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Journal of Chemical Information and Computer Sciences
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October 16, 2002
High-throughput, in silico prediction of aqueous solubility based on one- and two-dimensional descriptors
Ola Engkvist, Paul Wrede
Trends in Pharmacological Sciences
|
October 21, 2019
Has Drug Design Augmented by Artificial Intelligence Become a Reality?
Hongming Chen, Ola Engkvist
Journal of Cheminformatics
|
December 19, 2020
From Big Data to Artificial Intelligence: chemoinformatics meets new challenges
Igor V Tetko, Ola Engkvist
Journal of Chemical Information and Computer Sciences
|
January 28, 2003
Prediction of CNS activity of compound libraries using substructure analysis
Ola Engkvist, Paul Wrede, Ulrich Rester
Methods in Molecular Biology (Clifton, N.J.)
|
November 3, 2021
Has Artificial Intelligence Impacted Drug Discovery?
Atanas Patronov, Kostas Papadopoulos, Ola Engkvist
Molecular Informatics
|
August 2, 2016
An Investigation of the Relationship Between Molecular Topology and CYP3A4 Inhibition for Drug-like Compounds
Rurika Oka, Ola Engkvist, Hongming Chen
Journal of Chemical Information and Modeling
|
August 3, 2021
Clustering of Synthetic Routes Using Tree Edit Distance
Samuel Genheden, Ola Engkvist, Esben Bjerrum
Molecular Informatics
|
May 19, 2018
Cheminformatics in Drug Discovery, an Industrial Perspective
Hongming Chen, Thierry Kogej, Ola Engkvist
Journal of Chemical Information and Modeling
|
November 17, 2010
Molecular topology analysis of the differences between drugs, clinical candidate compounds, and bioactive molecules
Hongming Chen, Yidong Yang, Ola Engkvist
Methods in Molecular Biology (Clifton, N.J.)
|
October 29, 2010
Combinatorial library design from reagent pharmacophore fingerprints
Hongming Chen, Ola Engkvist, Niklas Blomberg
Page
of 14
Search research articles
Search
Showing results (1-10 of 135) with videos related to
Sort By:
Page
of 14
Journal of Chemical Information and Computer Sciences
|
October 16, 2002
High-throughput, in silico prediction of aqueous solubility based on one- and two-dimensional descriptors
Ola Engkvist, Paul Wrede
Trends in Pharmacological Sciences
|
October 21, 2019
Has Drug Design Augmented by Artificial Intelligence Become a Reality?
Hongming Chen, Ola Engkvist
Journal of Cheminformatics
|
December 19, 2020
From Big Data to Artificial Intelligence: chemoinformatics meets new challenges
Igor V Tetko, Ola Engkvist
Journal of Chemical Information and Computer Sciences
|
January 28, 2003
Prediction of CNS activity of compound libraries using substructure analysis
Ola Engkvist, Paul Wrede, Ulrich Rester
Methods in Molecular Biology (Clifton, N.J.)
|
November 3, 2021
Has Artificial Intelligence Impacted Drug Discovery?
Atanas Patronov, Kostas Papadopoulos, Ola Engkvist
Molecular Informatics
|
August 2, 2016
An Investigation of the Relationship Between Molecular Topology and CYP3A4 Inhibition for Drug-like Compounds
Rurika Oka, Ola Engkvist, Hongming Chen
Journal of Chemical Information and Modeling
|
August 3, 2021
Clustering of Synthetic Routes Using Tree Edit Distance
Samuel Genheden, Ola Engkvist, Esben Bjerrum
Molecular Informatics
|
May 19, 2018
Cheminformatics in Drug Discovery, an Industrial Perspective
Hongming Chen, Thierry Kogej, Ola Engkvist
Journal of Chemical Information and Modeling
|
November 17, 2010
Molecular topology analysis of the differences between drugs, clinical candidate compounds, and bioactive molecules
Hongming Chen, Yidong Yang, Ola Engkvist
Methods in Molecular Biology (Clifton, N.J.)
|
October 29, 2010
Combinatorial library design from reagent pharmacophore fingerprints
Hongming Chen, Ola Engkvist, Niklas Blomberg
Page
of 14