Charge and hydrophobicity are key features in sequence-trained machine learning models for predicting the biophysical properties of clinical-stage antibodies (2019)

First Author: Hebditch M

Attributed to: Enabling rapid liquid and freeze-dried formulation design for the manufacture and delivery of novel biopharmaceuticals funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1101/625830

Publication URI: http://dx.doi.org/10.1101/625830

Type: Preprint