Computational tool for the early screening of monoclonal antibodies for their viscosities.

Abstract:

:Highly concentrated antibody solutions often exhibit high viscosities, which present a number of challenges for antibody-drug development, manufacturing and administration. The antibody sequence is a key determinant for high viscosity of highly concentrated solutions; therefore, a sequence- or structure-based tool that can identify highly viscous antibodies from their sequence would be effective in ensuring that only antibodies with low viscosity progress to the development phase. Here, we present a spatial charge map (SCM) tool that can accurately identify highly viscous antibodies from their sequence alone (using homology modeling to determine the 3-dimensional structures). The SCM tool has been extensively validated at 3 different organizations, and has proved successful in correctly identifying highly viscous antibodies. As a quantitative tool, SCM is amenable to high-throughput automated analysis, and can be effectively implemented during the antibody screening or engineering phase for the selection of low-viscosity antibodies.

journal_name

MAbs

journal_title

mAbs

authors

Agrawal NJ,Helk B,Kumar S,Mody N,Sathish HA,Samra HS,Buck PM,Li L,Trout BL

doi

10.1080/19420862.2015.1099773

subject

Has Abstract

pub_date

2016-01-01 00:00:00

pages

43-8

issue

1

eissn

1942-0862

issn

1942-0870

journal_volume

8

pub_type

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