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Journal of Medicinal Chemistry
|
December 12, 2024
Toward Dose Prediction at Point of Design
Dries Van Rompaey, Siladitya Ray Chaudhuri, Mazen Ahmad, et al.
Molecular Informatics
|
November 2, 2021
Atom-to-atom Mapping: A Benchmarking Study of Popular Mapping Algorithms and Consensus Strategies
Arkadii Lin, Natalia Dyubankova, Timur I Madzhidov, et al.
Cell Chemical Biology
|
March 6, 2018
Repurposing High-Throughput Image Assays Enables Biological Activity Prediction for Drug Discovery
Jaak Simm, Günter Klambauer, Adam Arany, et al.
Chemical Research in Toxicology
|
June 16, 2023
Leveraging Cell Painting Images to Expand the Applicability Domain and Actively Improve Deep Learning Quantitative Structure-Activity Relationship Models
Dorota Herman, Maciej M Kańduła, Lorena G A Freitas, et al.
Journal of Cheminformatics
|
January 12, 2021
Industry-scale application and evaluation of deep learning for drug target prediction
Noé Sturm, Andreas Mayr, Thanh Le Van, et al.
Scientific Reports
|
August 9, 2020
Tales of 1,008 small molecules: phenomic profiling through live-cell imaging in a panel of reporter cell lines
Michael J Cox, Steffen Jaensch, Jelle Van de Waeter, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology
|
December 12, 2018
High-Parameter Mass Cytometry Evaluation of Relapsed/Refractory Multiple Myeloma Patients Treated with Daratumumab Demonstrates Immune Modulation as a Novel Mechanism of Action
Homer C Adams, Frederik Stevenaert, Jakub Krejcik, et al.
Leukemia
|
May 28, 2020
Deep immune profiling of patients treated with lenalidomide and dexamethasone with or without daratumumab
Tineke Casneuf, Homer C Adams, Niels W C J van de Donk, et al.
Journal of Chemical Information and Modeling
|
August 29, 2023
MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information
Wouter Heyndrickx, Lewis Mervin, Tobias Morawietz, et al.
Page
of 5
Search research articles
Search
Showing results (41-50 of 49) with videos related to
Sort By:
Page
of 5
You have reached the last page of results.
This site can display upto 49 results.
Journal of Medicinal Chemistry
|
December 12, 2024
Toward Dose Prediction at Point of Design
Dries Van Rompaey, Siladitya Ray Chaudhuri, Mazen Ahmad, et al.
Molecular Informatics
|
November 2, 2021
Atom-to-atom Mapping: A Benchmarking Study of Popular Mapping Algorithms and Consensus Strategies
Arkadii Lin, Natalia Dyubankova, Timur I Madzhidov, et al.
Cell Chemical Biology
|
March 6, 2018
Repurposing High-Throughput Image Assays Enables Biological Activity Prediction for Drug Discovery
Jaak Simm, Günter Klambauer, Adam Arany, et al.
Chemical Research in Toxicology
|
June 16, 2023
Leveraging Cell Painting Images to Expand the Applicability Domain and Actively Improve Deep Learning Quantitative Structure-Activity Relationship Models
Dorota Herman, Maciej M Kańduła, Lorena G A Freitas, et al.
Journal of Cheminformatics
|
January 12, 2021
Industry-scale application and evaluation of deep learning for drug target prediction
Noé Sturm, Andreas Mayr, Thanh Le Van, et al.
Scientific Reports
|
August 9, 2020
Tales of 1,008 small molecules: phenomic profiling through live-cell imaging in a panel of reporter cell lines
Michael J Cox, Steffen Jaensch, Jelle Van de Waeter, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology
|
December 12, 2018
High-Parameter Mass Cytometry Evaluation of Relapsed/Refractory Multiple Myeloma Patients Treated with Daratumumab Demonstrates Immune Modulation as a Novel Mechanism of Action
Homer C Adams, Frederik Stevenaert, Jakub Krejcik, et al.
Leukemia
|
May 28, 2020
Deep immune profiling of patients treated with lenalidomide and dexamethasone with or without daratumumab
Tineke Casneuf, Homer C Adams, Niels W C J van de Donk, et al.
Journal of Chemical Information and Modeling
|
August 29, 2023
MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information
Wouter Heyndrickx, Lewis Mervin, Tobias Morawietz, et al.
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