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Chemistry & Biodiversity
|
November 26, 2009
Beyond profiling: using ADMET models to guide decisions
Matthew Segall, Edmund Champness, Olga Obrezanova, et al.
Journal of Chemical Information and Modeling
|
October 11, 2011
Applying medicinal chemistry transformations and multiparameter optimization to guide the search for high-quality leads and candidates
Matthew Segall, Ed Champness, Chris Leeding, et al.
The Journal of Physical Chemistry. A
|
November 21, 2007
Theoretical investigations of oxygen-17 NMR chemical shifts to discriminate among helical forms
Itzam De Gortari, Marcelo Galván, Joel Ireta, et al.
Journal of Chemical Information and Modeling
|
May 2, 2020
Predicting p<i>K</i><sub>a</sub> Using a Combination of Semi-Empirical Quantum Mechanics and Radial Basis Function Methods
Peter Hunt, Layla Hosseini-Gerami, Tomas Chrien, et al.
Drug Discovery Today
|
June 9, 2015
Breaking free from chemical spreadsheets
Matthew Segall, Ed Champness, Chris Leeding, et al.
Journal of Computer-Aided Molecular Design
|
October 30, 2021
Imputation of sensory properties using deep learning
Samar Mahmoud, Benedict Irwin, Dmitriy Chekmarev, et al.
Molecular Pharmaceutics
|
April 12, 2022
Prediction of In Vivo Pharmacokinetic Parameters and Time-Exposure Curves in Rats Using Machine Learning from the Chemical Structure
Olga Obrezanova, Anton Martinsson, Tom Whitehead, et al.
Drug Metabolism Reviews
|
May 28, 2020
Advances in the study of drug metabolism - symposium report of the 12th Meeting of the International Society for the Study of Xenobiotics (ISSX)
Laura E Russell, Mary Alexandra Schleiff, Eric Gonzalez, et al.
Archives of Toxicology
|
August 31, 2017
A model-based assay design to reproduce in vivo patterns of acute drug-induced toxicity
Lars Kuepfer, Olivia Clayton, Christoph Thiel, et al.
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of 2
Search research articles
Search
Showing results (11-20 of 19) with videos related to
Sort By:
Page
of 2
You have reached the last page of results.
This site can display upto 19 results.
Chemistry & Biodiversity
|
November 26, 2009
Beyond profiling: using ADMET models to guide decisions
Matthew Segall, Edmund Champness, Olga Obrezanova, et al.
Journal of Chemical Information and Modeling
|
October 11, 2011
Applying medicinal chemistry transformations and multiparameter optimization to guide the search for high-quality leads and candidates
Matthew Segall, Ed Champness, Chris Leeding, et al.
The Journal of Physical Chemistry. A
|
November 21, 2007
Theoretical investigations of oxygen-17 NMR chemical shifts to discriminate among helical forms
Itzam De Gortari, Marcelo Galván, Joel Ireta, et al.
Journal of Chemical Information and Modeling
|
May 2, 2020
Predicting p<i>K</i><sub>a</sub> Using a Combination of Semi-Empirical Quantum Mechanics and Radial Basis Function Methods
Peter Hunt, Layla Hosseini-Gerami, Tomas Chrien, et al.
Drug Discovery Today
|
June 9, 2015
Breaking free from chemical spreadsheets
Matthew Segall, Ed Champness, Chris Leeding, et al.
Journal of Computer-Aided Molecular Design
|
October 30, 2021
Imputation of sensory properties using deep learning
Samar Mahmoud, Benedict Irwin, Dmitriy Chekmarev, et al.
Molecular Pharmaceutics
|
April 12, 2022
Prediction of In Vivo Pharmacokinetic Parameters and Time-Exposure Curves in Rats Using Machine Learning from the Chemical Structure
Olga Obrezanova, Anton Martinsson, Tom Whitehead, et al.
Drug Metabolism Reviews
|
May 28, 2020
Advances in the study of drug metabolism - symposium report of the 12th Meeting of the International Society for the Study of Xenobiotics (ISSX)
Laura E Russell, Mary Alexandra Schleiff, Eric Gonzalez, et al.
Archives of Toxicology
|
August 31, 2017
A model-based assay design to reproduce in vivo patterns of acute drug-induced toxicity
Lars Kuepfer, Olivia Clayton, Christoph Thiel, et al.
Page
of 2