Computation in BioInformatics
Multidisciplinary Applications
- English
- PDF
- Available on iOS & Android
Computation in BioInformatics
Multidisciplinary Applications
About this book
COMPUTATION IN BIOINFORMATICS
Bioinformatics is a platform between the biology and information technology and this book provides readers with an understanding of the use of bioinformatics tools in new drug design.
The discovery of new solutions to pandemics is facilitated through the use of promising bioinformatics techniques and integrated approaches. This book covers a broad spectrum of the bioinformatics field, starting with the basic principles, concepts, and application areas. Also covered is the role of bioinformatics in drug design and discovery, including aspects of molecular modeling. Some of the chapters provide detailed information on bioinformatics related topics, such as silicon design, protein modeling, DNA microarray analysis, DNA-RNA barcoding, and gene sequencing, all of which are currently needed in the industry. Also included are specialized topics, such as bioinformatics in cancer detection, genomics, and proteomics. Moreover, a few chapters explain highly advanced topics, like machine learning and covalent approaches to drug design and discovery, all of which are significant in pharma and biotech research and development.
Audience
Researchers and engineers in computation biology, information technology, bioinformatics, drug design, biotechnology, pharmaceutical sciences.
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Information
Table of contents
- Cover
- Half-Title Page
- Series Page
- Title Page
- Copyright Page
- Contents
- Preface
- 1 Bioinfomatics as a Tool in Drug Designing
- 2 New Strategies in Drug Discovery
- 3 Role of Bioinformatics in Early Drug Discovery: An Overview and Perspective
- 4 Role of Data Mining in Bioinformatics
- 5 In Silico Protein Design and Virtual Screening
- 6 New Bioinformatics Platform-Based Approach for Drug Design
- 7 Bioinformatics and Its Application Areas
- 8 DNA Microarray Analysis: From Affymetrix CEL Files to Comparative Gene Expression
- 9 Machine Learning in Bioinformatics
- 10 DNA-RNA Barcoding and Gene Sequencing
- 11 Bioinformatics in Cancer Detection
- 12 Genomic Association of Polycystic Ovarian Syndrome: Single-Nucleotide Polymorphisms and Their Role in Disease Progression
- 13 An Insight of Protein Structure Predictions Using Homology Modeling
- 14 Basic Concepts in Proteomics and Applications
- 15 Prospects of Covalent Approaches in Drug Discovery: An Overview
- Index
- Also of Interest
- EULA