Pharmaceutical Data Mining: Approaches and Applications for Drug Discovery
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About this ebook
In the era of post-genomic drug development, extracting and applying knowledge from chemical, biological, and clinical data is one of the greatest challenges facing the pharmaceutical industry. Pharmaceutical Data Mining brings together contributions from leading academic and industrial scientists, who address both the implementation of new data mining technologies and application issues in the industry. This accessible, comprehensive collection discusses important theoretical and practical aspects of pharmaceutical data mining, focusing on diverse approaches for drug discovery—including chemogenomics, toxicogenomics, and individual drug response prediction. The five main sections of this volume cover:
- A general overview of the discipline, from its foundations to contemporary industrial applications
- Chemoinformatics-based applications
- Bioinformatics-based applications
- Data mining methods in clinical development
- Data mining algorithms, technologies, and software tools, with emphasis on advanced algorithms and software that are currently used in the industry or represent promising approaches
In one concentrated reference, Pharmaceutical Data Mining reveals the role and possibilities of these sophisticated techniques in contemporary drug discovery and development. It is ideal for graduate-level courses covering pharmaceutical science, computational chemistry, and bioinformatics. In addition, it provides insight to pharmaceutical scientists, principal investigators, principal scientists, research directors, and all scientists working in the field of drug discovery and development and associated industries.
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Titles in the series (11)
Drug Efficacy, Safety, and Biologics Discovery: Emerging Technologies and Tools Rating: 0 out of 5 stars0 ratingsPathway Analysis for Drug Discovery: Computational Infrastructure and Applications Rating: 0 out of 5 stars0 ratingsThe Engines of Hippocrates: From the Dawn of Medicine to Medical and Pharmaceutical Informatics Rating: 0 out of 5 stars0 ratingsPharmaceutical Data Mining: Approaches and Applications for Drug Discovery Rating: 0 out of 5 stars0 ratingsSystems Biology in Drug Discovery and Development Rating: 0 out of 5 stars0 ratingsThe Agile Approach to Adaptive Research: Optimizing Efficiency in Clinical Development Rating: 0 out of 5 stars0 ratingsPredictive Approaches in Drug Discovery and Development: Biomarkers and In Vitro / In Vivo Correlations Rating: 0 out of 5 stars0 ratingsCollaborative Computational Technologies for Biomedical Research Rating: 0 out of 5 stars0 ratingsPharmaceutical and Biomedical Project Management in a Changing Global Environment Rating: 0 out of 5 stars0 ratingsCollaborative Innovation in Drug Discovery: Strategies for Public and Private Partnerships Rating: 0 out of 5 stars0 ratingsComputational Toxicology: Risk Assessment for Chemicals Rating: 0 out of 5 stars0 ratings
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