Last edited by Tojazuru
Friday, April 24, 2020 | History

11 edition of Functional informatics in drug discovery found in the catalog.

Functional informatics in drug discovery

  • 213 Want to read
  • 23 Currently reading

Published by CRC Press in Boca Raton .
Written in English

    Subjects:
  • Bioinformatics,
  • Medical informatics,
  • Computational biology,
  • Pharmaceutical technology -- Data processing

  • Edition Notes

    Includes bibliographical references and index

    Statementedited by Sergey Ilyin
    SeriesDrug discovery series -- 9
    ContributionsIlyin, Sergey
    Classifications
    LC ClassificationsQH324.2 .F86 2008
    The Physical Object
    Paginationxii, 146 p. :
    Number of Pages146
    ID Numbers
    Open LibraryOL17239862M
    ISBN 101574444662
    ISBN 109781574444667
    LC Control Number2007013029

    Bioinformatics and Drug Discovery (Methods in Molecular Biology) Book Title:Bioinformatics and Drug Discovery (Methods in Molecular Biology) A collection of readily reproducible bioinformatic methods to advance the drug discovery process from gene identification to protein modeling to the identification of specific drug candidates. ITCR Annual Meeting Poster Abstract Book 1 ITCR Annual Meeting Poster Abstract Book Poster 1 - “Tools to Analyze Morphology and Spatially Mapped Molecular Data: Quantitative Imaging for Pathology (QuIP) Software Platform” - Joel Saltz, Ashish Sharma, Erich Bremer, Feiqiao Wang, Tammy DiPrima, Joe Balsamo, Ryan Birmingham, Jonas Almeida, Tahsin KurcFile Size: 1MB. CDD VAULT by Collaborative Drug Discovery is a simple and % secure data management platform hosted through an intuitive web interface CDD Vault helps your project team manage, analyze, and present chemical structures, biological assays, and other scientific data.


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Functional informatics in drug discovery Download PDF EPUB FB2

One of the first books to explore this area, Functional Informatics in Drug Discovery examines all aspects of technology integration and information flow in a biopharmaceutical enterprise and outlines the specific technologies used at Format: Hardcover.

The book first looks at intelligent automation, neurally based computational tools, and pharmacodynamic (PD) biomarkers. It then reviews a variety of novel technologies and approaches presently used in drug discovery at Johnson & Johnson.

The text also describes how informatics can advance antibody technology and drug development for oncology. Integrating various technologies with informational systems provides vast improvements to the overall research and development that occur in the biopharmaceutical industry.

One of the first books to explore this area, Functional Informatics in Drug Discovery examines all aspects of technology integration and information flow in a biopharmaceuticalCited by: 1. ISBN: OCLC Number: Description: xii, pages: illustrations ; 25 cm.

Contents: Intelligent automation / James M. Dixon --Neurally inspired algorithms as computational tools / Mark Flynn and Garrett T. Kenyon --Using pharmacodynamic biomarkers to accelerate early clinical drug development / Ole Vesterqvist --Opportunities in.

Book Review of Functional Informatics in Drug Discovery Functional Informatics in Drug Discovery. Edited by Sergey Ilyin.

Article in Journal of Medicinal Chemistry 51(8) April Author: Peter Gund. This is essential reading for IT professionals and scientists in the pharmaceutical industry as well as researchers involved in informatics and ADMET, drug discovery, and technology development.

The book's cross-functional, all-phases approach provides a unique opportunity for a holistic analysis and assessment of computer applications in. Request PDF | OnJürgen Bajorath and others published Functional Informatics in Drug Discovery. Edited by Sergey Ilyin | Find, read and cite all Author: Jürgen Bajorath.

RETURN TO ISSUE PREV Book Review NEXT. Book Review of Functional Informatics in Drug Discovery. Peter Gund; View Author Information. Gund Discovery Services Sunbright LaneGermantown, Maryland Cite this: J. Med. Chem.51, 8, Publication Date (Web): Ma Author: Peter Gund.

The multidisciplinary informatics needs of the pharmaceutical industry (HTS High Throughput Screening data, Computational Chemistry, Combinatorial Chemistry, ADME Informatics, Cheminformatics, Toxicology, Metabolic Modeling, Bioinformatics in Drug Discovery and Metabolism etc.

information access and communication between various departments. Bioinformatics and Computational Biology in Drug Discovery and Development is a road map to an inevitable future - a future where data define disease, diagnosis and drugs.

This book is an essential companion for anyone in drug development /5(6). Bioinformatics and Drug Discovery 1. Bioinformatics application in Drug Discovery 2. The “old” biology The most challenging task for a scientist is to get good data 3.

The “new” biology The most challenging task for a scientist is to make sense of lots of data 4. Objectives. The objectives of IJFIPM are to promote dialogue among researchers from multiple disciplines and the advancement of innovative medicine, biotechnology, environmental, biomedical and pharmaceutical sciences driven by functional informatics and personalised medicine.

The journal also seeks to establish an effective communication channel between. Transforming medicine: functional informatics, drug design, and personalised healthcare Transforming medicine: functional informatics, drug design, and personalised healthcare Yang, Jack Y.

; Yang, Mary Qu High throughput sequencing and molecular imaging technologies marked the beginning of a new era for modern translational. Computational functional group mapping (cFGM) is emerging as a high-impact complement to existing widely used experimental and computational structure-based drug discovery methods.

cFGM provides comprehensive atomic-resolution 3D maps of the affinity of functional groups that can constitute drug-like molecules for a given target, typically a by: 5.

Informatics for Materials Science and Engineering Some of the concepts and topics to be covered in this book are introduced, including information networks, data mining, databases, and combinatorial experiments to mention a few. From Drug Discovery QSAR to Predictive Materials QSPR: The Evolution of Descriptors, Methods, and Models.

Drug discovery and development is a complex, high risk, time consuming and potentially highly rewarding process. Pharmaceutical companies literally burn millions of dollar per drug to bring it to the market. The development of a new drug requires a technological expertise, human resources and huge capital investment.

It also requires strict adherence to regulations Cited by: Building on the success of the previous editions, the Textbook of Drug Design and Discovery, Fifth Edition, has been thoroughly revised and updated to provide a complete source of information on all facets of drug design and discovery for students of chemistry, pharmacy, pharmacology, biochemistry, and medicine.

ISBN: OCLC Number: Description: 1 online resource (xii, pages): illustrations: Contents: Intelligent automation / James M. Dixon --Neurally inspired algorithms as computational tools / Mark Flynn and Garrett T. Kenyon --Using pharmacodynamic biomarkers to accelerate early clinical drug development / Ole Vesterqvist.

Featuring contributions from more than fifty pre-eminent scientists, Computational Medicinal Chemistry for Drug Discovery surveys molecular structure computation, intermolecular behavior, ligand-receptor interaction, and modeling responding to market demands in its selection and authoritative treatment of topics.

The first step in the drug discovery pipeline is the characterisation of the disease process and identification of drug ('therapeutic') targets. Here, a 'target' is defined as a protein or messenger RNA which, when modified by a drug, favourably affects the outcome of a disease.

For the purpose of this report, Grand View Research has segmented the global drug discovery informatics market report on the basis of workflow, services, mode, and region: Workflow Outlook (Revenue, USD Million, - ) Drug Discovery. Identification & Validation Informatics Assay Development Informatics.

Lead Generation information processing. In Bioinformatics and Drug Discovery, a panel of researchers from academic and pharmaceutical laboratories describes readily reproducible bioinformatic methods to advance the drug discovery process from gene identification to protein modeling to.

This book presents a view of SI that emphasizes the core relationship among people, ICT and organizational and social life from a perspective that integrates aspects of social theory and demonstrates clearly that social informatics has never been a more necessary research endeavor than it is now.

Functional Informatics in Drug Discovery. Functional Informatics in Drug Discovery 1st Edition. Sergey Ilyin Aug Integrating various technologies with informational systems provides vast improvements to the overall research and development that occur in the biopharmaceutical industry.

Adoption of a scientific informatics system is essential to the success of every drug discovery organisation. This article discusses how we can drive strategic improvements in biologics drug discovery using scientific informatics.

Functional Protein Microarrays in Drug Discovery by Paul F. Predki,available at Book Depository with free delivery : Paul F. Predki. Bioinformatics tools for drug discovery data analysis Drug discovery and drug design is a field of proteomics and metabolomics that focuses on the identification, characterization and optimization of new compounds that exert biological activities by activating or inhibiting the function of a biomolecule involved in a disease or pathology.

View our complete catalog of authoritative Drug Discovery related book titles and textbooks published by Routledge and CRC Press. Garland Science Website Announcement × Close.

The Garland Science website is no longer available to access and you have been automatically redirected to For a full spectrum of potential applications of Biopharmaceutical Informatics, the reader is referred to the book ‘Developability of Biotherapeutics: Computational Approaches’.

4 In recent years, computational tools are being increasingly used for developability assessments of biologic drug candidates at the early stages of discovery and Cited by: 8.

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In the fields of medicine, biotechnology and pharmacology, drug discovery is the process by which new candidate medications are discovered.

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Functional Informatics in Drug Discovery. Drug Discovery Series, Volume 9. by Sergey Ilyin eBook: レンタル not available: Digital not available: No copies of this book were found in stock from online book stores and marketplaces. Alert me when this book becomes : Sergey Ilyin.

Drug Discovery Today is a review journal, published as monthly 12 double issues. The journal covers the whole of the preclinical drug discovery process, from target identification and validation, through hit identification, lead identification and optimisation, though to candidate selection. The reviews are at the cutting edge of the science underpinning drug discovery.

Impressive progress in genome sequencing, protein expression and high-throughput crystallography and NMR has radically transformed the opportunities to use protein three-dimensional structures to accelerate drug discovery, but the quantity and complexity of the data have ensured a central place for by: 14 PART I / PRINCIPLES OF DRUG DISCOVERY used in both Chinese traditional medicine and Ayurvedic medicine.

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We have compiled all articles on docking into a Special Issue. This is a complete guide on molecular docking using Autodock Vina for beginners. It includes blind docking, site Cited by: 2.

This is essential reading for IT professionals and scientists in the pharmaceutical industry as well as researchers involved in informatics and ADMET, drug discovery, and technology development. The book's cross-functional, all-phases approach provides a unique opportunity for a holistic analysis and assessment of computer applications in /5(2).

Drug discovery informatics. informatics: informatics is a branch of information engineering. It involves the practice of information processing and the engineering of information systems, and as an academic field it is an applied form of information science.

The field considers the interaction between humans and information alongside the.New approaches to protein functional inference based on protein structure and evolution are described. First, FINDSITE, a threading based approach to protein function prediction, is summarized.

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