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This new edition continues to illustrate the power of biological data in knowledge discovery. It describes biological data types and representations with examples for creating a workflow in bioinformation discovery. The concepts in knowledge discovery from data are illustrated using line diagrams. The principles and concepts in knowledge discovery are used for the development of prediction models for simulations of biological reactions and events. Advanced topics in molecular evolution and cellular & molecular biology are addressed using bioinformation gleaned through discovery. Each chapter contains approximately 10 exercises for practice. This will help students to expand their problem solving skills in Bioinformation Discovery. In this new edition, there are three new chapters covering single nucleotide polymorphism, genes, proteins and disease, and protein functions driven by surface electrostatics. .

Bioinformatics --- Statistical methods. --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Data processing --- Bioinformatics. --- Immunology. --- Vaccines. --- Biochemistry. --- Computational Biology/Bioinformatics. --- Vaccine. --- Protein Structure. --- Biological chemistry --- Chemical composition of organisms --- Organisms --- Physiological chemistry --- Chemistry --- Medical sciences --- Biologicals --- Immunobiology --- Life sciences --- Serology --- Composition --- Proteins . --- Proteids --- Biomolecules --- Polypeptides --- Proteomics

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This new edition continues to illustrate the power of biological data in knowledge discovery. It describes biological data types and representations with examples for creating a workflow in bioinformation discovery. The concepts in knowledge discovery from data are illustrated using line diagrams. The principles and concepts in knowledge discovery are used for the development of prediction models for simulations of biological reactions and events. Advanced topics in molecular evolution and cellular & molecular biology are addressed using bioinformation gleaned through discovery. Each chapter contains approximately 10 exercises for practice. This will help students to expand their problem solving skills in Bioinformation Discovery. In this new edition, there are three new chapters covering single nucleotide polymorphism, genes, proteins and disease, and protein functions driven by surface electrostatics. .

Chemical structure --- Biomathematics. Biometry. Biostatistics --- General biochemistry --- Molecular biology --- Immunology. Immunopathology --- Medical microbiology, virology, parasitology --- Programming --- immunologie --- vaccins --- moleculaire structuur --- bio-informatica --- biochemie --- vaccinatie --- eiwitten --- biometrie --- moleculaire biologie

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This book illustrates the importance and significance of the molecular (physical and chemical) and evolutionary (gene fusion) principles of protein-protein and domain-domain interactions towards the understanding of cell division, disease mechanism and target definition in drug discovery. It describes the complex issues associated with this phenomenon using cutting edge advancement in Bioinformatics and Bioinformation Discovery. The chapters provide current information pertaining to the types of protein-protein complexes (homodimers, heterodimers, multimer complexes) in context with various specific and sensitive biological functions. The significance of such complex formation in human biology in the light of molecular evolution is also highlighted using several examples. The chapters also describe recent advancements on the molecular principles of protein-protein interaction with reference to evolution towards target identification in drug discovery. Finally, the book also elucidates a comprehensive yet a representative description of a large number of challenges associated with the molecular interaction of proteins.

Protein-protein interactions. --- Medicine. --- Medical genetics. --- Vaccines. --- Bioinformatics. --- Proteins. --- Biomedicine. --- Gene Function. --- Computational Biology/Bioinformatics. --- Protein Science. --- Vaccine. --- Proteids --- Biomolecules --- Polypeptides --- Proteomics --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Biologicals --- Clinical genetics --- Diseases --- Heredity of disease --- Human genetics --- Medical sciences --- Pathology --- Genetic disorders --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Physicians --- Data processing --- Genetic aspects --- Biochemistry. --- Biological chemistry --- Chemical composition of organisms --- Organisms --- Physiological chemistry --- Chemistry --- Composition --- Proteins .

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Bioinformatics: A Concept-Based Introduction is provides a balance of information on computational methods and biological information. Instead of delving in depth, a broad but necessary overview is provided for each topic, resulting in content that will benefit readers with different levels of expertise. This book contains contributions from experts in the field on emerging topics like Immunoinformatics, Genomics and Proteomics. It discusses real-world problems with Bioinformatics solutions, cites important URLs and contains selected chapter exercises to reinforce concepts.

Bioinformatics. --- Biology --- Biological Science Disciplines --- Natural Science Disciplines --- Disciplines and Occupations --- Computational Biology --- Health & Biological Sciences --- Biology - General --- Computational biology. --- Bio-informatics --- Biological informatics --- Life sciences. --- Agriculture. --- Life Sciences. --- Information science --- Computational biology --- Systems biology --- Bioinformatics --- Data processing --- Farming --- Husbandry --- Industrial arts --- Life sciences --- Food supply --- Land use, Rural

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Biomathematics. Biometry. Biostatistics --- bio-informatica --- biometrie