The New Avenues In Bioinformatics


The New Avenues In Bioinformatics
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The New Avenues In Bioinformatics


The New Avenues In Bioinformatics
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Author : Joseph Seckbach
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-11-12

The New Avenues In Bioinformatics written by Joseph Seckbach and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-12 with Science categories.


Bioinformatics has ignited the imagination of scientists, entrepreneurs and the general public. At the meeting place of two fast growth disciplines, biology and computer science Bioinformatics is one of the cornerstones of the new biology. It is clearly pivotal to the translation of high throughput projects such the human genome project into useful knowledge. Yet despite all this attention, there is no consensus on what exactly is Bioinformatics. There are several canonical topics, such as gene structure prediction, protein functional classification or structure prediction. The present book explores new frontiers in bioinformatics, such as Glycomics or the computational modeling of genetic processes. We also discuss confounding factors that we find crucial to the development of the field, such as the ability to protect and restrict intellectual property in the field, or the challenges involved in educating bioinformatics users. Finally, we touch upon some fundamental questions, such as what information is and how it is captured in biological systems. By bringing to the readers such a broad spectrum of reviews, we hope to capture the vibrant spirit of this young science and to truly represent the fast pace with which it is still developing.



The New Avenues In Bioinformatics


The New Avenues In Bioinformatics
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Author : Seckbach
language : en
Publisher:
Release Date : 2006-10-01

The New Avenues In Bioinformatics written by Seckbach and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-10-01 with categories.




New Avenues In Drug Discovery And Bioactive Natural Products


New Avenues In Drug Discovery And Bioactive Natural Products
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Author : Raja Chakraborty
language : en
Publisher: Bentham Science Publishers
Release Date : 2023-08-01

New Avenues In Drug Discovery And Bioactive Natural Products written by Raja Chakraborty and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-01 with Medical categories.


New Avenues in Drug Discovery and Bioactive Natural Products is the second volume of the Natural Medicine book series. It is devoted to current research in drug discovery from natural sources. The volume features 13 chapters that cover modern analytical and scientific approaches. The book starts with chapters on advanced analytical and research techniques, such as genomic mining, quality control of herbal drugs, DNA fingerprinting, high-throughput screening, molecular docking and extraction techniques. The contributors provide a summary of challenges for researchers and commercial applications where possible. The book also features chapters dedicated to specific medicinal agents that target a disease (glycosides, SARS-CoV2 spike protein inhibitors, and andrographolides. The collection of important research topics in natural product chemistry aims to help the scholars and researchers in the scientific community that are involved in the extraction and development of new medicines.



Advances In Bioinformatics


Advances In Bioinformatics
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Author : Vijai Singh
language : en
Publisher: Springer Nature
Release Date : 2021-07-31

Advances In Bioinformatics written by Vijai Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-31 with Science categories.


This book presents the latest developments in bioinformatics, highlighting the importance of bioinformatics in genomics, transcriptomics, metabolism and cheminformatics analysis, as well as in drug discovery and development. It covers tools, data mining and analysis, protein analysis, computational vaccine, and drug design. Covering cheminformatics, computational evolutionary biology and the role of next-generation sequencing and neural network analysis, it also discusses the use of bioinformatics tools in the development of precision medicine. This book offers a valuable source of information for not only beginners in bioinformatics, but also for students, researchers, scientists, clinicians, practitioners, policymakers, and stakeholders who are interested in harnessing the potential of bioinformatics in many areas.



Models And Algorithms For Genome Evolution


Models And Algorithms For Genome Evolution
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Author : Cedric Chauve
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-09-17

Models And Algorithms For Genome Evolution written by Cedric Chauve and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-17 with Computers categories.


This authoritative text/reference presents a review of the history, current status, and potential future directions of computational biology in molecular evolution. Gathering together the unique insights of an international selection of prestigious researchers, this must-read volume examines the latest developments in the field, the challenges that remain, and the new avenues emerging from the growing influx of sequence data. These viewpoints build upon the pioneering work of David Sankoff, one of the founding fathers of computational biology, and mark the 50th anniversary of his first scientific article. The broad spectrum of rich contributions in this essential collection will appeal to all computer scientists, mathematicians and biologists involved in comparative genomics, phylogenetics and related areas.



Evolutionary Systems Biology


Evolutionary Systems Biology
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Author : Anton Crombach
language : en
Publisher: Springer Nature
Release Date : 2021-08-05

Evolutionary Systems Biology written by Anton Crombach and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-05 with Science categories.


This new edition captures the advances made in the field of evolutionary systems biology since the publication of the first edition. The first edition focused on laying the foundations of evolutionary systems biology as an interdisciplinary field, where a way of thinking and asking questions is combined with a wide variety of tools, both experimental and theoretical/computational. Since publication of the first edition, evolutionary systems biology is now a well-known term describing this growing field. The new edition provides an overview of the current status and future developments of this interdisciplinary field. Chapters highlight several key achievements from the last decade and outline exciting new developments, including an understanding of the interplay between complexity and predictability in evolutionary systems, new viewpoints and methods to study organisms in evolving populations at the level of the genome, gene regulatory network, and metabolic network, and better analysis and modeling techniques that will open new avenues of scientific inquiry.



Bioinformatics


Bioinformatics
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Author : David Edwards
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-09-03

Bioinformatics written by David Edwards and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-03 with Science categories.


Bioinformatics is a relatively new field of research. It evolved from the requirement to process, characterize, and apply the information being produced by DNA sequencing technology. The production of DNA sequence data continues to grow exponentially. At the same time, improved bioinformatics such as faster DNA sequence search methods have been combined with increasingly powerful computer systems to process this information. Methods are being developed for the ever more detailed quantification of gene expression, providing an insight into the function of the newly discovered genes, while molecular genetic tools provide a link between these genes and heritable traits. Genetic tests are now available to determine the likelihood of suffering specific ailments and can predict how plant cultivars may respond to the environment. The steps in the translation of the genetic blueprint to the observed phenotype is being increasingly understood through proteome, metabolome and phenome analysis, all underpinned by advances in bioinformatics. Bioinformatics is becoming increasingly central to the study of biology, and a day at a computer can often save a year or more in the laboratory. The volume is intended for graduate-level biology students as well as researchers who wish to gain a better understanding of applied bioinformatics and who wish to use bioinformatics technologies to assist in their research. The volume would also be of value to bioinformatics developers, particularly those from a computing background, who would like to understand the application of computational tools for biological research. Each chapter would include a comprehensive introduction giving an overview of the fundamentals, aimed at introducing graduate students and researchers from diverse backgrounds to the field and bring them up-to-date on the current state of knowledge. To accommodate the broad range of topics in applied bioinformatics, chapters have been grouped into themes: gene and genome analysis, molecular genetic analysis, gene expression analysis, protein and proteome analysis, metabolome analysis, phenome data analysis, literature mining and bioinformatics tool development. Each chapter and theme provides an introduction to the biology behind the data describes the requirements for data processing and details some of the methods applied to the data to enhance biological understanding.



Bioinformatics In The Post Genomic Era


Bioinformatics In The Post Genomic Era
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Author : Jeffrey Augen
language : en
Publisher: Addison-Wesley Professional
Release Date : 2005

Bioinformatics In The Post Genomic Era written by Jeffrey Augen and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.


A comprehensive treatment of the role of bioinformatics in the emerging world of molecular medicine, for anyone involved in this new field



Practical Applications Of Computational Biology And Bioinformatics 13th International Conference


Practical Applications Of Computational Biology And Bioinformatics 13th International Conference
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Author : Florentino Fdez-Riverola
language : en
Publisher: Springer
Release Date : 2019-06-21

Practical Applications Of Computational Biology And Bioinformatics 13th International Conference written by Florentino Fdez-Riverola and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-21 with Technology & Engineering categories.


This book features 21 papers spanning many different sub-fields in bioinformatics and computational biology, presenting the latest research on the practical applications to promote fruitful interactions between young researchers in different areas related to the field. Next-generation sequencing technologies, together with other emerging and diverse experimental techniques, are evolving rapidly, creating numerous types of omics data. These, in turn, are creating new challenges for the expanding fields of bioinformatics and computational biology, which seek to analyse, process, integrate and extract meaningful knowledge from such data. This calls for new algorithms and approaches from fields such as databases, statistics, data mining, machine learning, optimization, computer science, machine learning and artificial intelligence. Clearly, biology is increasingly becoming a science of information, requiring tools from the computational sciences. To address these challenges, we have seen the emergence of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences. In this context, the interaction of researchers from different scientific areas is, more than ever, vital to boost the research efforts in the field and contribute to the training of the new generation of interdisciplinary scientists.



Artificial Intelligence And Machine Learning In Drug Design And Development


Artificial Intelligence And Machine Learning In Drug Design And Development
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Author : Abhirup Khanna
language : en
Publisher: John Wiley & Sons
Release Date : 2024-06-21

Artificial Intelligence And Machine Learning In Drug Design And Development written by Abhirup Khanna and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-21 with Computers categories.


The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals. This book is a testament to the profound impact these technologies have had and will continue to have on the pharmaceutical industry, healthcare, and ultimately, patient well-being. The editors of this volume have assembled a distinguished group of experts, researchers, and thought leaders from both the AI, ML, and pharmaceutical domains. Their collective knowledge and insights illuminate the multifaceted landscape of AI and ML in drug design and development, offering a roadmap for navigating its complexities and harnessing its potential. In each section, readers will find a rich tapestry of knowledge, case studies, and expert opinions, providing a 360-degree view of AI and ML’s role in drug design and development. Whether you are a researcher, scientist, industry professional, policymaker, or simply curious about the future of medicine, this book offers 19 state-of-the-art chapters providing valuable insights and a compass to navigate the exciting journey ahead. Audience The book is a valuable resource for a wide range of professionals in the pharmaceutical and allied industries including researchers, scientists, engineers, and laboratory workers in the field of drug discovery and development, who want to learn about the latest techniques in machine learning and AI, as well as information technology professionals who are interested in the application of machine learning and artificial intelligence in drug development.