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1 Ergebnisse
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Cheminformatics and Machine Learning Approaches to Assess A..:
Fjodorova, Natalja
;
Novič, Marjana
;
Venko, Katja
...
International Journal of Molecular Sciences. 24 (2023) 18 - p. 14160 , 2023
Link:
https://doi.org/10.3390/ijms241814160
RT Journal T1 <Title>Cheminformatics and Machine Learning Approaches to Assess Aquatic Toxicity Profiles of Fullerene Derivatives</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.3390_ijms241814160&Exemplar=1&LAN=DE A1 Fjodorova, Natalja A1 Novič, Marjana A1 Venko, Katja A1 Rasulev, Bakhtiyor A1 Türker Saçan, Melek A1 Tugcu, Gulcin A1 Sağ Erdem, Safiye A1 Toropova, Alla P. A1 Toropov, Andrey A. PB MDPI AG YR 2023 SN 1422-0067 JF International Journal of Molecular Sciences VO 24 IS 18 SP 14160 LK http://dx.doi.org/https://doi.org/10.3390/ijms241814160 DO https://doi.org/10.3390/ijms241814160 SF ELIB - SuUB Bremen
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