Comparison of chemical databases: Analysis of molecular diversity with Self Organising Maps (SOM)
Analusis, 26 8 (1998) 333-341
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
13141 119 (2022)
https://doi.org/10.1007/978-3-030-98358-1_10
Diversifying chemical libraries with generative topographic mapping
Arkadii Lin, Bernd Beck, Dragos Horvath, Gilles Marcou and Alexandre VarnekJournal of Computer-Aided Molecular Design 34 (7) 805 (2020)
https://doi.org/10.1007/s10822-019-00215-x
Application of QSPR-MLR methodology to solvatochromic behavior of quinoline in binary solvent HBD/DMF mixtures
Lídia M.V. Pinheiro, Maria Cristina M.M. Ventura and Maria Luísa C.J. MoitaJournal of Molecular Liquids 154 (2-3) 102 (2010)
https://doi.org/10.1016/j.molliq.2010.04.013
423 (2009)
https://doi.org/10.1002/9780470567623.ch15
457 (2009)
https://doi.org/10.1002/9780470567623.ch16
https://doi.org/10.1002/9783527628766.biblio
Use of self-organizing maps and molecular descriptors to predict the cytotoxic activity of sesquiterpene lactones
Mariane B. Fernandes, Marcus T. Scotti, Marcelo J.P. Ferreira and Vicente P. EmerencianoEuropean Journal of Medicinal Chemistry 43 (10) 2197 (2008)
https://doi.org/10.1016/j.ejmech.2008.01.003
Genetic algorithms and self-organizing maps: a powerful combination for modeling complex QSAR and QSPR problems
Ersin Bayram, Peter Santago, Rebecca Harris, et al.Journal of Computer-Aided Molecular Design 18 (7-9) 483 (2004)
https://doi.org/10.1007/s10822-004-5321-2
Status of HTS Data Mining Approaches
Alexander Böcker, Gisbert Schneider and Andreas TeckentrupQSAR & Combinatorial Science 23 (4) 207 (2004)
https://doi.org/10.1002/qsar.200330860
Computational Medicinal Chemistry for Drug Discovery
Michael Engels and Theo ReijmersComputational Medicinal Chemistry for Drug Discovery (2003)
https://doi.org/10.1201/9780203913390.ch25
Artificial neural networks and genetic algorithms in QSAR
Stefan P NiculescuJournal of Molecular Structure: THEOCHEM 622 (1-2) 71 (2003)
https://doi.org/10.1016/S0166-1280(02)00619-X
Chemoinformatics and Drug Discovery
Jun Xu and Arnold HaglerMolecules 7 (8) 566 (2002)
https://doi.org/10.3390/70800566
Comparison of the NCI Open Database with Seven Large Chemical Structural Databases
Johannes H. Voigt, Bruno Bienfait, Shaomeng Wang and Marc C. NicklausJournal of Chemical Information and Computer Sciences 41 (3) 702 (2001)
https://doi.org/10.1021/ci000150t
Visual and computational analysis of structure–activity relationships in high-throughput screening data
Peter Gedeck and Peter WillettCurrent Opinion in Chemical Biology 5 (4) 389 (2001)
https://doi.org/10.1016/S1367-5931(00)00219-2
Molecular Dataset Diversity Indices and Their Applications to Comparison of Chemical Databases and QSAR Analysis
Alexander GolbraikhJournal of Chemical Information and Computer Sciences 40 (2) 414 (2000)
https://doi.org/10.1021/ci990437u
16 53 (2000)
https://doi.org/10.1002/9780470125939.ch2
https://doi.org/10.1002/9783527613106.biblio
Hybrid Systems for Virtual Screening: Interest of Fuzzy Clustering Applied to Olfaction
F. Ros, K. Audouze, M. Pintore and J. R. ChrétienSAR and QSAR in Environmental Research 11 (3-4) 281 (2000)
https://doi.org/10.1080/10629360008033236