This book offers a detailed overview of translational bioinformatics together with real-case applications. Translational bioinformatics integrates the areas of basic bioinformatics, clinical informatics, statistical genetics and informatics in order to further our understanding of the molecular basis of diseases. By analyzing voluminous amounts of molecular and clinical data, it also provides clinical information, which can then be applied. Filling the gap between clinic research and informatics, the book is a valuable resource for human geneticists, clinicians, health educators and policy makers, as well as graduate students majoring in biology, biostatistics, and bioinformatics.
Arvustused
This translational bioinformatics book addresses the drug discovery process, selected aspects of precision medicine, and analytics and modeling approaches with examples. It appears to be of primary interest to graduate students in bioinformaticsrelated areas and to established researchers in related fields looking for an overview of current approaches with examples. (David M. Liebovitz, Doody's Book Reviews, July, 2017)
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Part I Computer-Aided Drug Discovery |
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3 | (26) |
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2 Translational Bioinformatics and Drug Discovery |
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29 | (26) |
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Pramodkumar Pyarelal Gupta |
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3 Translational Research in Drug Discovery and Development |
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55 | (34) |
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4 Exploring the Potential of Herbal Ligands Toward Multidrug-Resistant Bacterial Pathogens by Computational Drug Discovery |
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89 | (32) |
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Part II Protein-Ligand Interactions and Drug Development |
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5 The Progress of New Targets of Anti-HIV and Its Inhibitors |
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121 | (14) |
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6 Recent Studies on Mechanisms of New Drug Candidates for Alzheimer's Disease Interacting with Amyloid-β Protofibrils Using Molecular Dynamics Simulations |
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135 | (18) |
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7 Homology Modelling, Structure-Based Pharmacophore Modelling, High-Throughput Virtual Screening and Docking Studies of L-Type Calcium Channel for Cadmium Toxicity |
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153 | (24) |
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8 Natural Compounds Are Smart Players in Context to Anticancer Potential of Receptor Tyrosine Kinases: An In Silico and In Vitro Advancement |
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177 | (28) |
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Part III Omics for Precision Medicine |
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9 Genome-Wide Association Studies: A Comprehensive Tool to Explore Comparative Genomic Variations and Interactions |
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205 | (18) |
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10 A Survey of Bioinformatics-Based Tools in RNA-Sequencing (RNA-Seq) Data Analysis |
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223 | (26) |
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11 Epigenetics and Its Role in Human Cancer |
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249 | (20) |
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12 Methods for Microbiome Analysis |
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269 | (30) |
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13 Pharmacogenomics: Clinical Perspective, Strategies, and Challenges |
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299 | (38) |
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Part IV Biostatistics, Bioinformatics, and System Biology Approaches to Complex Diseases |
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14 Computational Network Approaches and Their Applications for Complex Diseases |
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337 | (16) |
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15 Bioinformatics Applications in Clinical Microbiology |
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353 | (18) |
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Part V Bioimaging and Other Applications of Informatics Techniques in Translational Medicine |
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16 Artificial Intelligence and Automatic Image Interpretation in Modern Medicine |
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371 | (38) |
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17 Computation in Medicine: Medical Image Analysis and Visualization |
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409 | (26) |
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Adekunle Micheal Adeshina |
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| Index |
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435 | |
Dongqing Wei is a professor at the State Key Laboratory of Microbial Metabolism and acting head of Department of Bioinformatics and Biostatistics, College of Life Science and Biotechnology, Shanghai Jiao Tong University. He also serves as the editor-in-chief for the journal Interdisciplinary Sciences Computational Life Sciences and on the editorial board of several journals, such as the Journal of Molecular Graphics and Modeling, the Journal of Biomedical Science and Engineering and the International Journal of Biomedical Engineering and Consumer Health Informatics. His research interests focus on structural bioinformatics and biophysics, and he has published more than 150 research articles in leading journals.
Yilong Ma is an associate investigator at the Feinstein Institute for Medical Research. He is also core leader (PET) of the Imaging Core at the Feinstein Institutes Halth Morris K. Udall Center of Excellence for Parkinson's Disease Research. Dr. Ma specializes inthe development and application of innovative brain imaging methodology for mechanistic studies of neurodegenerative diseases. He has published over 80 peer-reviewed articles and book chapters on patient-oriented translational research in neurodegenerative and neuropsychiatric disorders.
William CS Cho is a scientific officer at the Department of Clinical Oncology at Queen Elizabeth Hospital. He serves as the editor-in-chief, editor and associate editor of a number of international medical journals, such as Translational Genetics and Genomics and Clinical Medicine Insights: Oncology. His research focuses on molecular oncology, tumor marker discovery and bioinformatics, and he has published more than 200 articles in these fields.
Qin Xu is an associate investigator at the College of Life Sciences and Biotechnology, Shanghai Jiao Tong University. His research focuses on computational structural biology. Dr. Xu has published more than 20 research articles in this field.
Fengfeng Zhou is a professor at the College of Computer Science and Technology, Jilin University. He serves as the associate editor for the journal Frontiers in Bioinformatics and Computational Biology, and is a board member for a number of other international journals. His research focuses on computational characterization of genome variations and biomarkers for mammalian genetic diseases. He has published more than 40 research articles in these fields.
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