Treffer: Predicting Pesticide LC50 Toxicity Using Convolutional Neural Networks and Dragonfly-Support Vector Machine Methods with Quantitative Structure-Activity Relationship and 2D Molecular Fingerprints: A Case Study on Oncorhynchus Mykiss
Title:
Predicting Pesticide LC50 Toxicity Using Convolutional Neural Networks and Dragonfly-Support Vector Machine Methods with Quantitative Structure-Activity Relationship and 2D Molecular Fingerprints: A Case Study on Oncorhynchus Mykiss
Authors:
Mahtal, Badiet El Djamel Nedjma, Laidi, Maamar, Rahal, Soufiane, Hentabli, MohamedAff1, Aff2, Aff3, IDs42250025012397_cor1, Hamadache, Mabrouk
Source:
Chemistry Africa: A Journal of the Tunisian Chemical Society. 8(4):1463-1476
Database:
Springer Nature Journals