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Women in Chemistry 2022
We are delighted to present the 2022 Women in Chemistry article collection. Following the celebration of International Women’s Day 2022, the UNESCO International Day of Women and Girls in Science, Frontiers in Chemistry is proud to offer this platform to promote the work of women scientists, across all branches of Chemistry. At present, less than 30% of researchers worldwide are women. Long-standing biases and gender stereotypes are discouraging girls and women away from science-related fields, and STEM research in particular. Chemistry is no exception to this. Science and gender equality are, however, essential to ensure sustainable development as highlighted by UNESCO. In order to change traditional mindsets, gender equality must be promoted, stereotypes defeated, and girls and women should be encouraged to pursue STEM careers.
In Silico Methods for Drug Design and Discovery
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Frontiers in Chemistry: Rising Stars 2022
We are delighted to present the 2022 Edition of our Frontiers in Chemistry “Rising Stars” article collection. This collection showcases the high-quality work of internationally recognized researchers in the early stages of their independent careers. All Rising Star researchers were individually nominated by our Guest Editors and Chief Editors in recognition of their potential to influence the future directions in their respective fields. This year, we have selected Guest Editors who were featured as our Rising Stars in our previous collection together with Editorial Board members. The work presented here highlights the diversity of research performed across the entire breadth of chemical science and presents advances in theory, experiment and methodology with applications to compelling problems.
Virtual Drug Design
In the current drug research environment in academia and industry, cheminformatics and virtual screening methods are well established and integrated tools. Computational tools are used to predict a compound’s 3D structure, the 3D structure and function of a pharmacological target, ligand-target interactions, binding energies, and other factors essential for a successful drug. This includes molecular properties such as solubility, logP value, susceptibility to metabolism, cell permeation, blood brain barrier permeation, interaction with drug transporters and potential off-target effects. Given that approximately 40 million unique compounds are readily available for purchase, such computational modeling and filtering tools are essential to support the drug discovery and development process. The aim of all these calculations is to focus experimental efforts on the most promising candidates and exclude problematic compounds early in the project. In this Research Topic on virtual activity predictions, we cover several aspects of this research area such as historical perspectives, data sources, ligand treatment, virtual screening methods, hit list handling and filtering.
Computational Approaches for Identifying Drugs Against Alzheimer's Disease
Alzheimer’s disease is the most common form of dementia which is incurable. Although some kinds of memory loss are normal during aging, these are not severe enough to interfere with the level of function. ß-Secretase is an important protease in the pathogenesis of Alzheimer’s disease. Some statine-based peptidomimetics show inhibitory activities to the ß-secretase. To explore the inhibitory mechanism, molecular docking and three-dimensional quantitative structure-activity relationship (3D-QSAR) studies on these analogues were performed. Quantitative structure-activity relationship (QSAR) modeling pertains to the construction of predictive models of biological activities as a function o...
Structure-Based Drug Design for Diagnosis and Treatment of Neurological Diseases
European Cooperation in Science and Technology (COST) supports the collaboration of nationally-funded science and technology research through the creation of networks. COST is the longest-running European framework enhancing cooperation among researchers, engineers and scholars across Europe. The COST Action CM1103 “Structure-based drug design for diagnosis and treatment of neurological diseases: dissecting and modulating complex function in the monoaminergic systems of the brain” is a good example of the advances possible through interdisciplinary collaboration on difficult problems. COST Action CM1103 brought together 28 research groups from 18 countries to collaborate for four years o...
Natural Products from Marine Microorganisms
Natural products continue to serve as sources for the development of new medicines. There is currently a revival of interest in the discovery of bioactive compounds with new chemical structures from natural sources, largely due to the fact that synthetic libraries have not yielded the expected number of developmental candidates in the pharmaceutical industry during the last decade. In addition, the emergence of clinically relevant pathogens that are becoming increasingly resistant to currently used medicines strengthens the notion that natural product research is urgently required. Considering the fact that almost 10% of bioactive compounds are of microbial origin, and that marine microorganisms are relatively poorly studied compared to their terrestrial relatives, marine microorganisms are regarded as the most potential-laden resource for drug discovery.
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