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  • Conference proceedings
  • © 1988

Physical Property Prediction in Organic Chemistry

Proceedings of the Beilstein Workshop, 16–20th May, 1988, Schloss Korb, Italy

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Table of contents (34 papers)

  1. Front Matter

    Pages I-X
  2. Data About Data

    • László Domokos
    Pages 11-18
  3. Physico-Chemical Property Data Bank of the Prague Institute of Chemical Technology

    • Pavel Chuchvalec, Kvetoslav Ruzicka, Stanislav Labik, Vlastimil Ruzicka Jr.
    Pages 89-94
  4. Prediction of Physicochemical Properties of Organic Compounds from Molecular Structure

    • P. C. Jurs, M. N. Hasan, P. J. Hansen, R. H. Rohrbaugh
    Pages 209-233
  5. Total System of Molecular Design

    • Shin-ichi Sasaki, Yoshimasa Takahashi, Kimito Funatsu
    Pages 255-301

About this book

For more than 100 years the Beilstein Handbook has been publishing checked and evaluated data on organic compounds. It has become the major reference book for the chemical and physical properties of organic com­ pounds. The prediction of these physical properties was the subject of the Beilstein workshop. The ability to predict physical properties is for several reasons of great interest to the Beilstein Institute. It is of primary importance to be able to check the abstracted data for accuracy and to eliminate simple mistakes like typing errors. Presently all the work whether manuscript writing or evaluation of data is carried out manually. This is very time consuming, with the entry of Beilstein into electronic data gathering and publication, the opportunity for computerized consistency checking has become available. Contrary to belief, when one examines the Beilstein Handbook or Chemical Abstracts there is a dearth of chemical information. There are a great many compounds but few are well defined resulting in large gaps in the information available to the chemist. These information gaps could be filled by using algorithmic methods to estimate the properties of interest. An important question to answer is "What is the chemist's reaction to estimated data?" Will he accept it for use, within limits defined by the method, or will it be unacceptable and therefore detrimental for the data base. However if one could partly fill gaps in the data base the increase in the power of the search techniques would be marked.

Editors and Affiliations

  • Beilstein Institut, Frankfurt/M. 90, Federal Republic of Germany

    Clemens Jochum, Martin G. Hicks, Josef Sunkel

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access