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MultiScale Approaches In Drug Discovery From Empirical Kn

 
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MessagePosté le: Ven 7 Juil - 19:26 (2017)    Sujet du message: MultiScale Approaches In Drug Discovery From Empirical Kn Répondre en citant


Multi-Scale Approaches in Drug Discovery: From Empirical Knowledge to In silico Experiments and Back
by Alejandro Speck-Planche



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Drug discovery is an expensive, time-consuming process and the modern drug discovery community is constantly challenged not only with discovering novel bioactive agents to combat resistance from known diseases and fight against new ones, but to do so in a way that is economically effective. Advances in both experimental and theoretical/computational methods envisage that the greatest challenges in drug discovery can be most successfully addressed by using a multi-scale approach, drawing on the specialties of a whole host of different disciplines. Multi-Scale Approaches to Drug Discovery furnishes chemists with the detail they need to identify drug leads with the highest potential before isolating and synthesizing them to produce effective drugs with greater swiftness than classical methods may allow. This significantly speeds up the search for more efficient therapeutic agents.

After an introduction to multi-scale approaches outlining the need for and benefits of their use, the book goes on to explore a range of useful techniques and research areas, and their potential applications to this process. Profiling drug binding by thermodynamics, machine learning for predicting enzyme sub-classes, and multitasking models for computer-aided design and virtual compound screening are discussed, before the book goes on to review Alkaloid Menispermaceae leads, natural chemotherapeutic agents and methods for speeding up the design and virtual screening of therapeutic peptides. Flavonoids as multi-target compounds are then explored, before the book concludes with a review of Quasi-SMILES as a novel tool.

Collecting together reviews and original research contributions written by leading experts in the field, Multi-Scale Approaches to Drug Discovery highlights cutting-edge approaches and practical examples of their implementation for those involved in the drug discovery process at many different levels. Using the combined knowledge of medicinal, computational, pharmaceutical and bio- chemists, it aims to support growth in the multi-scale approach to promote greater success in the development of new drugs.
<ul><li>Offers practical guidance on ways to implement multiscale approaches for increased efficiency in drug discovery</li><li>Draws on the experience of a highly skilled team of authors under the editorial guidance of one of the field's leading experts</li><li>Includes cutting-edge techniques at the forefront of medicinal chemistry and drug discovery optimization</li></ul>







Multi-Scale Approaches in Drug Discovery: From Empirical Knowledge to In silico Experiments and Back kindle download free





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Multi-scale approaches in drug discovery : from empirical knowledge to in silico experiments and back ..a knowledge-based approach to identify ligand-anchoring atoms in protein ...
drug discoverySpeck-Planche (Ed.), Multi-Scale Approaches in Drug Discovery: From Empirical Knowledge to In Silico Experiments and Back 2017, -, 191–221.
Encyclopedia of Drug Discovery and Development: ..Knowledge to in Silico Experiments and BackAdvanced Chemoinformatic Models in Drug Discovery.
in silico structure-based drug design – SHIFTING THE Read more about discovery, silico, drug, companies, methods and virtualMulti-Scale Approaches to Drug Discovery furnishes chemists with the detail ...
Multi-Scale Approaches in Drug Discovery: From Empirical Knowledge to In silico Experiments and BackBiological Assays to in Silico Experiments and BackIndex 07f867cfac


Here, a fragment-based QSAR model was developedElectronic address: December 2014 Download Full Paper The model had a sensitivity of 88.36% and specificity 89.81% in training seriesIn an attempt to overcome this problem, two models for the design and prediction of new antituberculosis agents were obtainedAuthors: Alejandro Speck-Planche, Valeria V Kleandrova, Feng Luan, M Natlia D S CordeiroAnticancer Agents Med Chem 2012 Jul;12(6):678-85Department of Chemistry and Biochemistry, University of Porto, 4169-007 Porto, Portugal
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