Predicting the clinical subcutaneous absorption rate constant of monoclonal antibodies using only the primary sequence: a machine learning approach

Predicting the clinical subcutaneous absorption rate constant of monoclonal antibodies using only the primary sequence: a machine learning approach

Subcutaneous injections are an increasingly prevalent route of administration for delivering biological therapies including monoclonal antibodies (mAbs). Compared with intravenous delivery, subcutaneous injections reduce administration costs, shorten the administration time, and are strongly preferr...

Full description

Saved in:
Bibliographic Details
Main Authors: Ronghua Bei, Justin Thomas, Shiven Kapur, Mahlet Woldeyes, Adam Rauk, Jason Robarge, Jiangyan Feng, Kaoutar Abbou Oucherif
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:mAbs
Subjects:
Machine learning
monoclonal antibody
rate constant
subcutaneous absorption
Xgboost
Online Access:https://www.tandfonline.com/doi/10.1080/19420862.2024.2352887
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items