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Journal of Cheminformatics
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January 12, 2021
Quantitative prediction of selectivity between the A<sub>1</sub> and A<sub>2A</sub> adenosine receptors
Lindsey Burggraaff, Herman W T van Vlijmen, Adriaan P IJzerman, et al.
Angewandte Chemie (International Ed. in English)
|
August 6, 2019
Development of Ubiquitin-Based Probe for Metalloprotease Deubiquitinases
Dharjath S Hameed, Aysegul Sapmaz, Lindsey Burggraaff, et al.
Biochemical Pharmacology
|
July 13, 2020
Design and pharmacological profile of a novel covalent partial agonist for the adenosine A<sub>1</sub> receptor
Xue Yang, Majlen A Dilweg, Dion Osemwengie, et al.
Analytical and Bioanalytical Chemistry
|
August 13, 2017
Rapid screening and identification of ACE inhibitors in snake venoms using at-line nanofractionation LC-MS
Marija Mladic, Tessa de Waal, Lindsey Burggraaff, et al.
Journal of Chemical Information and Modeling
|
September 15, 2020
Annotation of Allosteric Compounds to Enhance Bioactivity Modeling for Class A GPCRs
Lindsey Burggraaff, Amber van Veen, Chi Chung Lam, et al.
Journal of Chemical Information and Modeling
|
March 1, 2019
Advances and Challenges in Computational Target Prediction
Dominique Sydow, Lindsey Burggraaff, Angelika Szengel, et al.
Journal of Cheminformatics
|
February 16, 2019
Identification of novel small molecule inhibitors for solute carrier SGLT1 using proteochemometric modeling
Lindsey Burggraaff, Paul Oranje, Robin Gouka, et al.
European Journal of Medicinal Chemistry
|
April 29, 2021
Synthesis and SAR evaluation of coumarin derivatives as potent cannabinoid receptor agonists
Florian Mohr, Thomas Hurrle, Lindsey Burggraaff, et al.
Journal of Cheminformatics
|
January 12, 2021
A multiple classifier system identifies novel cannabinoid CB2 receptor ligands
David Ruano-Ordás, Lindsey Burggraaff, Rongfang Liu, et al.
Journal of Chemical Information and Modeling
|
April 29, 2020
Successive Statistical and Structure-Based Modeling to Identify Chemically Novel Kinase Inhibitors
Lindsey Burggraaff, Eelke B Lenselink, Willem Jespers, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 14) with videos related to
Sort By:
Page
of 2
Journal of Cheminformatics
|
January 12, 2021
Quantitative prediction of selectivity between the A<sub>1</sub> and A<sub>2A</sub> adenosine receptors
Lindsey Burggraaff, Herman W T van Vlijmen, Adriaan P IJzerman, et al.
Angewandte Chemie (International Ed. in English)
|
August 6, 2019
Development of Ubiquitin-Based Probe for Metalloprotease Deubiquitinases
Dharjath S Hameed, Aysegul Sapmaz, Lindsey Burggraaff, et al.
Biochemical Pharmacology
|
July 13, 2020
Design and pharmacological profile of a novel covalent partial agonist for the adenosine A<sub>1</sub> receptor
Xue Yang, Majlen A Dilweg, Dion Osemwengie, et al.
Analytical and Bioanalytical Chemistry
|
August 13, 2017
Rapid screening and identification of ACE inhibitors in snake venoms using at-line nanofractionation LC-MS
Marija Mladic, Tessa de Waal, Lindsey Burggraaff, et al.
Journal of Chemical Information and Modeling
|
September 15, 2020
Annotation of Allosteric Compounds to Enhance Bioactivity Modeling for Class A GPCRs
Lindsey Burggraaff, Amber van Veen, Chi Chung Lam, et al.
Journal of Chemical Information and Modeling
|
March 1, 2019
Advances and Challenges in Computational Target Prediction
Dominique Sydow, Lindsey Burggraaff, Angelika Szengel, et al.
Journal of Cheminformatics
|
February 16, 2019
Identification of novel small molecule inhibitors for solute carrier SGLT1 using proteochemometric modeling
Lindsey Burggraaff, Paul Oranje, Robin Gouka, et al.
European Journal of Medicinal Chemistry
|
April 29, 2021
Synthesis and SAR evaluation of coumarin derivatives as potent cannabinoid receptor agonists
Florian Mohr, Thomas Hurrle, Lindsey Burggraaff, et al.
Journal of Cheminformatics
|
January 12, 2021
A multiple classifier system identifies novel cannabinoid CB2 receptor ligands
David Ruano-Ordás, Lindsey Burggraaff, Rongfang Liu, et al.
Journal of Chemical Information and Modeling
|
April 29, 2020
Successive Statistical and Structure-Based Modeling to Identify Chemically Novel Kinase Inhibitors
Lindsey Burggraaff, Eelke B Lenselink, Willem Jespers, et al.
Page
of 2