Approaching Complex Diseases

Approaching Complex Diseases

Author: Mariano Bizzarri

Publisher: Springer Nature

Published: 2020-04-17

Total Pages: 493

ISBN-13: 3030328570

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This volume – for pharmacologists, systems biologists, philosophers and historians of medicine – points to investigate new avenues in pharmacology research, by providing a full assessment of the premises underlying a radical shift in the pharmacology paradigm. The pharmaceutical industry is currently facing unparalleled challenges in developing innovative drugs. While drug-developing scientists in the 1990s mostly welcomed the transformation into a target-based approach, two decades of experience shows that this model is failing to boost both drug discovery and efficiency. Selected targets were often not druggable and with poor disease linkage, leading to either high toxicity or poor efficacy. Therefore, a profound rethinking of the current paradigm is needed. Advances in systems biology are revealing a phenotypic robustness and a network structure that strongly suggest that exquisitely selective compounds, compared with multitarget drugs, may exhibit lower than desired clinical efficacy. This appreciation of the role of polypharmacology has significant implications for tackling the two major sources of attrition in drug development, efficacy and toxicity. Integrating network biology and polypharmacology holds the promise of expanding the current opportunity space for druggable targets.


Book Synopsis Approaching Complex Diseases by : Mariano Bizzarri

Download or read book Approaching Complex Diseases written by Mariano Bizzarri and published by Springer Nature. This book was released on 2020-04-17 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume – for pharmacologists, systems biologists, philosophers and historians of medicine – points to investigate new avenues in pharmacology research, by providing a full assessment of the premises underlying a radical shift in the pharmacology paradigm. The pharmaceutical industry is currently facing unparalleled challenges in developing innovative drugs. While drug-developing scientists in the 1990s mostly welcomed the transformation into a target-based approach, two decades of experience shows that this model is failing to boost both drug discovery and efficiency. Selected targets were often not druggable and with poor disease linkage, leading to either high toxicity or poor efficacy. Therefore, a profound rethinking of the current paradigm is needed. Advances in systems biology are revealing a phenotypic robustness and a network structure that strongly suggest that exquisitely selective compounds, compared with multitarget drugs, may exhibit lower than desired clinical efficacy. This appreciation of the role of polypharmacology has significant implications for tackling the two major sources of attrition in drug development, efficacy and toxicity. Integrating network biology and polypharmacology holds the promise of expanding the current opportunity space for druggable targets.


Approaching Complex Diseases

Approaching Complex Diseases

Author: Mariano Bizzarri

Publisher:

Published: 2020

Total Pages: 493

ISBN-13: 9783030328580

DOWNLOAD EBOOK

This volume - for pharmacologists, systems biologists, philosophers and historians of medicine - points to investigate new avenues in pharmacology research, by providing a full assessment of the premises underlying a radical shift in the pharmacology paradigm. The pharmaceutical industry is currently facing unparalleled challenges in developing innovative drugs. While drug-developing scientists in the 1990s mostly welcomed the transformation into a target-based approach, two decades of experience shows that this model is failing to boost both drug discovery and efficiency. Selected targets were often not druggable and with poor disease linkage, leading to either high toxicity or poor efficacy. Therefore, a profound rethinking of the current paradigm is needed. Advances in systems biology are revealing a phenotypic robustness and a network structure that strongly suggest that exquisitely selective compounds, compared with multitarget drugs, may exhibit lower than desired clinical efficacy. This appreciation of the role of polypharmacology has significant implications for tackling the two major sources of attrition in drug development, efficacy and toxicity. Integrating network biology and polypharmacology holds the promise of expanding the current opportunity space for druggable targets.


Book Synopsis Approaching Complex Diseases by : Mariano Bizzarri

Download or read book Approaching Complex Diseases written by Mariano Bizzarri and published by . This book was released on 2020 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume - for pharmacologists, systems biologists, philosophers and historians of medicine - points to investigate new avenues in pharmacology research, by providing a full assessment of the premises underlying a radical shift in the pharmacology paradigm. The pharmaceutical industry is currently facing unparalleled challenges in developing innovative drugs. While drug-developing scientists in the 1990s mostly welcomed the transformation into a target-based approach, two decades of experience shows that this model is failing to boost both drug discovery and efficiency. Selected targets were often not druggable and with poor disease linkage, leading to either high toxicity or poor efficacy. Therefore, a profound rethinking of the current paradigm is needed. Advances in systems biology are revealing a phenotypic robustness and a network structure that strongly suggest that exquisitely selective compounds, compared with multitarget drugs, may exhibit lower than desired clinical efficacy. This appreciation of the role of polypharmacology has significant implications for tackling the two major sources of attrition in drug development, efficacy and toxicity. Integrating network biology and polypharmacology holds the promise of expanding the current opportunity space for druggable targets.


Approaches to Gene Mapping in Complex Human Diseases

Approaches to Gene Mapping in Complex Human Diseases

Author: Jonathan L. Haines

Publisher: Wiley-Liss

Published: 1998-10-08

Total Pages: 472

ISBN-13:

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Overview of mapping common and genetically complex human disease traits (J. L. Haines, M. A. Pericak-Vance). Basic concepts in genetics (M. C. Speer). Defining disease phenotypes (A. S. Aylsworth). Basic concepts in linkage analysis ( M. A. Pericak-Vance). Determining the genetic component of a disease (L. A. Farrer, L. A. Cupples). Patient and family participation in genetic research studies (P. E. Cohen, C. Wolpert). Sample size and power (M. C. Speer). The collection of biological samples for DNA analysis (J. M. Vance). Methods of genotyping (J. M. Vance, K. B. Othmane). Database design for gene mapping studies (C. Haynes, C. Blach). Genomic screening (J. L. Haines). Lod score analysis (J. Xu, D. A. Meyers, M. A. Pericak-Vance). Sib pair analysis (D. E. Goldgar). Affected relative pair analysis (J. L. Haines). Linkage disequilibrium and allelic association (M. A. Pericak-Vance). Using public databases (J. L. Haines). Laboratory approaches toward gene identification (D. A. Marchuk). Examining complex genetic interactions (J. M. Schildkraut). Glossary. Appendix: useful websites for genetic analysis. Index.


Book Synopsis Approaches to Gene Mapping in Complex Human Diseases by : Jonathan L. Haines

Download or read book Approaches to Gene Mapping in Complex Human Diseases written by Jonathan L. Haines and published by Wiley-Liss. This book was released on 1998-10-08 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Overview of mapping common and genetically complex human disease traits (J. L. Haines, M. A. Pericak-Vance). Basic concepts in genetics (M. C. Speer). Defining disease phenotypes (A. S. Aylsworth). Basic concepts in linkage analysis ( M. A. Pericak-Vance). Determining the genetic component of a disease (L. A. Farrer, L. A. Cupples). Patient and family participation in genetic research studies (P. E. Cohen, C. Wolpert). Sample size and power (M. C. Speer). The collection of biological samples for DNA analysis (J. M. Vance). Methods of genotyping (J. M. Vance, K. B. Othmane). Database design for gene mapping studies (C. Haynes, C. Blach). Genomic screening (J. L. Haines). Lod score analysis (J. Xu, D. A. Meyers, M. A. Pericak-Vance). Sib pair analysis (D. E. Goldgar). Affected relative pair analysis (J. L. Haines). Linkage disequilibrium and allelic association (M. A. Pericak-Vance). Using public databases (J. L. Haines). Laboratory approaches toward gene identification (D. A. Marchuk). Examining complex genetic interactions (J. M. Schildkraut). Glossary. Appendix: useful websites for genetic analysis. Index.


Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases

Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases

Author: Bairong Shen

Publisher: Springer Science & Business Media

Published: 2013-11-25

Total Pages: 219

ISBN-13: 9400779755

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The book introduces the bioinformatics tools, databases and strategies for the translational research, focuses on the biomarker discovery based on integrative data analysis and systems biological network reconstruction. With the coming of personal genomics era, the biomedical data will be accumulated fast and then it will become reality for the personalized and accurate diagnosis, prognosis and treatment of complex diseases. The book covers both state of the art of bioinformatics methodologies and the examples for the identification of simple or network biomarkers. In addition, bioinformatics software tools and scripts are provided to the practical application in the study of complex diseases. The present state, the future challenges and perspectives were discussed. The book is written for biologists, biomedical informatics scientists and clinicians, etc. Dr. Bairong Shen is Professor and Director of Center for Systems Biology, Soochow University; he is also Director of Taicang Center for Translational Bioinformatics.


Book Synopsis Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases by : Bairong Shen

Download or read book Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases written by Bairong Shen and published by Springer Science & Business Media. This book was released on 2013-11-25 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book introduces the bioinformatics tools, databases and strategies for the translational research, focuses on the biomarker discovery based on integrative data analysis and systems biological network reconstruction. With the coming of personal genomics era, the biomedical data will be accumulated fast and then it will become reality for the personalized and accurate diagnosis, prognosis and treatment of complex diseases. The book covers both state of the art of bioinformatics methodologies and the examples for the identification of simple or network biomarkers. In addition, bioinformatics software tools and scripts are provided to the practical application in the study of complex diseases. The present state, the future challenges and perspectives were discussed. The book is written for biologists, biomedical informatics scientists and clinicians, etc. Dr. Bairong Shen is Professor and Director of Center for Systems Biology, Soochow University; he is also Director of Taicang Center for Translational Bioinformatics.


Systems Biology Approaches: Prevention, Diagnosis, and Understanding Mechanisms of Complex Diseases

Systems Biology Approaches: Prevention, Diagnosis, and Understanding Mechanisms of Complex Diseases

Author: Sanket Joshi

Publisher: Springer Nature

Published:

Total Pages: 587

ISBN-13: 9819994624

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Book Synopsis Systems Biology Approaches: Prevention, Diagnosis, and Understanding Mechanisms of Complex Diseases by : Sanket Joshi

Download or read book Systems Biology Approaches: Prevention, Diagnosis, and Understanding Mechanisms of Complex Diseases written by Sanket Joshi and published by Springer Nature. This book was released on with total page 587 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Systems Biology and Omics Approaches to Understand Complex Diseases Biology

Systems Biology and Omics Approaches to Understand Complex Diseases Biology

Author: Amit Kumar Yadav

Publisher: Frontiers Media SA

Published: 2022-05-03

Total Pages: 183

ISBN-13: 2889760782

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Book Synopsis Systems Biology and Omics Approaches to Understand Complex Diseases Biology by : Amit Kumar Yadav

Download or read book Systems Biology and Omics Approaches to Understand Complex Diseases Biology written by Amit Kumar Yadav and published by Frontiers Media SA. This book was released on 2022-05-03 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Analysis of Complex Disease Association Studies

Analysis of Complex Disease Association Studies

Author: Eleftheria Zeggini

Publisher: Academic Press

Published: 2010-11-17

Total Pages: 340

ISBN-13: 9780123751430

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According to the National Institute of Health, a genome-wide association study is defined as any study of genetic variation across the entire human genome that is designed to identify genetic associations with observable traits (such as blood pressure or weight), or the presence or absence of a disease or condition. Whole genome information, when combined with clinical and other phenotype data, offers the potential for increased understanding of basic biological processes affecting human health, improvement in the prediction of disease and patient care, and ultimately the realization of the promise of personalized medicine. In addition, rapid advances in understanding the patterns of human genetic variation and maturing high-throughput, cost-effective methods for genotyping are providing powerful research tools for identifying genetic variants that contribute to health and disease. This burgeoning science merges the principles of statistics and genetics studies to make sense of the vast amounts of information available with the mapping of genomes. In order to make the most of the information available, statistical tools must be tailored and translated for the analytical issues which are original to large-scale association studies. Analysis of Complex Disease Association Studies will provide researchers with advanced biological knowledge who are entering the field of genome-wide association studies with the groundwork to apply statistical analysis tools appropriately and effectively. With the use of consistent examples throughout the work, chapters will provide readers with best practice for getting started (design), analyzing, and interpreting data according to their research interests. Frequently used tests will be highlighted and a critical analysis of the advantages and disadvantage complimented by case studies for each will provide readers with the information they need to make the right choice for their research. Additional tools including links to analysis tools, tutorials, and references will be available electronically to ensure the latest information is available. Easy access to key information including advantages and disadvantage of tests for particular applications, identification of databases, languages and their capabilities, data management risks, frequently used tests Extensive list of references including links to tutorial websites Case studies and Tips and Tricks


Book Synopsis Analysis of Complex Disease Association Studies by : Eleftheria Zeggini

Download or read book Analysis of Complex Disease Association Studies written by Eleftheria Zeggini and published by Academic Press. This book was released on 2010-11-17 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: According to the National Institute of Health, a genome-wide association study is defined as any study of genetic variation across the entire human genome that is designed to identify genetic associations with observable traits (such as blood pressure or weight), or the presence or absence of a disease or condition. Whole genome information, when combined with clinical and other phenotype data, offers the potential for increased understanding of basic biological processes affecting human health, improvement in the prediction of disease and patient care, and ultimately the realization of the promise of personalized medicine. In addition, rapid advances in understanding the patterns of human genetic variation and maturing high-throughput, cost-effective methods for genotyping are providing powerful research tools for identifying genetic variants that contribute to health and disease. This burgeoning science merges the principles of statistics and genetics studies to make sense of the vast amounts of information available with the mapping of genomes. In order to make the most of the information available, statistical tools must be tailored and translated for the analytical issues which are original to large-scale association studies. Analysis of Complex Disease Association Studies will provide researchers with advanced biological knowledge who are entering the field of genome-wide association studies with the groundwork to apply statistical analysis tools appropriately and effectively. With the use of consistent examples throughout the work, chapters will provide readers with best practice for getting started (design), analyzing, and interpreting data according to their research interests. Frequently used tests will be highlighted and a critical analysis of the advantages and disadvantage complimented by case studies for each will provide readers with the information they need to make the right choice for their research. Additional tools including links to analysis tools, tutorials, and references will be available electronically to ensure the latest information is available. Easy access to key information including advantages and disadvantage of tests for particular applications, identification of databases, languages and their capabilities, data management risks, frequently used tests Extensive list of references including links to tutorial websites Case studies and Tips and Tricks


Systems Biology Approaches: Prevention, Diagnosis, and Understanding Mechanisms of Complex Diseases

Systems Biology Approaches: Prevention, Diagnosis, and Understanding Mechanisms of Complex Diseases

Author: Sanket Joshi

Publisher: Springer

Published: 2024-03-15

Total Pages: 0

ISBN-13: 9789819994618

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This book examines the development and applications of system biology approaches for the prevention, diagnosis, and understanding of disease mechanisms. It explores the applications of system biology in infectious diseases, including host-pathogen interaction, and the identification of targets for new therapeutics and intervention strategies. It covers the use of system biology for understanding and treating metabolic disorders towards personalized and precision medicine. The book further discusses the systems biology approaches for understanding the mechanisms of tumor progression and designing more effective cancer therapies. The chapter also reviews the current strategies in autoimmune disease treatment and highlights the opportunity that systems biology represents for the development of better and safer treatments. Importantly, the book discusses the current state of the systems-level understanding of diseases and both the therapeutic and adverse mechanisms of drug actions using system biology approaches. Cutting across the disciplines, this book is a valuable source for researchers in genetics, molecular biology, cell biology, microbiology, and biomedical sciences. ​


Book Synopsis Systems Biology Approaches: Prevention, Diagnosis, and Understanding Mechanisms of Complex Diseases by : Sanket Joshi

Download or read book Systems Biology Approaches: Prevention, Diagnosis, and Understanding Mechanisms of Complex Diseases written by Sanket Joshi and published by Springer. This book was released on 2024-03-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the development and applications of system biology approaches for the prevention, diagnosis, and understanding of disease mechanisms. It explores the applications of system biology in infectious diseases, including host-pathogen interaction, and the identification of targets for new therapeutics and intervention strategies. It covers the use of system biology for understanding and treating metabolic disorders towards personalized and precision medicine. The book further discusses the systems biology approaches for understanding the mechanisms of tumor progression and designing more effective cancer therapies. The chapter also reviews the current strategies in autoimmune disease treatment and highlights the opportunity that systems biology represents for the development of better and safer treatments. Importantly, the book discusses the current state of the systems-level understanding of diseases and both the therapeutic and adverse mechanisms of drug actions using system biology approaches. Cutting across the disciplines, this book is a valuable source for researchers in genetics, molecular biology, cell biology, microbiology, and biomedical sciences. ​


Network Medicine

Network Medicine

Author: Joseph Loscalzo

Publisher: Harvard University Press

Published: 2017-02-01

Total Pages: 449

ISBN-13: 0674436539

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Big data, genomics, and quantitative approaches to network-based analysis are combining to advance the frontiers of medicine as never before. With contributions from leading experts, Network Medicine introduces this rapidly evolving field of research, which promises to revolutionize the diagnosis and treatment of human diseases.


Book Synopsis Network Medicine by : Joseph Loscalzo

Download or read book Network Medicine written by Joseph Loscalzo and published by Harvard University Press. This book was released on 2017-02-01 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data, genomics, and quantitative approaches to network-based analysis are combining to advance the frontiers of medicine as never before. With contributions from leading experts, Network Medicine introduces this rapidly evolving field of research, which promises to revolutionize the diagnosis and treatment of human diseases.


Genomics of Rare Diseases

Genomics of Rare Diseases

Author: Claudia Gonzaga-Jauregui

Publisher: Academic Press

Published: 2021-06-12

Total Pages: 316

ISBN-13: 0128204362

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Genomics of Rare Diseases: Understanding Disease Genetics Using Genomic Approaches, a new volume in the Translational and Applied Genomics series, offers readers a broad understanding of current knowledge on rare diseases through a genomics lens. This clear understanding of the latest molecular and genomic technologies used to elucidate the molecular causes of more than 5,000 genetic disorders brings readers closer to unraveling many more that remain undefined and undiscovered. The challenges associated with performing rare disease research are also discussed, as well as the opportunities that the study of these disorders provides for improving our understanding of disease architecture and pathophysiology. Leading chapter authors in the field discuss approaches such as karyotyping and genomic sequencing for the better diagnosis and treatment of conditions including recessive diseases, dominant and X-linked disorders, de novo mutations, sporadic disorders and mosaicism. Compiles applied case studies and methodologies, enabling researchers, clinicians and healthcare providers to effectively classify DNA variants associated with disease and patient phenotypes Discusses the main challenges in studying the genetics of rare diseases through genomic approaches and possible or ongoing solutions Explores opportunities for novel therapeutics Features chapter contributions from leading researchers and clinicians


Book Synopsis Genomics of Rare Diseases by : Claudia Gonzaga-Jauregui

Download or read book Genomics of Rare Diseases written by Claudia Gonzaga-Jauregui and published by Academic Press. This book was released on 2021-06-12 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genomics of Rare Diseases: Understanding Disease Genetics Using Genomic Approaches, a new volume in the Translational and Applied Genomics series, offers readers a broad understanding of current knowledge on rare diseases through a genomics lens. This clear understanding of the latest molecular and genomic technologies used to elucidate the molecular causes of more than 5,000 genetic disorders brings readers closer to unraveling many more that remain undefined and undiscovered. The challenges associated with performing rare disease research are also discussed, as well as the opportunities that the study of these disorders provides for improving our understanding of disease architecture and pathophysiology. Leading chapter authors in the field discuss approaches such as karyotyping and genomic sequencing for the better diagnosis and treatment of conditions including recessive diseases, dominant and X-linked disorders, de novo mutations, sporadic disorders and mosaicism. Compiles applied case studies and methodologies, enabling researchers, clinicians and healthcare providers to effectively classify DNA variants associated with disease and patient phenotypes Discusses the main challenges in studying the genetics of rare diseases through genomic approaches and possible or ongoing solutions Explores opportunities for novel therapeutics Features chapter contributions from leading researchers and clinicians