Machine Learning Methodologies To Study Molecular Interactions PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Machine Learning Methodologies To Study Molecular Interactions PDF full book. Access full book title Machine Learning Methodologies To Study Molecular Interactions by Elif Ozkirimli. Download full books in PDF and EPUB format.
Author: Elif Ozkirimli Publisher: Frontiers Media SA ISBN: 2889741214 Category : Science Languages : en Pages : 147
Book Description
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.
Author: Elif Ozkirimli Publisher: Frontiers Media SA ISBN: 2889741214 Category : Science Languages : en Pages : 147
Book Description
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.
Author: Gennady Verkhivker Publisher: Frontiers Media SA ISBN: 2889631362 Category : Languages : en Pages : 129
Book Description
Machine learning methods such as neural networks, non-linear dimensionality reduction techniques, random forests and others meet in this research topic with biomolecular simulations. The authors of eight articles applied these methods to analyze simulation results, accelerate simulations or to make molecular mechanics force fields more accurate.
Author: Chen Qu Publisher: Springer Nature ISBN: 3031371968 Category : Computers Languages : en Pages : 323
Book Description
Machine learning and artificial intelligence have propelled research across various molecular science disciplines thanks to the rapid progress in computing hardware, algorithms, and data accumulation. This book presents recent machine learning applications in the broad research field of molecular sciences. Written by an international group of renowned experts, this edited volume covers both the machine learning methodologies and state-of-the-art machine learning applications in a wide range of topics in molecular sciences, from electronic structure theory to nuclear dynamics of small molecules, to the design and synthesis of large organic and biological molecules. This book is a valuable resource for researchers and students interested in applying machine learning in the research of molecular sciences.
Author: Huixiao Hong Publisher: Springer ISBN: 3030164438 Category : Science Languages : en Pages : 412
Book Description
This book provides a comprehensive review of both traditional and cutting-edge methodologies that are currently used in computational toxicology and specifically features its application in regulatory decision making. The authors from various government agencies such as FDA, NCATS and NIEHS industry, and academic institutes share their real-world experience and discuss most current practices in computational toxicology and potential applications in regulatory science. Among the topics covered are molecular modeling and molecular dynamics simulations, machine learning methods for toxicity analysis, network-based approaches for the assessment of drug toxicity and toxicogenomic analyses. Offering a valuable reference guide to computational toxicology and potential applications in regulatory science, this book will appeal to chemists, toxicologists, drug discovery and development researchers as well as to regulatory scientists, government reviewers and graduate students interested in this field.
Author: David A. Micha Publisher: John Wiley & Sons ISBN: 0470290749 Category : Science Languages : en Pages : 400
Book Description
A modern, comprehensive text and reference describing intermolecular forces, this book begins with coverage of the concepts and methods for simpler systems, then moves on to more advanced subjects for complex systems – emphasizing concepts and methods used in calculations with realistic models and compared with empirical data. Contains applications to many physical systems and worked examples Proceeds from introductory material to advanced modern treatments Has relevance for new materials, biological phenomena, and energy and fuels production
Author: Lodhi, Huma Publisher: IGI Global ISBN: 1615209123 Category : Computers Languages : en Pages : 418
Book Description
"This book is a timely compendium of key elements that are crucial for the study of machine learning in chemoinformatics, giving an overview of current research in machine learning and their applications to chemoinformatics tasks"--Provided by publisher.
Author: Xiangxiang Zeng Publisher: MDPI ISBN: 3039211951 Category : Science Languages : en Pages : 390
Book Description
This text will provide the most recent knowledge and advances in the area of molecular computing and bioinformatics. Molecular computing and bioinformatics have a close relationship, paying attention to the same object but working towards different orientations. The articles will range from topics such as DNA computing and membrane computing to specific biomedical applications, including drug R&D and disease analysis.
Author: Elif Ozkirimli
Author: Elif Ozkirimli
Author: Quan Zou
Author: Gennady Verkhivker
Author: Chen Qu
Author: Isabel Moreno Indias
Author: Huixiao Hong
Author: Quan Zou
Author: David A. Micha
Author: Lodhi, Huma
Author: Xiangxiang Zeng