Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies

R Akbar, H Bashour, P Rawat, PA Robert, E Smorodina… - MAbs, 2022 - Taylor & Francis
Although the therapeutic efficacy and commercial success of monoclonal antibodies (mAbs)
are tremendous, the design and discovery of new candidates remain a time and cost …

Assessing developability early in the discovery process for novel biologics

ML Fernández-Quintero, A Ljungars, F Waibl, V Greiff… - MAbs, 2023 - Taylor & Francis
Beyond potency, a good developability profile is a key attribute of a biological drug.
Selecting and screening for such attributes early in the drug development process can save …

Machine learning prediction of antibody aggregation and viscosity for high concentration formulation development of protein therapeutics

PK Lai, A Gallegos, N Mody, HA Sathish, BL Trout - MAbs, 2022 - Taylor & Francis
Machine learning has been recently used to predict therapeutic antibody aggregation rates
and viscosity at high concentrations (150 mg/ml). These works focused on commercially …

Contextualising the developability risk of antibodies with lambda light chains using enhanced therapeutic antibody profiling

MIJ Raybould, OM Turnbull, A Suter, B Guloglu… - Communications …, 2024 - nature.com
Antibodies with lambda light chains (λ-antibodies) are generally considered to be less
developable than those with kappa light chains (κ-antibodies). Though this hypothesis has …

Understanding AL amyloidosis with a little help from in vivo models

G Martinez-Rivas, S Bender, C Sirac - Frontiers in Immunology, 2022 - frontiersin.org
Monoclonal immunoglobulin (Ig) light chain amyloidosis (AL) is a rare but severe disease
that may occur when a B or plasma cell clone secretes an excess of free Ig light chains …

Machine learning approaches in diagnosis, prognosis and treatment selection of cardiac amyloidosis

A Allegra, G Mirabile, A Tonacci, S Genovese… - International Journal of …, 2023 - mdpi.com
Cardiac amyloidosis is an uncommon restrictive cardiomyopathy featuring an unregulated
amyloid protein deposition that impairs organic function. Early cardiac amyloidosis …

Role of the mechanisms for antibody repertoire diversification in monoclonal light chain deposition disorders: when a friend becomes foe

L Del Pozo-Yauner, GA Herrera… - Frontiers in …, 2023 - frontiersin.org
The adaptive immune system of jawed vertebrates generates a highly diverse repertoire of
antibodies to meet the antigenic challenges of a constantly evolving biological ecosystem …

AB-Amy: machine learning aided amyloidogenic risk prediction of therapeutic antibody light chains

Y Zhou, Z Huang, Y Gou, S Liu, W Yang… - Antibody …, 2023 - academic.oup.com
Over 120 FDA-approved antibody-based therapeutics are used to treat a variety of diseases.
However, many candidates could fail because of unfavorable physicochemical properties …

Widespread amyloidogenicity potential of multiple myeloma patient-derived immunoglobulin light chains

R Sternke-Hoffmann, T Pauly, RK Norrild, J Hansen… - BMC biology, 2023 - Springer
Background In a range of human disorders such as multiple myeloma (MM),
immunoglobulin light chains (IgLCs) can be produced at very high concentrations. This can …

[PDF][PDF] AbPROP: language and graph deep learning for antibody property prediction

T Widatalla, ZA Rollins, MT Chen… - ICML workshop on …, 2023 - icml-compbio.github.io
Despite the rising importance of monoclonal antibodies as clinical therapeutics, sizes of
experimental datasets for antibody developability remain in the 100's, creating a challenge …