The Science Behind Alphafold
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The Science Behind Alphafold
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Author : StoryBuddiesPlay
language : en
Publisher: StoryBuddiesPlay
Release Date : 2024-06-03
The Science Behind Alphafold written by StoryBuddiesPlay and has been published by StoryBuddiesPlay this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-03 with Computers categories.
AlphaFold, a groundbreaking AI system, has cracked the code on protein structure prediction, a challenge that baffled scientists for decades. This book explores the science behind AlphaFold, delving into deep learning, big data, and the inner workings of this remarkable program. Uncover how AlphaFold is revolutionizing protein science, with the potential to accelerate drug discovery, personalize medicine, and design innovative materials. This comprehensive guide explores: The significance of protein structures and the challenges of prediction How AlphaFold leverages deep learning and vast data resources The process of protein structure prediction with AlphaFold, including its strengths and limitations The ethical considerations surrounding AI in protein science The exciting future applications of AlphaFold in various scientific fields Whether you're a scientist, student, or simply curious about the future of biology, this book provides a clear and engaging exploration of AlphaFold and its transformative impact on protein science.
Artificial Intelligence And Molecular Biology
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Author : Lawrence Hunter
language : en
Publisher:
Release Date : 1993
Artificial Intelligence And Molecular Biology written by Lawrence Hunter and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Computers categories.
These original contributions provide a current sampling of AI approaches to problems of biological significance; they are the first to treat the computational needs of the biology community hand-in-hand with appropriate advances in artificial intelligence. The enormous amount of data generated by the Human Genome Project and other large-scale biological research has created a rich and challenging domain for research in artificial intelligence. These original contributions provide a current sampling of AI approaches to problems of biological significance; they are the first to treat the computational needs of the biology community hand-in-hand with appropriate advances in artificial intelligence. Focusing on novel technologies and approaches, rather than on proven applications, they cover genetic sequence analysis, protein structure representation and prediction, automated data analysis aids, and simulation of biological systems. A brief introductory primer on molecular biology and Al gives computer scientists sufficient background to understand much of the biology discussed in the book. Lawrence Hunter is Director of the Machine Learning Project at the National Library of Medicine, National Institutes of Health.
Artificial Intelligence For Science A Deep Learning Revolution
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Author : Alok Choudhary
language : en
Publisher: World Scientific
Release Date : 2023-03-21
Artificial Intelligence For Science A Deep Learning Revolution written by Alok Choudhary and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-21 with Computers categories.
This unique collection introduces AI, Machine Learning (ML), and deep neural network technologies leading to scientific discovery from the datasets generated both by supercomputer simulation and by modern experimental facilities.Huge quantities of experimental data come from many sources — telescopes, satellites, gene sequencers, accelerators, and electron microscopes, including international facilities such as the Large Hadron Collider (LHC) at CERN in Geneva and the ITER Tokamak in France. These sources generate many petabytes moving to exabytes of data per year. Extracting scientific insights from these data is a major challenge for scientists, for whom the latest AI developments will be essential.The timely handbook benefits professionals, researchers, academics, and students in all fields of science and engineering as well as AI, ML, and neural networks. Further, the vision evident in this book inspires all those who influence or are influenced by scientific progress.
The Ai Mirror
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Author : Shannon Vallor
language : en
Publisher: Oxford University Press
Release Date : 2024
The Ai Mirror written by Shannon Vallor and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Computers categories.
For many, AI technology inspires hope for the future-the promise of shared human flourishing and collective liberation from drudgery that defines the "good life," but always seems to elude our species. Yet today's AI technology is forged from human-generated data into immensely powerful but flawed mirrors that endlessly reflect the same errors, biases and failures of wisdom we are striving to escape. To open new futures for ourselves with these tools is as misguided as gazing into a mirror while trying to climb an uncharted mountain. At this crucial juncture for humanity and our planet, we need something new from AI, and more importantly, from ourselves. We need to find new hope-not to surrender our greatest moral and intellectual ambitions to machines that have none, but to renew those ambitions, collectively, for ourselves. Shannon Vallor makes a wide-ranging, prophetic, and philosophical case for what AI could be, and what we can be with it. She calls us to reclaim our human potential for moral and intellectual growth, rather than losing sight of our shared humanity as we gaze dully into our AI mirrors.
Immunoinformatics
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Author : Christian Schönbach
language : en
Publisher: Springer
Release Date : 2014-12-02
Immunoinformatics written by Christian Schönbach and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-02 with Medical categories.
In contrast to existing books on immunoinformatics, this volume presents a cross-section of immunoinformatics research. The contributions highlight the interdisciplinary nature of the field and how collaborative efforts among bioinformaticians and bench scientists result in innovative strategies for understanding the immune system. Immunoinformatics is ideal for scientists and students in immunology, bioinformatics, microbiology, and many other disciplines.
Structure And Physics Of Viruses
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Author : Mauricio G. Mateu
language : en
Publisher: Springer Nature
Release Date : 2024-12-31
Structure And Physics Of Viruses written by Mauricio G. Mateu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-31 with Science categories.
The second edition of this book provides a completely updated account of the structure, dynamics, and physics of viral particles: from the moment they emerge by self-assembly from viral components produced in the infected cell, through their extracellular stage, until they recognize and infect a new host cell and cease to exist as they lose their physical integrity to initiate a new infectious cycle. New insights into the structure of viruses, their physical properties, and mechanisms of action, derived from results obtained in the last decade, have been included, as well as other (bio)physical techniques to study the structure or dynamics of virus particles and components. These include, among many others, new advances in high-resolution electron cryomicroscopy; novel approaches in the use of electron cryotomography or the application of soft X-ray tomography to study viruses in the infected cell; high-speed atomic force microscopy to study virus assembly and dynamics; and the development of new antiviral drugs and vaccines. as well as of many nanomedical and nanotechnological applications of virus particles. New chapters on the study of viruses inside infected cells and on technological applications of modified viral particles have been included in this second edition. The book is still aimed primarily at Master's students, Ph.D. students, and postdoctoral researchers with degrees in biology, chemistry, physics or related scientific disciplines who have an interest in or are working with viruses. It provides an up-to-date overview of many important concepts, techniques, studies and applications in structural and physical virology for specialized researchers working with viruses, regardless of their field of specialization, covering the latest research together with fundamental concepts and well-established facts. In short, this book is basic enough to be used by undergraduate and Ph.D. students, but advanced and up-to-date enough for experienced scientists with an interest in structural and/or physical virology.
Alphafold 3 A Revolution In Protein Structure Prediction
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Author : StoryBuddiesPlay
language : en
Publisher: StoryBuddiesPlay
Release Date : 2024-05-19
Alphafold 3 A Revolution In Protein Structure Prediction written by StoryBuddiesPlay and has been published by StoryBuddiesPlay this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-19 with Computers categories.
AlphaFold 3: Unveiling the Secrets of Life, One Molecule at a Time Demystifying the intricate world of proteins just got a whole lot easier with the arrival of AlphaFold 3. This groundbreaking AI model, developed by DeepMind and Isomorphic Labs, has revolutionized protein structure prediction, a field that has captivated scientists for decades. No longer limited to laborious experimental methods, AlphaFold 3 utilizes the power of deep learning to accurately predict protein structures from their amino acid sequences. This capability unlocks a treasure trove of possibilities for various scientific disciplines. From accelerating drug discovery and personalized medicine to understanding complex diseases and designing novel biomaterials, AlphaFold 3 stands poised to transform our understanding of life at the molecular level. Here's what you'll discover in this comprehensive guide: The Protein Folding Problem Explained: Dive into the challenges of traditionally predicting protein structures and the significance of solving this scientific puzzle. The Rise of Deep Learning: A New Hope for Protein Science: Explore how deep learning has emerged as a powerful tool for tackling complex scientific problems like protein structure prediction. A Deep Dive into AlphaFold: Birth of a Revolutionary AI Model: Learn about the development of AlphaFold by DeepMind, its groundbreaking architecture, and its impact on the scientific community. From AlphaFold 2 to AlphaFold 3: Pushing the Boundaries of Accuracy: Witness the continuous advancements in AlphaFold's capabilities, culminating in AlphaFold 3's ability to predict structures of a wider range of biomolecules beyond proteins. Revolutionizing Drug Discovery: How AlphaFold 3 is Changing the Game: Discover how AlphaFold 3 is accelerating the identification and design of new drugs by providing precise structural insights into protein-drug interactions. Unlocking the Secrets of Diseases: A New Lens for Diagnosis and Treatment: Explore how AlphaFold 3 is transforming our understanding of diseases at the molecular level, paving the way for earlier diagnosis, personalized medicine, and the development of new therapies. Beyond Proteins: Expanding the Horizons of AlphaFold 3: Uncover the exciting potential of AlphaFold 3 in predicting the structures of DNA, RNA, and other biomolecules, leading to a more holistic view of cellular processes. The Future of Protein Science: A Collaborative and Responsible Approach: Delve into the ethical considerations surrounding AlphaFold 3 and the importance of responsible development, open access, and international collaboration to maximize its benefits for humanity. This blog post goes beyond just summarizing the features of AlphaFold 3. It provides a compelling narrative that explores the history, scientific significance, and future potential of this groundbreaking technology. Whether you're a scientist, student, or simply curious about the future of scientific discovery, this guide offers a comprehensive exploration of AlphaFold 3 and its transformative impact on the world of science.
Artificial Intelligence For Science Ai4s
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Author : Qinghai Miao
language : en
Publisher: Springer Nature
Release Date : 2024-09-11
Artificial Intelligence For Science Ai4s written by Qinghai Miao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-11 with Business & Economics categories.
This book presents a comprehensive framework for analyzing, evaluating, and guiding AI for Sciences (AI4Sci) research, offering a unified approach that facilitates analysis across various academic fields through a shared set of dimensions and indicators. It provides a systematic overview of recent AI4Sci advances in various disciplines and offers insights into the latest issues in and prospects of AI4Sci. The book is based on the theory of Parallel Intelligence (PI), which forms the foundation for the general AI4Sci framework. By analyzing multiple cases in various academic fields, this framework integrates key elements of AI4Sci, such as real scientific problems, datasets, virtual systems, AI methods, human roles, and organizational mechanisms, from a multidimensional perspective. It also assesses and summarizes the limitations of AI4Sci, incorporating the latest advances in AI for fundamental models. Lastly, it explores the impact of DeSci and DAO, as well as TAO, on AI4Sci ecosystem development and prospects. Through its balanced approach, the book offers readers a goal-oriented perspective, focusing on a concise presentation of the core ideas and reducing detailed descriptions of specific AI4Sci cases to a minimum.
Deep Learning In Science
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Author : Pierre Baldi
language : en
Publisher:
Release Date : 2021
Deep Learning In Science written by Pierre Baldi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Machine learning categories.
Computational Genomics And Structural Bioinformatics In Microbial Science
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Author : Javid Ahmad Parray
language : en
Publisher: Academic Press
Release Date : 2025-02-24
Computational Genomics And Structural Bioinformatics In Microbial Science written by Javid Ahmad Parray and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-24 with Science categories.
Computational Genomics and Structural Bioinformatics in Microbial Science: Microbial Genomics (Volume 2) covers different aspects of microbial genomics, metagenomics, and functional studies of microbes through informative illustrations of current trends in computational tools and bioinformatics approach in environmental microbiology and clinical diagnosis. This book aims to provide readers with an overview of the microbial genome, computational genomics, and structural bioinformatics in microbial science, as well as the most recent developments in these fields. This book covers a range of topics, including the challenges and opportunities of computational epigenomics, bioinformatics tools for assessing metagenomic data, as well as computed comparative genomics and computational phenotyping of microorganisms relevant to agriculture. Microbial Genomics: Host Adaptation, virulence, and Evolution is a valuable resource for faculty members, researchers, and undergraduate and postgraduate students at universities, medical research labs, that are interested in microbial science specifically related to the microbial genome, computing genomics, and bioinformatics. - Provides informative illustrations of current trends in computational tools and bioinformatics approach - Presents bioinformatics of next generation sequencing in clinical microbiology diagnosis - Discusses structural bioinformatics and its applications