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Journal of cheminformatics

Showing results (201-210 of 1,439) with videos related to

Pageof 144
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Journal of Cheminformatics|August 24, 2018
Machine learning for the prediction of molecular dipole moments obtained by density functional theoryFlorbela Pereira, João Aires-de-Sousa
Journal of Cheminformatics|June 27, 2018
Inferring potential small molecule-miRNA association based on triple layer heterogeneous networkJia Qu, Xing Chen, Ya-Zhou Sun, et al.
Journal of Cheminformatics|October 13, 2018
A new chemoinformatics approach with improved strategies for effective predictions of potential drugsMing Hao, Stephen H Bryant, Yanli Wang
Journal of Cheminformatics|June 26, 2019
Cheminformatics approach to exploring and modeling trait-associated metabolite profilesJeremy R Ash, Melaine A Kuenemann, Daniel Rotroff, et al.
Journal of Cheminformatics|September 29, 2021
FP-ADMET: a compendium of fingerprint-based ADMET prediction modelsVishwesh Venkatraman
Journal of Cheminformatics|March 16, 2022
ELECTRA-DTA: a new compound-protein binding affinity prediction model based on the contextualized sequence encodingJunjie Wang, NaiFeng Wen, Chunyu Wang, et al.
Journal of Cheminformatics|March 8, 2022
MolData, a molecular benchmark for disease and target based machine learningArash Keshavarzi Arshadi, Milad Salem, Arash Firouzbakht, et al.
Journal of Cheminformatics|March 29, 2022
Transformer-based molecular optimization beyond matched molecular pairsJiazhen He, Eva Nittinger, Christian Tyrchan, et al.
Journal of Cheminformatics|September 23, 2021
DTi2Vec: Drug-target interaction prediction using network embedding and ensemble learningMaha A Thafar, Rawan S Olayan, Somayah Albaradei, et al.
Journal of Cheminformatics|September 20, 2018
Exploring non-linear distance metrics in the structure-activity space: QSAR models for human estrogen receptorIlya A Balabin, Richard S Judson
Pageof 144

Showing results (201-210 of 1,439) with videos related to

Sort By:
Pageof 144
Journal of Cheminformatics|August 24, 2018
Machine learning for the prediction of molecular dipole moments obtained by density functional theoryFlorbela Pereira, João Aires-de-Sousa
Journal of Cheminformatics|June 27, 2018
Inferring potential small molecule-miRNA association based on triple layer heterogeneous networkJia Qu, Xing Chen, Ya-Zhou Sun, et al.
Journal of Cheminformatics|October 13, 2018
A new chemoinformatics approach with improved strategies for effective predictions of potential drugsMing Hao, Stephen H Bryant, Yanli Wang
Journal of Cheminformatics|June 26, 2019
Cheminformatics approach to exploring and modeling trait-associated metabolite profilesJeremy R Ash, Melaine A Kuenemann, Daniel Rotroff, et al.
Journal of Cheminformatics|September 29, 2021
FP-ADMET: a compendium of fingerprint-based ADMET prediction modelsVishwesh Venkatraman
Journal of Cheminformatics|March 16, 2022
ELECTRA-DTA: a new compound-protein binding affinity prediction model based on the contextualized sequence encodingJunjie Wang, NaiFeng Wen, Chunyu Wang, et al.
Journal of Cheminformatics|March 8, 2022
MolData, a molecular benchmark for disease and target based machine learningArash Keshavarzi Arshadi, Milad Salem, Arash Firouzbakht, et al.
Journal of Cheminformatics|March 29, 2022
Transformer-based molecular optimization beyond matched molecular pairsJiazhen He, Eva Nittinger, Christian Tyrchan, et al.
Journal of Cheminformatics|September 23, 2021
DTi2Vec: Drug-target interaction prediction using network embedding and ensemble learningMaha A Thafar, Rawan S Olayan, Somayah Albaradei, et al.
Journal of Cheminformatics|September 20, 2018
Exploring non-linear distance metrics in the structure-activity space: QSAR models for human estrogen receptorIlya A Balabin, Richard S Judson
Pageof 144