Bibliographic Details
| Title: |
19F NMR chemical shift prediction with fluorine fingerprint descriptor |
| Authors: |
Vulpetti, Anna anna.vulpetti@novartis.com, Landrum, Gregory1, Rüdisser, Simon1, Erbel, Paulus1, Dalvit, Claudio1 |
| Source: |
Journal of Fluorine Chemistry. May2010, Vol. 131 Issue 5, p570-577. 8p. |
| Subjects: |
Fluorine, Nuclear magnetic resonance spectroscopy, Algorithms, Chemical structure, Drug development, Comparative studies |
| Abstract: |
Abstract: A novel strategy for 19F chemical shift prediction is described. The approach is based on a new fluorine fingerprint descriptor and a distance-weighted k-nearest neighbors algorithm applied on a training set of known chemical shifts measured for different fluorine local chemical environments. It is simple, fast, accurate and interpretable, as it allows the user to compare the predicted chemical shift with the experimental chemical shifts of the neighbor structures, analyse the variability in their chemical shifts, and based on that have a knowledge-based assessment of the reliability of the prediction. Possible applications of this approach in combination with 19F NMR-based screening in drug-discovery projects are discussed. [Copyright &y& Elsevier] |
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Copyright of Journal of Fluorine Chemistry is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |