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Journal of cheminformatics

Showing results (1001-1010 of 1,363) with videos related to

Pageof 137
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Journal of Cheminformatics|June 4, 2026
Integrating multimodal features with deep learning for protein solubility predictionZechen Wang, Lai Heng Tan, Liangzhen Zheng, et al.
Journal of Cheminformatics|May 13, 2026
GRIPHIN: grids of pharmacophore interaction fields for affinity predictionDaniel Rose, Thomas Seidel, Thierry Langer
Journal of Cheminformatics|May 22, 2026
Lignonaut: designing diverse combinatorial libraries for the exploration and annotation of lignin oligomer spacesMynta Norberg, Margareta Sandahl, Peter Spégel
Journal of Cheminformatics|April 17, 2026
CheMLT-F: multitask learning in biochemistry through transformer fusionVladislav Mun, Siamac Fazli
Journal of Cheminformatics|May 5, 2026
A general-purpose framework for chemical reaction representation with atomic correspondence and flexible condition adaptationKaipeng Zeng, Xianbin Liu, Yu Zhang, et al.
Journal of Cheminformatics|May 15, 2026
PL-PatchSurfer3: improved structure-based virtual screening for structure variation using 3D Zernike descriptorsWoong-Hee Shin, Yuki Kagaya, Wonkyeong Jang, et al.
Journal of Cheminformatics|June 17, 2026
Learning a chemistry-aware latent space for molecular encoding and generation with a large-scale transformer variational autoencoderHugo Talibart, Dimitri Gilis
Journal of Cheminformatics|January 12, 2021
Industry-scale application and evaluation of deep learning for drug target predictionNoé Sturm, Andreas Mayr, Thanh Le Van, et al.
Journal of Cheminformatics|July 2, 2026
OpenStats: how to combine statistics and research data management (RDM) to leverage efficient scientific data analysis by guided statisticsKonrad Krämer, Pierre Tremouilhac, Fabian Mauz, et al.
Journal of Cheminformatics|July 7, 2026
ScrambleBench: a workflow for comparative assessment of structure-based de novo generative modelsVeincent Yap, Pan Xu, Frankie S Mak, et al.
Pageof 137

Showing results (1001-1010 of 1,363) with videos related to

Sort By:
Pageof 137
Journal of Cheminformatics|June 4, 2026
Integrating multimodal features with deep learning for protein solubility predictionZechen Wang, Lai Heng Tan, Liangzhen Zheng, et al.
Journal of Cheminformatics|May 13, 2026
GRIPHIN: grids of pharmacophore interaction fields for affinity predictionDaniel Rose, Thomas Seidel, Thierry Langer
Journal of Cheminformatics|May 22, 2026
Lignonaut: designing diverse combinatorial libraries for the exploration and annotation of lignin oligomer spacesMynta Norberg, Margareta Sandahl, Peter Spégel
Journal of Cheminformatics|April 17, 2026
CheMLT-F: multitask learning in biochemistry through transformer fusionVladislav Mun, Siamac Fazli
Journal of Cheminformatics|May 5, 2026
A general-purpose framework for chemical reaction representation with atomic correspondence and flexible condition adaptationKaipeng Zeng, Xianbin Liu, Yu Zhang, et al.
Journal of Cheminformatics|May 15, 2026
PL-PatchSurfer3: improved structure-based virtual screening for structure variation using 3D Zernike descriptorsWoong-Hee Shin, Yuki Kagaya, Wonkyeong Jang, et al.
Journal of Cheminformatics|June 17, 2026
Learning a chemistry-aware latent space for molecular encoding and generation with a large-scale transformer variational autoencoderHugo Talibart, Dimitri Gilis
Journal of Cheminformatics|January 12, 2021
Industry-scale application and evaluation of deep learning for drug target predictionNoé Sturm, Andreas Mayr, Thanh Le Van, et al.
Journal of Cheminformatics|July 2, 2026
OpenStats: how to combine statistics and research data management (RDM) to leverage efficient scientific data analysis by guided statisticsKonrad Krämer, Pierre Tremouilhac, Fabian Mauz, et al.
Journal of Cheminformatics|July 7, 2026
ScrambleBench: a workflow for comparative assessment of structure-based de novo generative modelsVeincent Yap, Pan Xu, Frankie S Mak, et al.
Pageof 137