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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/10.7717/peerj.8199

PubMed Identifier: 31976163

Publication URI: http://europepmc.org/abstract/MED/31976163

Type: Journal Article/Review

Parent Publication: PeerJ

ISSN: 2167-8359