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Clustering in Bioinformatics and Drug Discovery

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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Clustering in Bioinformatics and Drug Discovery

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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Integrative Cluster Analysis in Bioinformatics

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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Bioinformatics and Drug Discovery

. 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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Bioinformatics

of bioinformatics, focusing on analysis of genome-wide association data, computational diagnostic, and drug discovery. The final section describes four;

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Bioinformatics Research

and protein bioinformatics for drug discovery.;

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Advances in Bioinformatics

, 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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Molecular Adv Tropical Disease Drug Disc

, epidemiology, drugs against various tropical diseases, new target sites for drug discovery and multidrug resistance issues using bioinformatics tools;

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Pattern Recognition in Bioinformatics

knowledge discovery; protein: structure, function, and interaction; motifs, sites, and sequence analysis.;

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Analog and Structural Drug Designing on Swine Flu Inhibitors

This work gives a good explanation about bioinformatics- Drug Designing(Docking, Pharmacophore, QSAR) using discovery studio 2.5. As;

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Bioinformatics and RNA

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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Bioinformatics and Biomedical Engineering

monitoring; clustering and analysis of biological sequences with optimization algorithms; and computational approaches for drug repurposing and;

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G Protein-Coupled Receptors in Drug Discovery

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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G Protein-Coupled Receptors in Drug Discovery

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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Bioinformatics and Computational Biology in Drug Discovery and Development

current drug development process and how computational biology approaches play a critical role across the entire drug discovery pipeline. Through;

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Deep Learning in Bioinformatics

it can be utilized for addressing important problems in bioinformatics, including drug discovery, de novo molecular design, sequence analysis;

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Bioinformatics

, 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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Bioinformatics and Computational Biology in Drug Discovery and Development

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

NEGLECTED TROPICAL DISEASES AND PHYTOCHEMICALS IN DRUG DISCOVERY Explore novel drug discovery updates from medicinal plants to help fight;

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Drug Discovery Research

Post Genomics Drug Discovery and Research explores and discusses some of the most important topics in post-genomics life and;

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Translational Bioinformatics in Healthcare and Medicine

technology, patient centered interoperability of EHR, health data mining, and translational bioinformatics methods for drug discovery and drug;

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Membrane Transporters in Drug Discovery and Development

. In Membrane Transporters in Drug Discovery and Development: Methods and Protocols, expert researchers provide practical methodologies of the ongoing;

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Bioinformatics

. 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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Information Technology in Bio and Medical Informatics

bioinformatics; medical image and data processing; and knowledge discovery and machine learning in medicine.;

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Advances in Mathematical Chemistry and Applications: Volume 2

applications in the field of drug discovery, bioinformatics, chemoinformatics, computational biology, mathematical proteomics, and ecotoxicology.

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Bioinformatics

such as machine learning algorithms, pattern recognition, data mining and visualization are used. Drug discovery and design, gene finding;

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Data Analytics in Bioinformatics

becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines;

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