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Drug Discovery Today
|
March 30, 2016
Translatability: what does it mean in drug discovery?
Matthew Tudor, Jeffery Hermes, Jing Li
Drug Discovery Today. Technologies
|
June 26, 2017
Deorphanization strategies for dark chemical matter
Anne Mai Wassermann, Matthew Tudor, Meir Glick
Future Medicinal Chemistry
|
October 30, 2020
Deep learning approaches in predicting ADMET properties
Elena L Cáceres, Matthew Tudor, Alan C Cheng
Methods in Molecular Biology (Clifton, N.J.)
|
April 20, 2018
Endogenous Locus Reporter Assays
Yaping Liu, Jeffrey Hermes, Jing Li, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
April 20, 2018
High-Content Reporter Assays
Erica Cook, Jeffrey Hermes, Jing Li, et al.
Journal of Chemical Information and Modeling
|
October 6, 2020
Nearest Neighbor Gaussian Process for Quantitative Structure-Activity Relationships
Anthony DiFranzo, Robert P Sheridan, Andy Liaw, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
November 15, 2002
Transcriptional profiling of a mouse model for Rett syndrome reveals subtle transcriptional changes in the brain
Matthew Tudor, Schahram Akbarian, Richard Z Chen, et al.
Journal of Chemical Information and Modeling
|
July 7, 2022
Prediction Accuracy of Production ADMET Models as a Function of Version: Activity Cliffs Rule
Robert P Sheridan, J Chris Culberson, Elizabeth Joshi, et al.
Plos Computational Biology
|
February 10, 2017
Representing high throughput expression profiles via perturbation barcodes reveals compound targets
Tracey M Filzen, Peter S Kutchukian, Jeffrey D Hermes, et al.
Journal of Chemical Information and Modeling
|
July 11, 2017
Is Multitask Deep Learning Practical for Pharma?
Bharath Ramsundar, Bowen Liu, Zhenqin Wu, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 24) with videos related to
Sort By:
Page
of 3
Drug Discovery Today
|
March 30, 2016
Translatability: what does it mean in drug discovery?
Matthew Tudor, Jeffery Hermes, Jing Li
Drug Discovery Today. Technologies
|
June 26, 2017
Deorphanization strategies for dark chemical matter
Anne Mai Wassermann, Matthew Tudor, Meir Glick
Future Medicinal Chemistry
|
October 30, 2020
Deep learning approaches in predicting ADMET properties
Elena L Cáceres, Matthew Tudor, Alan C Cheng
Methods in Molecular Biology (Clifton, N.J.)
|
April 20, 2018
Endogenous Locus Reporter Assays
Yaping Liu, Jeffrey Hermes, Jing Li, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
April 20, 2018
High-Content Reporter Assays
Erica Cook, Jeffrey Hermes, Jing Li, et al.
Journal of Chemical Information and Modeling
|
October 6, 2020
Nearest Neighbor Gaussian Process for Quantitative Structure-Activity Relationships
Anthony DiFranzo, Robert P Sheridan, Andy Liaw, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
November 15, 2002
Transcriptional profiling of a mouse model for Rett syndrome reveals subtle transcriptional changes in the brain
Matthew Tudor, Schahram Akbarian, Richard Z Chen, et al.
Journal of Chemical Information and Modeling
|
July 7, 2022
Prediction Accuracy of Production ADMET Models as a Function of Version: Activity Cliffs Rule
Robert P Sheridan, J Chris Culberson, Elizabeth Joshi, et al.
Plos Computational Biology
|
February 10, 2017
Representing high throughput expression profiles via perturbation barcodes reveals compound targets
Tracey M Filzen, Peter S Kutchukian, Jeffrey D Hermes, et al.
Journal of Chemical Information and Modeling
|
July 11, 2017
Is Multitask Deep Learning Practical for Pharma?
Bharath Ramsundar, Bowen Liu, Zhenqin Wu, et al.
Page
of 3