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Journal of cheminformatics

Showing results (651-660 of 1,363) with videos related to

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Journal of Cheminformatics|May 25, 2026
Integrating chemical structure and high-throughput transcriptomics for mechanistically interpretable Tox21 bioactivity predictionGuillaume Cattebeke, Anne-Sofie Vermeersch, Davie Cappoen, et al.
Journal of Cheminformatics|May 26, 2026
Predicting fire consequences with the transformer model based on multimodal feature fusionYilin Wang, Beibei Wang, Xiaolu Wang, et al.
Journal of Cheminformatics|May 22, 2026
ExPO: an exposure-conditioned neural operator for L1000 signature predictionAustin Spadaro, Alok Sharma, Iman Dehzangi
Journal of Cheminformatics|May 30, 2026
Assessing the factors influencing the quality of pocket-conditioned 3D generative modelsKunyu Wang, Helen Lai, Ross Irwin, et al.
Journal of Cheminformatics|June 4, 2026
Accurate prediction of activity cliff compounds based on bioactivity profiles depends on assay nearest neighbor relationshipsRyuto Abe, Tomoyuki Miyao, Jürgen Bajorath
Journal of Cheminformatics|February 4, 2016
Fragmentation trees reloadedSebastian Böcker, Kai Dührkop
Journal of Cheminformatics|November 1, 2017
G.A.M.E.: GPU-accelerated mixture elucidatorAlioune Schurz, Bo-Han Su, Yi-Shu Tu, et al.
Journal of Cheminformatics|May 29, 2026
Efficient fine-tuning of vision-language adapters in chemical VLMs for molecular image-text tasksHyukjun Choi, Donghyeon Lee, Juyoung Kang
Journal of Cheminformatics|June 12, 2026
MutAIverse: an AI-powered, mechanism-backed platform for discovering novel DNA adducts and their precursor genotoxinsShiva Satija, Sanjay Kumar Mohanty, Sachin B Jorvekar, et al.
Journal of Cheminformatics|July 3, 2026
Computational design of low-volatility lubricants for space using interpretable machine learningDaniel Miliate, Ashlie Martini
Pageof 137

Showing results (651-660 of 1,363) with videos related to

Sort By:
Pageof 137
Journal of Cheminformatics|May 25, 2026
Integrating chemical structure and high-throughput transcriptomics for mechanistically interpretable Tox21 bioactivity predictionGuillaume Cattebeke, Anne-Sofie Vermeersch, Davie Cappoen, et al.
Journal of Cheminformatics|May 26, 2026
Predicting fire consequences with the transformer model based on multimodal feature fusionYilin Wang, Beibei Wang, Xiaolu Wang, et al.
Journal of Cheminformatics|May 22, 2026
ExPO: an exposure-conditioned neural operator for L1000 signature predictionAustin Spadaro, Alok Sharma, Iman Dehzangi
Journal of Cheminformatics|May 30, 2026
Assessing the factors influencing the quality of pocket-conditioned 3D generative modelsKunyu Wang, Helen Lai, Ross Irwin, et al.
Journal of Cheminformatics|June 4, 2026
Accurate prediction of activity cliff compounds based on bioactivity profiles depends on assay nearest neighbor relationshipsRyuto Abe, Tomoyuki Miyao, Jürgen Bajorath
Journal of Cheminformatics|February 4, 2016
Fragmentation trees reloadedSebastian Böcker, Kai Dührkop
Journal of Cheminformatics|November 1, 2017
G.A.M.E.: GPU-accelerated mixture elucidatorAlioune Schurz, Bo-Han Su, Yi-Shu Tu, et al.
Journal of Cheminformatics|May 29, 2026
Efficient fine-tuning of vision-language adapters in chemical VLMs for molecular image-text tasksHyukjun Choi, Donghyeon Lee, Juyoung Kang
Journal of Cheminformatics|June 12, 2026
MutAIverse: an AI-powered, mechanism-backed platform for discovering novel DNA adducts and their precursor genotoxinsShiva Satija, Sanjay Kumar Mohanty, Sachin B Jorvekar, et al.
Journal of Cheminformatics|July 3, 2026
Computational design of low-volatility lubricants for space using interpretable machine learningDaniel Miliate, Ashlie Martini
Pageof 137