Cheminformatics Developments 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 Cheminformatics Developments PDF full book. Access full book title Cheminformatics Developments by Jan H. Noordik. Download full books in PDF and EPUB format.
Author: Jan H. Noordik
Publisher: IOS Press
ISBN: 9781586034504
Category : Science
Languages : en
Pages : 236
Get Book Here
Book Description
The developments in information technology in the last decades of the 20th century have fundamentally changed the way in which scientific information is being communicated and used. A scientific discipline where the impact of these changes has been particularly significant is (bio)chemistry. Up to less than 25 years ago, molecular modeling was a hardly-existent computational chemistry niche, only practiced at those few institutes that could afford the very expensive specialised hardware. Also rapid access to not only the primary literature but, possibly even more importantly, to the factual primary data about millions of chemical compounds, to reactions, structures, and spectra, and to the genomic data of various organisms including humans, can only be provided by digital storage and retrieval techniques. This book seeks to document some key developments in computerized chemical information in the last two decades of the past century. To put the developments into a historic perspective, the three opening chapters present review articles on the founding, the history, and the operation of three different representative European computer chemistry institutes.These introductory chapters are personal accounts of history and development and clearly show the different approaches and aims in setting up these (academic) research and/or service facilities for computer-aided chemistry and cheminformatics. The following chapters form a bridge to recent cheminformatics research by covering selected topics in the fields of organic synthesis, drug design, crystallography, modeling and chemistry teaching.
Author: Jan H. Noordik
Publisher: IOS Press
ISBN: 9781586034504
Category : Science
Languages : en
Pages : 236
Get Book Here
Book Description
The developments in information technology in the last decades of the 20th century have fundamentally changed the way in which scientific information is being communicated and used. A scientific discipline where the impact of these changes has been particularly significant is (bio)chemistry. Up to less than 25 years ago, molecular modeling was a hardly-existent computational chemistry niche, only practiced at those few institutes that could afford the very expensive specialised hardware. Also rapid access to not only the primary literature but, possibly even more importantly, to the factual primary data about millions of chemical compounds, to reactions, structures, and spectra, and to the genomic data of various organisms including humans, can only be provided by digital storage and retrieval techniques. This book seeks to document some key developments in computerized chemical information in the last two decades of the past century. To put the developments into a historic perspective, the three opening chapters present review articles on the founding, the history, and the operation of three different representative European computer chemistry institutes.These introductory chapters are personal accounts of history and development and clearly show the different approaches and aims in setting up these (academic) research and/or service facilities for computer-aided chemistry and cheminformatics. The following chapters form a bridge to recent cheminformatics research by covering selected topics in the fields of organic synthesis, drug design, crystallography, modeling and chemistry teaching.
Author: Kunal Roy
Publisher: Elsevier
ISBN: 0443186391
Category : Medical
Languages : en
Pages : 768
Get Book Here
Book Description
Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development aims at showcasing different structure-based, ligand-based, and machine learning tools currently used in drug design. It also highlights special topics of computational drug design together with the available tools and databases. The integrated presentation of chemometrics, cheminformatics, and machine learning methods under is one of the strengths of the book.The first part of the content is devoted to establishing the foundations of the area. Here recent trends in computational modeling of drugs are presented. Other topics present in this part include QSAR in medicinal chemistry, structure-based methods, chemoinformatics and chemometric approaches, and machine learning methods in drug design. The second part focuses on methods and case studies including molecular descriptors, molecular similarity, structure-based based screening, homology modeling in protein structure predictions, molecular docking, stability of drug receptor interactions, deep learning and support vector machine in drug design. The third part of the book is dedicated to special topics, including dedicated chapters on topics ranging from de design of green pharmaceuticals to computational toxicology. The final part is dedicated to present the available tools and databases, including QSAR databases, free tools and databases in ligand and structure-based drug design, and machine learning resources for drug design. The final chapters discuss different web servers used for identification of various drug candidates. - Presents chemometrics, cheminformatics and machine learning methods under a single reference - Showcases the different structure-based, ligand-based and machine learning tools currently used in drug design - Highlights special topics of computational drug design and available tools and databases
Author: Rajarshi Guha
Publisher: John Wiley & Sons
ISBN: 0470384417
Category : Science
Languages : en
Pages : 299
Get Book Here
Book Description
A breakthrough guide employing knowledge that unites cheminformatics and bioinformatics as innovation for the future Bridging the gap between cheminformatics and bioinformatics for the first time, Computational Approaches in Cheminformatics and Bioinformatics provides insight on how to blend these two sciences for progressive research benefits. It describes the development and evolution of these fields, how chemical information may be used for biological relations and vice versa, the implications of these new connections, and foreseeable developments in the future. Using algorithms and domains as workflow tools, this revolutionary text drives bioinformaticians to consider chemical structure, and similarly, encourages cheminformaticians to consider large biological systems such as protein targets and networks. Computational Approaches in Cheminformatics and Bioinformatics covers: Data sources available for modelling and prediction purposes Developments of conventional Quantitative Structure-Activity Relationships (QSAR) Computational tools for manipulating chemical and biological data Novel ways of probing the interactions between small molecules and proteins Also including insight from public (NIH), academic, and industrial sources (Novartis, Pfizer), this book offers expert knowledge to aid scientists through industry and academic study. The invaluable applications for drug discovery, cellular and molecular biology, enzymology, and metabolism make Computational Approaches in Cheminformatics and Bioinformatics the essential guidebook for evolving drug discovery research and alleviating the issue of chemical control and manipulation of various systems.
Author: Andrew R. Leach
Publisher: Springer
ISBN: 1402062915
Category : Science
Languages : en
Pages : 260
Get Book Here
Book Description
This book aims to provide an introduction to the major techniques of chemoinformatics. It is the first text written specifically for this field. The first part of the book deals with the representation of 2D and 3D molecular structures, the calculation of molecular descriptors and the construction of mathematical models. The second part describes other important topics including molecular similarity and diversity, the analysis of large data sets, virtual screening, and library design. Simple illustrative examples are used throughout to illustrate key concepts, supplemented with case studies from the literature.
Author: Kunal Roy
Publisher: John Wiley & Sons
ISBN: 1119681596
Category : Science
Languages : de
Pages : 596
Get Book Here
Book Description
CHEMOMETRICS AND CHEMINFORMATICS IN AQUATIC TOXICOLOGY Explore chemometric and cheminformatic techniques and tools in aquatic toxicology Chemometrics and Cheminformatics in Aquatic Toxicology delivers an exploration of the existing and emerging problems of contamination of the aquatic environment through various metal and organic pollutants, including industrial chemicals, pharmaceuticals, cosmetics, biocides, nanomaterials, pesticides, surfactants, dyes, and more. The book discusses different chemometric and cheminformatic tools for non-experts and their application to the analysis and modeling of toxicity data of chemicals to various aquatic organisms. You’ll learn about a variety of aquatic toxicity databases and chemometric software tools and webservers as well as practical examples of model development, including illustrations. You’ll also find case studies and literature reports to round out your understanding of the subject. Finally, you’ll learn about tools and protocols including machine learning, data mining, and QSAR and ligand-based chemical design methods. Readers will also benefit from the inclusion of: A thorough introduction to chemometric and cheminformatic tools and techniques, including machine learning and data mining An exploration of aquatic toxicity databases, chemometric software tools, and webservers Practical examples and case studies to highlight and illustrate the concepts contained within the book A concise treatment of chemometric and cheminformatic tools and their application to the analysis and modeling of toxicity data Perfect for researchers and students in chemistry and the environmental and pharmaceutical sciences, Chemometrics and Cheminformatics in Aquatic Toxicology will also earn a place in the libraries of professionals in the chemical industry and regulators whose work involves chemometrics.
Author:
Publisher: Elsevier
ISBN: 044452701X
Category : Science
Languages : en
Pages : 2880
Get Book Here
Book Description
Designed to serve as the first point of reference on the subject, Comprehensive Chemometrics presents an integrated summary of the present state of chemical and biochemical data analysis and manipulation. The work covers all major areas ranging from statistics to data acquisition, analysis, and applications. This major reference work provides broad-ranging, validated summaries of the major topics in chemometrics—with chapter introductions and advanced reviews for each area. The level of material is appropriate for graduate students as well as active researchers seeking a ready reference on obtaining and analyzing scientific data. Features the contributions of leading experts from 21 countries, under the guidance of the Editors-in-Chief and a team of specialist Section Editors: L. Buydens; D. Coomans; P. Van Espen; A. De Juan; J.H. Kalivas; B.K. Lavine; R. Leardi; R. Phan-Tan-Luu; L.A. Sarabia; and J. Trygg Examines the merits and limitations of each technique through practical examples and extensive visuals: 368 tables and more than 1,300 illustrations (750 in full color) Integrates coverage of chemical and biological methods, allowing readers to consider and test a range of techniques Consists of 2,200 pages and more than 90 review articles, making it the most comprehensive work of its kind Offers print and online purchase options, the latter of which delivers flexibility, accessibility, and usability through the search tools and other productivity-enhancing features of ScienceDirect
Author: Sean Ekins
Publisher: John Wiley & Sons
ISBN: 1118026020
Category : Science
Languages : en
Pages : 462
Get Book Here
Book Description
Methods, Processes, and Tools for Collaboration "The time has come to fundamentally rethink how we handle the building of knowledge in biomedical sciences today. This book describes how the computational sciences have transformed into being a key knowledge broker, able to integrate and operate across divergent data types." Bryn Williams-Jones, Associate Research Fellow, Pfizer The pharmaceutical industry utilizes an extended network of partner organizations in order to discover and develop new drugs, however there is currently little guidance for managing information and resources across collaborations. Featuring contributions from the leading experts in a range of industries, Collaborative Computational Technologies for Biomedical Research provides information that will help organizations make critical decisions about managing partnerships, including: Serving as a user manual for collaborations Tackling real problems from both human collaborative and data and informatics perspectives Providing case histories of biomedical collaborations and technology-specific chapters that balance technological depth with accessibility for the non-specialist reader A must-read for anyone working in the pharmaceuticals industry or academia, this book marks a major step towards widespread collaboration facilitated by computational technologies.
Author: Bharath Ramsundar
Publisher: O'Reilly Media
ISBN: 1492039802
Category : Science
Languages : en
Pages : 236
Get Book Here
Book Description
Deep learning has already achieved remarkable results in many fields. Now it’s making waves throughout the sciences broadly and the life sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics, chemistry, biophysics, microscopy, medical analysis, and other fields. Ideal for practicing developers and scientists ready to apply their skills to scientific applications such as biology, genetics, and drug discovery, this book introduces several deep network primitives. You’ll follow a case study on the problem of designing new therapeutics that ties together physics, chemistry, biology, and medicine—an example that represents one of science’s greatest challenges. Learn the basics of performing machine learning on molecular data Understand why deep learning is a powerful tool for genetics and genomics Apply deep learning to understand biophysical systems Get a brief introduction to machine learning with DeepChem Use deep learning to analyze microscopic images Analyze medical scans using deep learning techniques Learn about variational autoencoders and generative adversarial networks Interpret what your model is doing and how it’s working
Author:
Publisher: ScholarlyEditions
ISBN: 1464920710
Category : Computers
Languages : en
Pages : 2431
Get Book Here
Book Description
Advances in Information Technology Research and Application: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Information Technology. The editors have built Advances in Information Technology Research and Application: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Information Technology in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Advances in Information Technology Research and Application: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.
Author: Fidele Ntie-Kang
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110579456
Category : Science
Languages : en
Pages : 617
Get Book Here
Book Description
Vol. 1 of Chemoinformatics of Natural Products presents an overview of natural products chemistry, discussing the chemical space of naturally occurring compounds, followed by an overview of computational methods.
