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Current Pharmaceutical Design
|
February 10, 2012
Multi-parameter optimization: identifying high quality compounds with a balance of properties
Matthew D Segall
Journal of Chemical Information and Modeling
|
May 4, 2010
Gaussian processes for classification: QSAR modeling of ADMET and target activity
Olga Obrezanova, Matthew D Segall
Drug Discovery Today
|
January 24, 2014
Addressing toxicity risk when designing and selecting compounds in early drug discovery
Matthew D Segall, Chris Barber
Drug Discovery Today
|
March 6, 2013
Considering the impact drug-like properties have on the chance of success
Iskander Yusof, Matthew D Segall
Drug Discovery Today
|
June 18, 2010
Overcoming psychological barriers to good discovery decisions
Andrew T Chadwick, Matthew D Segall
Journal of Computer-Aided Molecular Design
|
July 2, 2015
The challenges of making decisions using uncertain data
Matthew D Segall, Edmund J Champness
Drug Discovery Today
|
June 6, 2002
Predicting ADME properties in silico: methods and models
Darko Butina, Matthew D Segall, Katrina Frankcombe
Journal of Medicinal Chemistry
|
February 23, 2016
Avoiding Missed Opportunities by Analyzing the Sensitivity of Our Decisions
Matthew D Segall, Iskander Yusof, Edmund J Champness
Journal of Chemical Theory and Computation
|
December 18, 2023
Transferable Machine Learning Interatomic Potential for Bond Dissociation Energy Prediction of Drug-like Molecules
Elena Gelžinytė, Mario Öeren, Matthew D Segall, et al.
Future Medicinal Chemistry
|
March 22, 2014
Alternative variables in drug discovery: promises and challenges
Cele Abad-Zapatero, Edmund J Champness, Matthew D Segall
Page
of 3
Search research articles
Search
Showing results (1-10 of 24) with videos related to
Sort By:
Page
of 3
Current Pharmaceutical Design
|
February 10, 2012
Multi-parameter optimization: identifying high quality compounds with a balance of properties
Matthew D Segall
Journal of Chemical Information and Modeling
|
May 4, 2010
Gaussian processes for classification: QSAR modeling of ADMET and target activity
Olga Obrezanova, Matthew D Segall
Drug Discovery Today
|
January 24, 2014
Addressing toxicity risk when designing and selecting compounds in early drug discovery
Matthew D Segall, Chris Barber
Drug Discovery Today
|
March 6, 2013
Considering the impact drug-like properties have on the chance of success
Iskander Yusof, Matthew D Segall
Drug Discovery Today
|
June 18, 2010
Overcoming psychological barriers to good discovery decisions
Andrew T Chadwick, Matthew D Segall
Journal of Computer-Aided Molecular Design
|
July 2, 2015
The challenges of making decisions using uncertain data
Matthew D Segall, Edmund J Champness
Drug Discovery Today
|
June 6, 2002
Predicting ADME properties in silico: methods and models
Darko Butina, Matthew D Segall, Katrina Frankcombe
Journal of Medicinal Chemistry
|
February 23, 2016
Avoiding Missed Opportunities by Analyzing the Sensitivity of Our Decisions
Matthew D Segall, Iskander Yusof, Edmund J Champness
Journal of Chemical Theory and Computation
|
December 18, 2023
Transferable Machine Learning Interatomic Potential for Bond Dissociation Energy Prediction of Drug-like Molecules
Elena Gelžinytė, Mario Öeren, Matthew D Segall, et al.
Future Medicinal Chemistry
|
March 22, 2014
Alternative variables in drug discovery: promises and challenges
Cele Abad-Zapatero, Edmund J Champness, Matthew D Segall
Page
of 3