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January 25, 2020
Charge and hydrophobicity are key features in sequence-trained machine learning models for predicting the biophysical properties of clinical-stage antibodies
Max Hebditch, Jim Warwicker
Bioinformatics (Oxford, England)
|
July 20, 2020
Protein-sol pKa: prediction of electrostatic frustration, with application to coronaviruses
Max Hebditch, Jim Warwicker
Scientific Reports
|
February 15, 2019
Web-based display of protein surface and pH-dependent properties for assessing the developability of biotherapeutics
Max Hebditch, Jim Warwicker
Computational and Structural Biotechnology Journal
|
April 24, 2020
Modelling of pH-dependence to develop a strategy for stabilising mAbs at acidic steps in production
Max Hebditch, Ryan Kean, Jim Warwicker
Scientific Reports
|
October 1, 2017
Sequence composition predicts immunoglobulin superfamily members that could share the intrinsically disordered properties of antibody CH1 domains
Max Hebditch, Robin Curtis, Jim Warwicker
Journal of Pharmaceutical Sciences
|
November 27, 2018
Models for Antibody Behavior in Hydrophobic Interaction Chromatography and in Self-Association
Max Hebditch, Aisling Roche, Robin A Curtis, et al.
Bioinformatics (Oxford, England)
|
June 3, 2017
Protein-Sol: a web tool for predicting protein solubility from sequence
Max Hebditch, M Alejandro Carballo-Amador, Spyros Charonis, et al.
Scientific Reports
|
May 12, 2021
PhosIDP: a web tool to visualize the location of phosphorylation sites in disordered regions
Sonia T Nicolaou, Max Hebditch, Owen J Jonathan, et al.
Chemical Communications (Cambridge, England)
|
September 14, 2013
Detection of salt bridges to lysines in solution in barnase
Mike P Williamson, Andrea M Hounslow, Joe Ford, et al.
ACS Omega
|
December 18, 2018
Self-Interaction of Human Serum Albumin: A Formulation Perspective
Pernille Sønderby, Jens T Bukrinski, Max Hebditch, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
Peerj
|
January 25, 2020
Charge and hydrophobicity are key features in sequence-trained machine learning models for predicting the biophysical properties of clinical-stage antibodies
Max Hebditch, Jim Warwicker
Bioinformatics (Oxford, England)
|
July 20, 2020
Protein-sol pKa: prediction of electrostatic frustration, with application to coronaviruses
Max Hebditch, Jim Warwicker
Scientific Reports
|
February 15, 2019
Web-based display of protein surface and pH-dependent properties for assessing the developability of biotherapeutics
Max Hebditch, Jim Warwicker
Computational and Structural Biotechnology Journal
|
April 24, 2020
Modelling of pH-dependence to develop a strategy for stabilising mAbs at acidic steps in production
Max Hebditch, Ryan Kean, Jim Warwicker
Scientific Reports
|
October 1, 2017
Sequence composition predicts immunoglobulin superfamily members that could share the intrinsically disordered properties of antibody CH1 domains
Max Hebditch, Robin Curtis, Jim Warwicker
Journal of Pharmaceutical Sciences
|
November 27, 2018
Models for Antibody Behavior in Hydrophobic Interaction Chromatography and in Self-Association
Max Hebditch, Aisling Roche, Robin A Curtis, et al.
Bioinformatics (Oxford, England)
|
June 3, 2017
Protein-Sol: a web tool for predicting protein solubility from sequence
Max Hebditch, M Alejandro Carballo-Amador, Spyros Charonis, et al.
Scientific Reports
|
May 12, 2021
PhosIDP: a web tool to visualize the location of phosphorylation sites in disordered regions
Sonia T Nicolaou, Max Hebditch, Owen J Jonathan, et al.
Chemical Communications (Cambridge, England)
|
September 14, 2013
Detection of salt bridges to lysines in solution in barnase
Mike P Williamson, Andrea M Hounslow, Joe Ford, et al.
ACS Omega
|
December 18, 2018
Self-Interaction of Human Serum Albumin: A Formulation Perspective
Pernille Sønderby, Jens T Bukrinski, Max Hebditch, et al.
Page
of 2