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Journal of Cheminformatics
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January 7, 2023
Papyrus: a large-scale curated dataset aimed at bioactivity predictions
O J M Béquignon, B J Bongers, W Jespers, et al.
Journal of Cheminformatics
|
January 12, 2021
A de novo molecular generation method using latent vector based generative adversarial network
Oleksii Prykhodko, Simon Viet Johansson, Panagiotis-Christos Kotsias, et al.
Journal of Cheminformatics
|
January 12, 2021
Identifying new topoisomerase II poison scaffolds by combining publicly available toxicity data and 2D/3D-based virtual screening
Anna Lovrics, Veronika F S Pape, Dániel Szisz, et al.
Journal of Cheminformatics
|
January 12, 2021
Machine learning models for hydrogen bond donor and acceptor strengths using large and diverse training data generated by first-principles interaction free energies
Christoph A Bauer, Gisbert Schneider, Andreas H Göller
Journal of Cheminformatics
|
January 12, 2021
The diatomic molecular spectroscopy database
Xiangyue Liu, Stefan Truppe, Gerard Meijer, et al.
Journal of Cheminformatics
|
January 12, 2021
Open-source QSAR models for pKa prediction using multiple machine learning approaches
Kamel Mansouri, Neal F Cariello, Alexandru Korotcov, et al.
Journal of Cheminformatics
|
January 12, 2021
A general approach for retrosynthetic molecular core analysis
J Jesús Naveja, B Angélica Pilón-Jiménez, Jürgen Bajorath, et al.
Journal of Cheminformatics
|
January 12, 2021
The chemfp project
Andrew Dalke
Journal of Cheminformatics
|
January 12, 2021
Inductive transfer learning for molecular activity prediction: Next-Gen QSAR Models with MolPMoFiT
Xinhao Li, Denis Fourches
Journal of Cheminformatics
|
January 12, 2021
Efficient learning of non-autoregressive graph variational autoencoders for molecular graph generation
Youngchun Kwon, Jiho Yoo, Youn-Suk Choi, et al.
Page
of 137
Search research articles
Search
Showing results (481-490 of 1,363) with videos related to
Sort By:
Page
of 137
Journal of Cheminformatics
|
January 7, 2023
Papyrus: a large-scale curated dataset aimed at bioactivity predictions
O J M Béquignon, B J Bongers, W Jespers, et al.
Journal of Cheminformatics
|
January 12, 2021
A de novo molecular generation method using latent vector based generative adversarial network
Oleksii Prykhodko, Simon Viet Johansson, Panagiotis-Christos Kotsias, et al.
Journal of Cheminformatics
|
January 12, 2021
Identifying new topoisomerase II poison scaffolds by combining publicly available toxicity data and 2D/3D-based virtual screening
Anna Lovrics, Veronika F S Pape, Dániel Szisz, et al.
Journal of Cheminformatics
|
January 12, 2021
Machine learning models for hydrogen bond donor and acceptor strengths using large and diverse training data generated by first-principles interaction free energies
Christoph A Bauer, Gisbert Schneider, Andreas H Göller
Journal of Cheminformatics
|
January 12, 2021
The diatomic molecular spectroscopy database
Xiangyue Liu, Stefan Truppe, Gerard Meijer, et al.
Journal of Cheminformatics
|
January 12, 2021
Open-source QSAR models for pKa prediction using multiple machine learning approaches
Kamel Mansouri, Neal F Cariello, Alexandru Korotcov, et al.
Journal of Cheminformatics
|
January 12, 2021
A general approach for retrosynthetic molecular core analysis
J Jesús Naveja, B Angélica Pilón-Jiménez, Jürgen Bajorath, et al.
Journal of Cheminformatics
|
January 12, 2021
The chemfp project
Andrew Dalke
Journal of Cheminformatics
|
January 12, 2021
Inductive transfer learning for molecular activity prediction: Next-Gen QSAR Models with MolPMoFiT
Xinhao Li, Denis Fourches
Journal of Cheminformatics
|
January 12, 2021
Efficient learning of non-autoregressive graph variational autoencoders for molecular graph generation
Youngchun Kwon, Jiho Yoo, Youn-Suk Choi, et al.
Page
of 137