Machine Learning Methodologies To Study Molecular Interactions
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Machine Learning Methodologies To Study Molecular Interactions
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Author : Elif Ozkirimli
language : en
Publisher: Frontiers Media SA
Release Date : 2022-01-21
Machine Learning Methodologies To Study Molecular Interactions written by Elif Ozkirimli and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-21 with Science categories.
Dr. Elif Ozkirimli is a full time employee of F. Hoffmann-La Roche AG, Switzerland and Dr. Artur Yakimovich is a full time employee of Roche Products Limited, UK. All other Topic Editors declare no competing interests with regards to the Research Topic.
Machine Learning For Biological Sequence Analysis
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Author : Quan Zou
language : en
Publisher: Frontiers Media SA
Release Date : 2023-03-09
Machine Learning For Biological Sequence Analysis written by Quan Zou and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-09 with Science categories.
Computer Aided Drug Design
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Author : Dev Bukhsh Singh
language : en
Publisher: Springer Nature
Release Date : 2020-10-09
Computer Aided Drug Design written by Dev Bukhsh 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 2020-10-09 with Medical categories.
This book provides up-to-date information on bioinformatics tools for the discovery and development of new drug molecules. It discusses a range of computational applications, including three-dimensional modeling of protein structures, protein-ligand docking, and molecular dynamics simulation of protein-ligand complexes for identifying desirable drug candidates. It also explores computational approaches for identifying potential drug targets and for pharmacophore modeling. Moreover, it presents structure- and ligand-based drug design tools to optimize known drugs and guide the design of new molecules. The book also describes methods for identifying small-molecule binding pockets in proteins, and summarizes the databases used to explore the essential properties of drugs, drug-like small molecules and their targets. In addition, the book highlights various tools to predict the absorption, distribution, metabolism, excretion (ADME) and toxicity (T) of potential drug candidates. Lastly, it reviews in silico tools that can facilitate vaccine design and discusses their limitations.
Artificial Intelligence In Drug Discovery
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Author : Nathan Brown
language : en
Publisher: Royal Society of Chemistry
Release Date : 2020-11-04
Artificial Intelligence In Drug Discovery written by Nathan Brown and has been published by Royal Society of Chemistry this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-04 with Computers categories.
Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.
Integrated Omics Approaches To Infectious Diseases
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Author : Saif Hameed
language : en
Publisher: Springer Nature
Release Date : 2021-07-18
Integrated Omics Approaches To Infectious Diseases written by Saif Hameed and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-18 with Medical categories.
This book examines applications of multi-omics approaches for understanding disease etiology, pathogenesis, host-pathogen interactions. It also analyzes the genetics, immunological and metabolic mechanisms underlying the infections. The book also explores genomics, transcriptomics, translational-omics, and metabolomics approaches to understand the pathogenesis and identify potential drug targets. It reviews the role of epigenetic reprogramming in shaping the host-pathogen interactions and presents bioinformatics application in the identification of drug targets. Further, it examines the potential applications of RNA sequencing and non-coding RNA profiling to identify the pathogenesis. Lastly, it offers the current challenges, technological advances, and prospects of using multi-omics technologies in infectious biology.
Graph Embedding Methods For Multiple Omics Data Analysis
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Author : Chen Qingfeng
language : en
Publisher: Frontiers Media SA
Release Date : 2021-11-08
Graph Embedding Methods For Multiple Omics Data Analysis written by Chen Qingfeng and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-08 with Science categories.
Systems Biology Approaches For Host Pathogen Interaction Analysis
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Author : Mohd. Tashfeen Ashraf
language : en
Publisher: Elsevier
Release Date : 2024-02-16
Systems Biology Approaches For Host Pathogen Interaction Analysis written by Mohd. Tashfeen Ashraf and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-16 with Science categories.
System Biology Approaches for Microbial Pathogenesis Interaction Analysis aids biological researchers to expand their research scope using piled up data generated through recent technological advancement. In addition, it also opens avenues for bioinformatics and computer science researchers to utilize their expertise in biological meaningful ways. It also covers network biology approaches to decipher complex multiple host-pathogen interactions in addition to giving valuable coverage of artificial intelligence. The host-pathogen interactions are generally considered as highly specific interactions leading to a variety of consequences. The utilization of data science approaches has revolutionized scientific research including host-pathogen interaction analyses. Data science approaches coupled with network biology has taken host-pathogen interaction analysis from specific interaction to a new paradigm of understanding consequences of these interaction in the biological network. Unfortunately, basic biological researchers are mostly unaware of these advancements. In contrast, data scientists are not familiar with biological aspects of such data. System Biology Approaches for Microbial Pathogenesis Interaction Analysis will bridge these gaps through a new paradigm of understanding consequences of interaction in biological networks. - Cover approaches to decipher complex multiple host–pathogen interactions - Gives biological researcher an insight into the utilization of technological advancements in the field of host–pathogen interaction analyses in their work - Provides a new paradigm of understanding the consequences of host–pathogen interaction in biological systems
Bioinformatics And Computational Biology
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Author : Tiratha Raj Singh
language : en
Publisher: CRC Press
Release Date : 2023-12-13
Bioinformatics And Computational Biology written by Tiratha Raj Singh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-13 with Computers categories.
Bioinformatics and Computational Biology: Technological Advancements, Applications and Opportunities is an invaluable resource for general and applied researchers who analyze biological data that is generated, at an unprecedented rate, at the global level. After careful evaluation of the requirements for current trends in bioinformatics and computational biology, it is anticipated that the book will provide an insightful resource to the academic and scientific community. Through a myriad of computational resources, algorithms, and methods, it equips readers with the confidence to both analyze biological data and estimate predictions. The book offers comprehensive coverage of the most essential and emerging topics: Cloud-based monitoring of bioinformatics multivariate data with cloud platforms Machine learning and deep learning in bioinformatics Quantum machine learning for biological applications Integrating machine learning strategies with multiomics to augment prognosis in chronic diseases Biomedical engineering Next generation sequencing techniques and applications Computational systems biology and molecular evolution While other books may touch on some of the same issues and nuances of biological data analysis, they neglect to feature bioinformatics and computational biology exclusively, and as exhaustively. This book's abundance of several subtopics related to almost all of the regulatory activities of biomolecules from where real data is being generated brings an added dimension.
Advances In Protein Molecular And Structural Biology Methods
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Author : Timir Tripathi
language : en
Publisher: Academic Press
Release Date : 2022-01-14
Advances In Protein Molecular And Structural Biology Methods written by Timir Tripathi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-14 with Science categories.
Advances in Protein Molecular and Structural Biology Methods offers a complete overview of the latest tools and methods applicable to the study of proteins at the molecular and structural level. The book begins with sections exploring tools to optimize recombinant protein expression and biophysical techniques such as fluorescence spectroscopy, NMR, mass spectrometry, cryo-electron microscopy, and X-ray crystallography. It then moves towards computational approaches, considering structural bioinformatics, molecular dynamics simulations, and deep machine learning technologies. The book also covers methods applied to intrinsically disordered proteins (IDPs)followed by chapters on protein interaction networks, protein function, and protein design and engineering. It provides researchers with an extensive toolkit of methods and techniques to draw from when conducting their own experimental work, taking them from foundational concepts to practical application. - Presents a thorough overview of the latest and emerging methods and technologies for protein study - Explores biophysical techniques, including nuclear magnetic resonance, X-ray crystallography, and cryo-electron microscopy - Includes computational and machine learning methods - Features a section dedicated to tools and techniques specific to studying intrinsically disordered proteins
Empowering Sustainable Industrial 4 0 Systems With Machine Intelligence
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Author : Ahmad, Muneer
language : en
Publisher: IGI Global
Release Date : 2022-04-01
Empowering Sustainable Industrial 4 0 Systems With Machine Intelligence written by Ahmad, Muneer and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-01 with Computers categories.
The recent advancement of industrial computerization has significantly helped in resolving the challenges with conventional industrial systems. The Industry 4.0 quality standards demand smart and intelligent solutions to revolutionize industrial applications. The integration of machine intelligence and internet of things (IoT) technologies can further devise innovative solutions to recent industrial application issues. Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence assesses the challenges, limitations, and potential solutions for creating more sustainable and agile industrial systems. This publication presents recent intelligent systems for a wide range of industrial applications and smart safety measures toward industrial systems. Covering topics such as geospatial technologies, remote sensing, and temporal analysis, this book is a dynamic resource for health professionals, pharmaceutical professionals, manufacturing professionals, policymakers, engineers, computer scientists, researchers, instructors, students, and academicians.