eprintid: 10204889
rev_number: 7
eprint_status: archive
userid: 699
dir: disk0/10/20/48/89
datestamp: 2025-02-19 16:13:55
lastmod: 2025-02-19 16:13:55
status_changed: 2025-02-19 16:13:55
type: article
metadata_visibility: show
sword_depositor: 699
creators_name: Martin, Andrew
creators_name: Sweet-Jones, James
title: An antibody developability triaging pipeline exploiting protein language models
ispublished: inpress
divisions: UCL
divisions: B02
divisions: C08
divisions: D09
divisions: G03
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
date: 2025-03-03
date_type: published
publisher: Taylor & Francis Group
official_url: https://www.tandfonline.com/journals/kmab20
full_text_type: other
language: eng
verified: verified_manual
elements_id: 2362406
lyricists_name: Martin, Andrew
lyricists_id: ACRMA18
actors_name: Martin, Andrew
actors_id: ACRMA18
actors_role: owner
funding_acknowledgements: BB/T008709/1 [Biotechnology and Biological Sciences Research Council]
full_text_status: restricted
publication: mAbs
citation:        Martin, Andrew;    Sweet-Jones, James;      (2025)    An antibody developability triaging pipeline exploiting protein language models.                   mAbs           (In press).   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10204889/1/KMAB_2024_0199_R2_Martin_EditsAccepted.pdf