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Journal of cheminformatics

Showing results (161-170 of 1,439) with videos related to

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Journal of Cheminformatics|January 12, 2021
Flexible heuristic algorithm for automatic molecule fragmentation: application to the UNIFAC group contribution modelSimon Müller
Journal of Cheminformatics|January 12, 2021
Learning cheminformaticsRajarshi Guha, Egon Willighagen
Journal of Cheminformatics|January 12, 2021
Randomized SMILES strings improve the quality of molecular generative modelsJosep Arús-Pous, Simon Viet Johansson, Oleksii Prykhodko, et al.
Journal of Cheminformatics|January 12, 2021
The rcdk and cluster R packages applied to drug candidate selectionAdrian Voicu, Narcis Duteanu, Mirela Voicu, et al.
Journal of Cheminformatics|January 12, 2021
Building attention and edge message passing neural networks for bioactivity and physical-chemical property predictionM Withnall, E Lindelöf, O Engkvist, et al.
Journal of Cheminformatics|January 12, 2021
Dataset's chemical diversity limits the generalizability of machine learning predictionsMarta Glavatskikh, Jules Leguy, Gilles Hunault, et al.
Journal of Cheminformatics|January 12, 2021
Linking chemical and disease entities to ontologies by integrating PageRank with extracted relations from literaturePedro Ruas, Andre Lamurias, Francisco M Couto
Journal of Cheminformatics|January 12, 2021
Multiobjective de novo drug design with recurrent neural networks and nondominated sortingJacob Yasonik
Journal of Cheminformatics|January 12, 2021
SIME: synthetic insight-based macrolide enumerator to generate the V1B library of 1 billion macrolidesPhyo Phyo Kyaw Zin, Gavin Williams, Denis Fourches
Journal of Cheminformatics|January 12, 2021
Transformer-CNN: Swiss knife for QSAR modeling and interpretationPavel Karpov, Guillaume Godin, Igor V Tetko
Pageof 144

Showing results (161-170 of 1,439) with videos related to

Sort By:
Pageof 144
Journal of Cheminformatics|January 12, 2021
Flexible heuristic algorithm for automatic molecule fragmentation: application to the UNIFAC group contribution modelSimon Müller
Journal of Cheminformatics|January 12, 2021
Learning cheminformaticsRajarshi Guha, Egon Willighagen
Journal of Cheminformatics|January 12, 2021
Randomized SMILES strings improve the quality of molecular generative modelsJosep Arús-Pous, Simon Viet Johansson, Oleksii Prykhodko, et al.
Journal of Cheminformatics|January 12, 2021
The rcdk and cluster R packages applied to drug candidate selectionAdrian Voicu, Narcis Duteanu, Mirela Voicu, et al.
Journal of Cheminformatics|January 12, 2021
Building attention and edge message passing neural networks for bioactivity and physical-chemical property predictionM Withnall, E Lindelöf, O Engkvist, et al.
Journal of Cheminformatics|January 12, 2021
Dataset's chemical diversity limits the generalizability of machine learning predictionsMarta Glavatskikh, Jules Leguy, Gilles Hunault, et al.
Journal of Cheminformatics|January 12, 2021
Linking chemical and disease entities to ontologies by integrating PageRank with extracted relations from literaturePedro Ruas, Andre Lamurias, Francisco M Couto
Journal of Cheminformatics|January 12, 2021
Multiobjective de novo drug design with recurrent neural networks and nondominated sortingJacob Yasonik
Journal of Cheminformatics|January 12, 2021
SIME: synthetic insight-based macrolide enumerator to generate the V1B library of 1 billion macrolidesPhyo Phyo Kyaw Zin, Gavin Williams, Denis Fourches
Journal of Cheminformatics|January 12, 2021
Transformer-CNN: Swiss knife for QSAR modeling and interpretationPavel Karpov, Guillaume Godin, Igor V Tetko
Pageof 144