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Journal of Synchrotron Radiation
|
April 29, 2011
Assessment of radiation damage behaviour in a large collection of empirically optimized datasets highlights the importance of unmeasured complicating effects
Tobias Krojer, Frank von Delft
Acta Crystallographica. Section D, Biological Crystallography
|
August 8, 2015
Defined PEG smears as an alternative approach to enhance the search for crystallization conditions and crystal-quality improvement in reduced screens
Apirat Chaikuad, Stefan Knapp, Frank von Delft
Journal of Molecular Biology
|
August 25, 2012
Structural basis for ASPP2 recognition by the tumor suppressor p73
Peter Canning, Frank von Delft, Alex N Bullock
Acta Crystallographica. Section D, Structural Biology
|
March 15, 2017
Proper modelling of ligand binding requires an ensemble of bound and unbound states
Nicholas M Pearce, Tobias Krojer, Frank von Delft
Plos One
|
March 19, 2013
Crystal structures of the catalytic domain of human soluble guanylate cyclase
Charles K Allerston, Frank von Delft, Opher Gileadi
Current Opinion in Structural Biology
|
November 10, 2020
Discovery of allosteric binding sites by crystallographic fragment screening
Tobias Krojer, James S Fraser, Frank von Delft
Angewandte Chemie (International Ed. in English)
|
March 15, 2019
Targeting the Small GTPase Superfamily through Their Regulatory Proteins
Janine L Gray, Frank von Delft, Paul E Brennan
Acta Crystallographica. Section D, Biological Crystallography
|
June 25, 2013
Squeezing the most from every crystal: the fine details of data collection
Tobias Krojer, Ashley C W Pike, Frank von Delft
Scientific Reports
|
December 5, 2019
Structural consequences of BMPR2 kinase domain mutations causing pulmonary arterial hypertension
Apirat Chaikuad, Chancievan Thangaratnarajah, Frank von Delft, et al.
Journal of Chemical Information and Modeling
|
July 24, 2020
Data Set Augmentation Allows Deep Learning-Based Virtual Screening to Better Generalize to Unseen Target Classes and Highlight Important Binding Interactions
Jack Scantlebury, Nathan Brown, Frank Von Delft, et al.
Page
of 17
Search research articles
Search
Showing results (1-10 of 170) with videos related to
Sort By:
Page
of 17
Journal of Synchrotron Radiation
|
April 29, 2011
Assessment of radiation damage behaviour in a large collection of empirically optimized datasets highlights the importance of unmeasured complicating effects
Tobias Krojer, Frank von Delft
Acta Crystallographica. Section D, Biological Crystallography
|
August 8, 2015
Defined PEG smears as an alternative approach to enhance the search for crystallization conditions and crystal-quality improvement in reduced screens
Apirat Chaikuad, Stefan Knapp, Frank von Delft
Journal of Molecular Biology
|
August 25, 2012
Structural basis for ASPP2 recognition by the tumor suppressor p73
Peter Canning, Frank von Delft, Alex N Bullock
Acta Crystallographica. Section D, Structural Biology
|
March 15, 2017
Proper modelling of ligand binding requires an ensemble of bound and unbound states
Nicholas M Pearce, Tobias Krojer, Frank von Delft
Plos One
|
March 19, 2013
Crystal structures of the catalytic domain of human soluble guanylate cyclase
Charles K Allerston, Frank von Delft, Opher Gileadi
Current Opinion in Structural Biology
|
November 10, 2020
Discovery of allosteric binding sites by crystallographic fragment screening
Tobias Krojer, James S Fraser, Frank von Delft
Angewandte Chemie (International Ed. in English)
|
March 15, 2019
Targeting the Small GTPase Superfamily through Their Regulatory Proteins
Janine L Gray, Frank von Delft, Paul E Brennan
Acta Crystallographica. Section D, Biological Crystallography
|
June 25, 2013
Squeezing the most from every crystal: the fine details of data collection
Tobias Krojer, Ashley C W Pike, Frank von Delft
Scientific Reports
|
December 5, 2019
Structural consequences of BMPR2 kinase domain mutations causing pulmonary arterial hypertension
Apirat Chaikuad, Chancievan Thangaratnarajah, Frank von Delft, et al.
Journal of Chemical Information and Modeling
|
July 24, 2020
Data Set Augmentation Allows Deep Learning-Based Virtual Screening to Better Generalize to Unseen Target Classes and Highlight Important Binding Interactions
Jack Scantlebury, Nathan Brown, Frank Von Delft, et al.
Page
of 17