Max Hebditch
Google Scholar

I am a bioinformatician with 5+ years experience having authored 10 publications, with 6 first author papers, published in journals including Bioinformatics and Scientific Reports. Currently I work as post doctoral research associate in computational chemistry with a specific interest in the sequence and structural properties of proteins. Currently I work as a post doctoral researcher in theoretical and computational chemistry in the Warwicker group, at the University of Manchester. My research focuses on predicting and understanding protein behaviour in solution, using bioinformatics, theoretical, data-mining and machine learning techniques, and how we can apply these biophysical insights into improving the developability of biopharmaceuticals.

I am also the lead developer of the protein-sol web server for predicting protein solubility, calculating surface properties, and predicting fold stability under a range of ionic strength and pH conditions. Our aim is to make our in-house machine learning, modelling and theoretic software publicly, and freely, available.

The title of my PhD was Computational modelling approaches for studying protein-protein and protein-solvent interactions in biopharmaceuticals, and was supervised by Robin Curtis in the School of Chemical Engineering and Analytical Science at the University of Manchester. During my PhD, I visited Mikael Lund at Lund University to develop Metropolis Monte Carlo simulations of proteins in solution.

I completed an integrated 4 years Master's degree (1st class) in Biochemistry at the University of Sheffield and spent a year on placement in the Antibody Generation Group at AstraZeneca UK. During my undergraduate degree, I was a Wellcome trust biomedical science vacation scholar studying the role of lncRNAs in bladder cancer in the Department of Oncology and Metabolism.

A copy of my C.V is available here.


Hebditch M and Warwicker J.
Charge and hydrophobicity are key features in sequence-trained machine learning models for predicting the biophysical properties of clinical-stage antibodies
Preprint 2019

Hebditch M, Kean R and Warwicker J.
Modelling of pH-dependence to develop a strategy for stabilising mAbs at acidic steps in production
Preprint 2019

Hebditch M and Warwicker J.
Web-based display of protein surface and pH-dependent properties for assessing the developability of biotherapeutics
Scientific Reports 2019

Hebditch M, Roche A, Curtis R, Warwicker J.
Models for antibody behaviour in hydrophobic interaction chromatography, and in self-association.
Journal of Pharmaceutical Sciences 2018

S√łnderby P, Bukrinski JT, Hebditch M, Peters GHJ, Curtis R, Harris P
Self-Interaction of Human Serum Albumin: A Formulation Perspective.
ACS Omega 2018

Hebditch M, Curtis R, Warwicker J.
Sequence composition predicts immunoglobulin superfamily members that could share the intrinsically disordered properties of antibody CH1 domains.
Scientific Reports 2017

Hebditch M, Carballo-Amador M.A., Charonis S, Curtis R, Warwicker J
Protein-Sol: a web tool for predicting protein solubility from sequence.
Bioinformatics 2017

Corbett D, Hebditch M, Keeling R, Ke P, Ekizoglou Sofia, Pathak J, Van Der Walle C, Uddin S, Baldock C, Avendaño C, Curtis R.
Coarse-Grained Modeling of Antibodies from Small-Angle Scattering Profiles.
Journal Of Physical Chemistry B 2017

Marsden C, Eckersley S, Hebditch M, Kvist A, Milner R, Mitchell D, Warwicker J, Marley A.
The Use of Antibodies in Small-Molecule Drug Discovery.
Journal of biomolecular screening 2014

Williamson M, Hounslow A, Ford J, Fowler K, Hebditch M, Hansen P.
Detection of salt bridges to lysines in solution in barnase.
Chemical Communications 2013


PDRA Computational and Theoretical Chemistry
University of Manchester

PhD in Chemical Engineering
University of Manchester

Intellectual Property Fellow
University of Manchester Intellectual Property

Secondment with Mikael Lund
Lund University
2015 and 2016

Early Warnings System Officer
NHS England

Graduate Teaching Assistant
University of Manchester

Industrial Placement at AstraZeneca
Alderley Park

Wellcome Trust Biomedical Science Vacation Scholar
Institute for Cancer Research, Royal Hallamshire Hospital
Summer 2012

Lab Technician
BioServ UK
Summer 2011

MBiolSci Biochemistry (1st class)
University of Sheffield


MIB Early Career Research Award 2018

AccelerateME accelerator 2016

IQuBIT digital award 2015

Venture Further Prize Winner 2015

Wellcome Trust Scholarship 2012

Best presentation at SURE scheme 2012

SURE scheme 2012

Alumni Foundation Scholarship 2016