Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences Book

Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences


  • Author : Navneet Sharma
  • Publisher : Elsevier
  • Release Date : 2021-05-21
  • Genre: Business & Economics
  • Pages : 512
  • ISBN 10 : 9780128217481
  • Total Read : 72
  • File Size : 15,9 Mb

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Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences Summary:

Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences brings together two very important fields in pharmaceutical sciences that have been mostly seen as diverging from each other: chemoinformatics and bioinformatics. As developing drugs is an expensive and lengthy process, technology can improve the cost, efficiency and speed at which new drugs can be discovered and tested. This book presents some of the growing advancements of technology in the field of drug development and how the computational approaches explained here can reduce the financial and experimental burden of the drug discovery process. This book will be useful to pharmaceutical science researchers and students who need basic knowledge of computational techniques relevant to their projects. Bioscientists, bioinformaticians, computational scientists, and other stakeholders from industry and academia will also find this book helpful. Provides practical information on how to choose and use appropriate computational tools Presents the wide, intersecting fields of chemo-bio-informatics in an easily-accessible format Explores the fundamentals of the emerging field of chemoinformatics and bioinformatics

Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences Book

Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences


  • Author : Navneet Sharma
  • Publisher : Academic Press
  • Release Date : 2021-05-21
  • Genre: Business & Economics
  • Pages : 510
  • ISBN 10 : 9780128217474
  • Total Read : 81
  • File Size : 6,9 Mb

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Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences Summary:

Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences brings together two very important fields in pharmaceutical sciences that have been mostly seen as diverging from each other: chemoinformatics and bioinformatics. As developing drugs is an expensive and lengthy process, technology can improve the cost, efficiency and speed at which new drugs can be discovered and tested. This book presents some of the growing advancements of technology in the field of drug development and how the computational approaches explained here can reduce the financial and experimental burden of the drug discovery process. This book will be useful to pharmaceutical science researchers and students who need basic knowledge of computational techniques relevant to their projects. Bioscientists, bioinformaticians, computational scientists, and other stakeholders from industry and academia will also find this book helpful. Provides practical information on how to choose and use appropriate computational tools Presents the wide, intersecting fields of chemo-bio-informatics in an easily-accessible format Explores the fundamentals of the emerging field of chemoinformatics and bioinformatics

Chemoinformatics and Advanced Machine Learning Perspectives  Complex Computational Methods and Collaborative Techniques Book

Chemoinformatics and Advanced Machine Learning Perspectives Complex Computational Methods and Collaborative Techniques


  • Author : Lodhi, Huma
  • Publisher : IGI Global
  • Release Date : 2010-07-31
  • Genre: Computers
  • Pages : 418
  • ISBN 10 : 9781615209125
  • Total Read : 99
  • File Size : 16,7 Mb

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Chemoinformatics and Advanced Machine Learning Perspectives Complex Computational Methods and Collaborative Techniques Summary:

"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.

Pharmaceutical Data Mining Book

Pharmaceutical Data Mining


  • Author : Konstantin V. Balakin
  • Publisher : John Wiley & Sons
  • Release Date : 2009-11-19
  • Genre: Medical
  • Pages : 584
  • ISBN 10 : 0470567619
  • Total Read : 73
  • File Size : 6,6 Mb

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Pharmaceutical Data Mining Summary:

Leading experts illustrate how sophisticated computational data mining techniques can impact contemporary drug discovery and development In the era of post-genomic drug development, extracting and applying knowledge from chemical, biological, and clinical data is one of the greatest challenges facing the pharmaceutical industry. Pharmaceutical Data Mining brings together contributions from leading academic and industrial scientists, who address both the implementation of new data mining technologies and application issues in the industry. This accessible, comprehensive collection discusses important theoretical and practical aspects of pharmaceutical data mining, focusing on diverse approaches for drug discovery—including chemogenomics, toxicogenomics, and individual drug response prediction. The five main sections of this volume cover: A general overview of the discipline, from its foundations to contemporary industrial applications Chemoinformatics-based applications Bioinformatics-based applications Data mining methods in clinical development Data mining algorithms, technologies, and software tools, with emphasis on advanced algorithms and software that are currently used in the industry or represent promising approaches In one concentrated reference, Pharmaceutical Data Mining reveals the role and possibilities of these sophisticated techniques in contemporary drug discovery and development. It is ideal for graduate-level courses covering pharmaceutical science, computational chemistry, and bioinformatics. In addition, it provides insight to pharmaceutical scientists, principal investigators, principal scientists, research directors, and all scientists working in the field of drug discovery and development and associated industries.

Cheminformatics and its Applications Book

Cheminformatics and its Applications


  • Author : Amalia Stefaniu
  • Publisher : BoD – Books on Demand
  • Release Date : 2020-07-15
  • Genre: Medical
  • Pages : 192
  • ISBN 10 : 9781838800673
  • Total Read : 86
  • File Size : 16,7 Mb

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Cheminformatics and its Applications Summary:

Cheminformatics has emerged as an applied branch of Chemistry that involves multidisciplinary knowledge, connecting related fields such as chemistry, computer science, biology, pharmacology, physics, and mathematical statistics.The book is organized in two sections, including multiple aspects related to advances in the development of informatic tools and their specific use in compound structure databases with various applications in life sciences, mainly in medicinal chemistry, for identification and development of new therapeutically active molecules. The book covers aspects related to genomic analysis, semantic similarity, chemometrics, pattern recognition techniques, chemical reactivity prediction, drug-likeness assessment, bioavailability, biological target recognition, machine-based drug discovery and design. Results from various computational tools and methods are discussed in the context of new compound design and development, sharing promising opportunities, and perspectives.

Chemoinformatics Approaches to Virtual Screening Book

Chemoinformatics Approaches to Virtual Screening


  • Author : Alexandre Varnek
  • Publisher : Royal Society of Chemistry
  • Release Date : 2008
  • Genre: Science
  • Pages : 356
  • ISBN 10 : 9780854041442
  • Total Read : 76
  • File Size : 15,6 Mb

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Chemoinformatics Approaches to Virtual Screening Summary:

"This book is the first monograph to summarize the innovative applications of efficient chemoinformatics approaches towards screening large chemical libraries.The focus on virtual screening expands chemoinformatics beyond its traditional boundaries as a synthetic and data-analytical area of research towards its recognition as a predictive and decision-support scientific discipline." "The monograph covers chemoinformatics approaches applicable to virtual screening of very large collections of chemical compounds to identify novel biologically active molecules. The discussed approaches rely on chemoinformatics concepts such as the representation of molecules using multiple descriptors of chemical structures, advanced chemical similarity calculations in multidimensional descriptor spaces, and machine learning and data mining approaches. Ligand-based approaches, which are in the focus of this work, are more computationally efficient compared to structure-based virtual screening."--BOOK JACKET.

Big Data Analytics in Chemoinformatics and Bioinformatics Book

Big Data Analytics in Chemoinformatics and Bioinformatics


  • Author : Subhash C. Basak
  • Publisher : Elsevier
  • Release Date : 2022-12-09
  • Genre: Science
  • Pages : 503
  • ISBN 10 : 9780323857147
  • Total Read : 91
  • File Size : 14,9 Mb

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Big Data Analytics in Chemoinformatics and Bioinformatics Summary:

Big Data Analytics in Chemoinformatics and Bioinformatics: With Applications to Computer-Aided Drug Design, Cancer Biology, Emerging Pathogens and Computational Toxicology provides an up-to-date presentation of big data analytics methods and their applications in diverse fields. The proper management of big data for decision-making in scientific and social issues is of paramount importance. This book gives researchers the tools they need to solve big data problems in these fields. It begins with a section on general topics that all readers will find useful and continues with specific sections covering a range of interdisciplinary applications. Here, an international team of leading experts review their respective fields and present their latest research findings, with case studies used throughout to analyze and present key information. Brings together the current knowledge on the most important aspects of big data, including analysis using deep learning and fuzzy logic, transparency and data protection, disparate data analytics, and scalability of the big data domain Covers many applications of big data analysis in diverse fields such as chemistry, chemoinformatics, bioinformatics, computer-assisted drug/vaccine design, characterization of emerging pathogens, and environmental protection Highlights the considerable benefits offered by big data analytics to science, in biomedical fields and in industry

Computational Approaches in Cheminformatics and Bioinformatics Book

Computational Approaches in Cheminformatics and Bioinformatics


  • Author : Rajarshi Guha
  • Publisher : John Wiley & Sons
  • Release Date : 2011-11-30
  • Genre: Science
  • Pages : 288
  • ISBN 10 : 9781118131428
  • Total Read : 90
  • File Size : 12,5 Mb

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Computational Approaches in Cheminformatics and Bioinformatics Summary:

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.