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With a DVD of color figures, Clustering in Bioinformatics and Drug Discovery provides an expert guide on extracting the most pertinent;
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With a DVD of color figures, Clustering in Bioinformatics and Drug Discovery provides an expert guide on extracting the most pertinent;
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understanding diseases and future drug discovery. This book details the complete pathway of cluster analysis, from the basics of molecular biology to;
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. Cutting-edge and thorough, Bioinformatics and Drug Discovery, Third Edition is a valuable resource for anyone interested in drug design, including;
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of bioinformatics, focusing on analysis of genome-wide association data, computational diagnostic, and drug discovery. The final section describes four;
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and protein bioinformatics for drug discovery.;
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, metabolism and cheminformatics analysis, as well as in drug discovery and development. It covers tools, data mining and analysis, protein analysis;
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, epidemiology, drugs against various tropical diseases, new target sites for drug discovery and multidrug resistance issues using bioinformatics tools;
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knowledge discovery; protein: structure, function, and interaction; motifs, sites, and sequence analysis.;
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This work gives a good explanation about bioinformatics- Drug Designing(Docking, Pharmacophore, QSAR) using discovery studio 2.5. As;
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therapeutics and drug discovery. Implementation of algorithms in a DotNet Framework with code and complete insight on the state-of-the-art and recent;
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monitoring; clustering and analysis of biological sequences with optimization algorithms; and computational approaches for drug repurposing and;
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Receptors in Drug Discovery describes the physiological roles of GPCRs and their involvement in various human diseases. The book presents current;
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Receptors in Drug Discovery describes the physiological roles of GPCRs and their involvement in various human diseases. The book presents current;
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current drug development process and how computational biology approaches play a critical role across the entire drug discovery pipeline. Through;
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it can be utilized for addressing important problems in bioinformatics, including drug discovery, de novo molecular design, sequence analysis;
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, is essential to the use of genomic information in understanding human diseases and in the identification of new molecular targets for drug discovery;
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current drug development process and how computational biology approaches play a critical role across the entire drug discovery pipeline. Through;
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NEGLECTED TROPICAL DISEASES AND PHYTOCHEMICALS IN DRUG DISCOVERY Explore novel drug discovery updates from medicinal plants to help fight;
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Post Genomics Drug Discovery and Research explores and discusses some of the most important topics in post-genomics life and;
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technology, patient centered interoperability of EHR, health data mining, and translational bioinformatics methods for drug discovery and drug;
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. In Membrane Transporters in Drug Discovery and Development: Methods and Protocols, expert researchers provide practical methodologies of the ongoing;
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. Research in this field focuses in the areas of gene finding, drug design, drug discovery, protein-protein interactions, modeling of evolution, etc;
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bioinformatics; medical image and data processing; and knowledge discovery and machine learning in medicine.;
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applications in the field of drug discovery, bioinformatics, chemoinformatics, computational biology, mathematical proteomics, and ecotoxicology.
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such as machine learning algorithms, pattern recognition, data mining and visualization are used. Drug discovery and design, gene finding;
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becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines;
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