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Max Hebditch
Max Hebditch
Previously Postdoctoral Research Associate, University of Manchester
Verified email at manchester.ac.uk
Title
Cited by
Cited by
Year
Protein–Sol: a web tool for predicting protein solubility from sequence
M Hebditch, MA Carballo-Amador, S Charonis, R Curtis, J Warwicker
Bioinformatics 33 (19), 3098-3100, 2017
4552017
Web-based display of protein surface and pH-dependent properties for assessing the developability of biotherapeutics
M Hebditch, J Warwicker
Scientific reports 9 (1), 1969, 2019
782019
Charge and hydrophobicity are key features in sequence-trained machine learning models for predicting the biophysical properties of clinical-stage antibodies
M Hebditch, J Warwicker
PeerJ 7, e8199, 2019
342019
Coarse-grained modeling of antibodies from small-angle scattering profiles
D Corbett, M Hebditch, R Keeling, P Ke, S Ekizoglou, P Sarangapani, ...
The Journal of Physical Chemistry B 121 (35), 8276-8290, 2017
342017
Self-interaction of human serum albumin: a formulation perspective
P Sønderby, JT Bukrinski, M Hebditch, GHJ Peters, RA Curtis, P Harris
Acs Omega 3 (11), 16105-16117, 2018
292018
Models for antibody behavior in hydrophobic interaction chromatography and in self-association
M Hebditch, A Roche, RA Curtis, J Warwicker
Journal of pharmaceutical sciences 108 (4), 1434-1441, 2019
232019
Detection of salt bridges to lysines in solution in barnase
M Williamson, A Hounslow, J Ford, K Fowler, M Hebditch, P Erik Hansen
Chemical Communications, 2013
202013
The use of antibodies in small-molecule drug discovery
CJ Marsden, S Eckersley, M Hebditch, AJ Kvist, R Milner, D Mitchell, ...
Journal of biomolecular screening 19 (6), 829-838, 2014
142014
Modelling of pH-dependence to develop a strategy for stabilising mAbs at acidic steps in production
M Hebditch, R Kean, J Warwicker
Computational and structural biotechnology journal 18, 897-905, 2020
102020
PhosIDP: a web tool to visualize the location of phosphorylation sites in disordered regions
ST Nicolaou, M Hebditch, OJ Jonathan, CS Verma, J Warwicker
Scientific Reports 11 (1), 9930, 2021
62021
Sequence composition predicts immunoglobulin superfamily members that could share the intrinsically disordered properties of antibody CH1 domains
M Hebditch, R Curtis, J Warwicker
Scientific Reports 7 (1), 12404, 2017
62017
protein-sol pKa: prediction of electrostatic frustration, with application to coronaviruses
M Hebditch, J Warwicker
Bioinformatics 36 (20), 5112-5114, 2020
52020
protein-sol pKa: prediction of electrostatic frustration, with application to coronaviruses (preprint)
M Hebditch, J Warwicker
2020
Computational Modelling Approaches for Studying Protein-Protein and Protein-Solvent Interactions in Biopharmaceuticals
M Hebditch
PQDT-Global, 2018
2018
Achieving ultra high antibody concentrations
P Davis, M Hussain, A Lanzaro, T Jowitt, D Corbett, S Tan, M Hebditch, ...
253rd National Meeting of the American Chemical Society on Advanced …, 2017
2017
Structure of concentrated antibody solutions in the presence of weak self-association
D Corbett, C Avendano, M Hebditch, C van der Walle, S Uddin, R Curtis
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 253, 2017
2017
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