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Journal of Cheminformatics
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February 15, 2023
UnCorrupt SMILES: a novel approach to de novo design
Linde Schoenmaker, Olivier J M Béquignon, Willem Jespers, et al.
Journal of Cheminformatics
|
February 21, 2023
Notes on molecular fragmentation and parameter settings for a dissipative particle dynamics study of a C<sub>10</sub>E<sub>4</sub>/water mixture with lamellar bilayer formation
Felix Bänsch, Christoph Steinbeck, Achim Zielesny
Journal of Cheminformatics
|
February 27, 2023
ABT-MPNN: an atom-bond transformer-based message-passing neural network for molecular property prediction
Chengyou Liu, Yan Sun, Rebecca Davis, et al.
Journal of Cheminformatics
|
February 24, 2023
Predicting RP-LC retention indices of structurally unknown chemicals from mass spectrometry data
Jim Boelrijk, Denice van Herwerden, Bernd Ensing, et al.
Journal of Cheminformatics
|
February 27, 2025
Pretraining graph transformers with atom-in-a-molecule quantum properties for improved ADMET modeling
Alessio Fallani, Ramil Nugmanov, Jose Arjona-Medina, et al.
Journal of Cheminformatics
|
February 26, 2025
Infrared spectrum analysis of organic molecules with neural networks using standard reference data sets in combination with real-world data
Dev Punjabi, Yu-Chieh Huang, Laura Holzhauer, et al.
Journal of Cheminformatics
|
March 2, 2025
GNINA 1.3: the next increment in molecular docking with deep learning
Andrew T McNutt, Yanjing Li, Rocco Meli, et al.
Journal of Cheminformatics
|
January 28, 2025
hERGAT: predicting hERG blockers using graph attention mechanism through atom- and molecule-level interaction analyses
Dohyeon Lee, Sunyong Yoo
Journal of Cheminformatics
|
January 31, 2025
APBIO: bioactive profiling of air pollutants through inferred bioactivity signatures and prediction of novel target interactions
Eva Viesi, Ugo Perricone, Patrick Aloy, et al.
Journal of Cheminformatics
|
February 5, 2025
Positional embeddings and zero-shot learning using BERT for molecular-property prediction
Medard Edmund Mswahili, JunHa Hwang, Jagath C Rajapakse, et al.
Page
of 137
Search research articles
Search
Showing results (571-580 of 1,363) with videos related to
Sort By:
Page
of 137
Journal of Cheminformatics
|
February 15, 2023
UnCorrupt SMILES: a novel approach to de novo design
Linde Schoenmaker, Olivier J M Béquignon, Willem Jespers, et al.
Journal of Cheminformatics
|
February 21, 2023
Notes on molecular fragmentation and parameter settings for a dissipative particle dynamics study of a C<sub>10</sub>E<sub>4</sub>/water mixture with lamellar bilayer formation
Felix Bänsch, Christoph Steinbeck, Achim Zielesny
Journal of Cheminformatics
|
February 27, 2023
ABT-MPNN: an atom-bond transformer-based message-passing neural network for molecular property prediction
Chengyou Liu, Yan Sun, Rebecca Davis, et al.
Journal of Cheminformatics
|
February 24, 2023
Predicting RP-LC retention indices of structurally unknown chemicals from mass spectrometry data
Jim Boelrijk, Denice van Herwerden, Bernd Ensing, et al.
Journal of Cheminformatics
|
February 27, 2025
Pretraining graph transformers with atom-in-a-molecule quantum properties for improved ADMET modeling
Alessio Fallani, Ramil Nugmanov, Jose Arjona-Medina, et al.
Journal of Cheminformatics
|
February 26, 2025
Infrared spectrum analysis of organic molecules with neural networks using standard reference data sets in combination with real-world data
Dev Punjabi, Yu-Chieh Huang, Laura Holzhauer, et al.
Journal of Cheminformatics
|
March 2, 2025
GNINA 1.3: the next increment in molecular docking with deep learning
Andrew T McNutt, Yanjing Li, Rocco Meli, et al.
Journal of Cheminformatics
|
January 28, 2025
hERGAT: predicting hERG blockers using graph attention mechanism through atom- and molecule-level interaction analyses
Dohyeon Lee, Sunyong Yoo
Journal of Cheminformatics
|
January 31, 2025
APBIO: bioactive profiling of air pollutants through inferred bioactivity signatures and prediction of novel target interactions
Eva Viesi, Ugo Perricone, Patrick Aloy, et al.
Journal of Cheminformatics
|
February 5, 2025
Positional embeddings and zero-shot learning using BERT for molecular-property prediction
Medard Edmund Mswahili, JunHa Hwang, Jagath C Rajapakse, et al.
Page
of 137