Loading [MathJax]/jax/output/SVG/config.js
Mendeleev Communications
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Mendeleev Commun.:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Mendeleev Communications, 2007, Volume 17, Issue 2, Pages 90–91
DOI: https://doi.org/10.1016/j.mencom.2007.03.012
(Mi mendc3387)
 

This article is cited in 11 scientific papers (total in 11 papers)

QSAR modeling on the basis of 3D descriptors representing the electrostatic molecular surface (ambergris fragrances)

I. Svitankoab, D. A. Devetyarovc, D. Chebukova, M. S. Dolmatb, A. M. Zakharovc, S. S. Grigor'evac, V. T. Chichuac, L. A. Ponomarevaa, M. Kumskova

a N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Moscow, Russian Federation
b Higher Chemical College of the Russian Academy of Sciences, D.I. Mendeleev University of Chemical Technology of Russia, Moscow, Russian Federation
c Department of Mechanics and Mathematics, M.V. Lomonosov Moscow State University, Moscow, Russian Federation
Abstract: A 3D-QSAR approach based on the electrostatic surface of molecules was used for the ambergris odour, and it showed a cross validation coefficient of 0.8.
Document Type: Article
Language: English


Citation: I. Svitanko, D. A. Devetyarov, D. Chebukov, M. S. Dolmat, A. M. Zakharov, S. S. Grigor'eva, V. T. Chichua, L. A. Ponomareva, M. Kumskov, “QSAR modeling on the basis of 3D descriptors representing the electrostatic molecular surface (ambergris fragrances)”, Mendeleev Commun., 17:2 (2007), 90–91
Linking options:
  • https://www.mathnet.ru/eng/mendc3387
  • https://www.mathnet.ru/eng/mendc/v17/i2/p90
  • This publication is cited in the following 11 articles:
    1. M. P. Egorov, V. P. Ananikov, E. G. Baskir, S. E. Boganov, V. I. Bogdan, A. N. Vereshchagin, V. A. Vil', I. L. Dalinger, A. D. Dilman, O. L. Eliseev, S. G. Zlotin, E. A. Knyazeva, V. M. Kogan, L. O. Kononov, M. M. Krayushkin, V. B. Krylov, L. M. Kustov, V. V. Levin, B. V. Lichitsky, M. G. Medvedev, N. E. Nifantiev, O. A. Rakitin, A. M. Sakharov, I. V. Svitanko, G. A. Smirnov, A. Yu. Stakheev, M. A. Syroeshkin, A. O. Terent'ev, Yu. V. Tomilov, E. V. Tretyakov, I. V. Trushkov, L. L. Fershtat, V. A. Chaliy, V. Z. Shirinian, “Current trends in organic chemistry: contribution of the N. D. Zelinsky Institute of Organic Chemistry of the Russian Academy of Sciences”, Russ Chem Bull, 73:9 (2024), 2423  crossref
    2. Federica Chiera, Giosuè Costa, Stefano Alcaro, Anna Artese, “An overview on olfaction in the biological, analytical, computational, and machine learning fields”, Archiv der Pharmazie, 2024  crossref
    3. I. V. Svitanko, T. S. Pivina, “Molecular modeling in synthesis: from statistical methods to quantum chemistry and practical applications”, Russ Chem Bull, 73:5 (2024), 1093  crossref
    4. Oxana N. Romashkova, Anna V. Belyakova, Ludmila A. Ponomareva, 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus), 2021, 2226  crossref
    5. I. Yu. Titov, V. S. Stroylov, P. V. Rusina, I. Svitanko, “Preliminary modelling as the first stage of targeted organic synthesis”, Russian Chem. Reviews, 90:7 (2021), 831–867  mathnet  mathnet  crossref  isi  scopus
    6. Anne Tromelin, Flavor, 2016, 181  crossref
    7. Marie-Annick Persuy, Guenhaël Sanz, Anne Tromelin, Thierry Thomas-Danguin, Jean-François Gibrat, Edith Pajot-Augy, Progress in Molecular Biology and Translational Science, 130, Molecular Basis of Olfaction, 2015, 1  crossref
    8. G. A. Gazieva, Yu. B. Vikharev, L. V. Anikina, T. B. Karpova, A. N. Kravchenko, E. A. Permyakov, I. Svitanko, “Target synthesis of bioactive thioglycolurils, based on QSAR predictions”, Mendeleev Commun., 23:4 (2013), 202–203  mathnet  crossref
    9. A. V. Perevoznikov, A. M. Shestov, E. A. Permyakov, M. I. Kumskov, “A way to increase the prediction quality for the large set of molecular graphs by using the k-NN classifier”, Pattern Recognit. Image Anal., 21:3 (2011), 545  crossref
    10. Aleksandr Perevoznikov, Alexey Shestov, Evgenii Permiakov, Mikhail Kumskov, Lecture Notes in Computer Science, 6744, Pattern Recognition and Machine Intelligence, 2011, 49  crossref
    11. D. A. Devet'yarov, “Estimation of the computational cost and analysis of application of fuzzy descriptors in QSAR problems”, Moscow Univ. Math. Bull., 65:3 (2010), 127  crossref
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Mendeleev Communications
    Statistics & downloads:
    Abstract page:37
    Full-text PDF :8
     
      Contact us:
    math-net2025_05@mi-ras.ru
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2025