanding of this bacterial pathogen evolution. Critically, many of these detailed molecular studies also identified potential targets for the design and development of anti-bacterial therapeutic drugs that could help to fight the ever-increasing problem of resistance to conventional antibiotics. New developments in several of these areas are highlighted in this edition of the Research Topic “The Pathogenic Yersiniae – Advances in the Understanding of Physiology and Virulence, Second Edition”.
Genetic variants and metabolic diseases, volume II
Metabolic syndrome (MetS) is a set of co-morbidities that collectively increase an individual’s risk of developing cardiovascular disease, stroke, and type 2 diabetes mellitus (T2D). Per the World Health Organization (WHO), MetS is typically characterized by obesity, insulin resistance, hypertension, and hyperlipidemia. Building on this point, some of the major risk factors for development of MetS include increased weight or an obese phenotype, lack of physical activity, and genetics. Interestingly, the last decade has witnessed a deluge of Genome-Wide Association Studies (GWAS) that have linked hundreds of genomic with both collective MetS traits, as well as individual metabolic disorders...
