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 …

Predicting antibody developability profiles through early stage discovery screening

M Bailly, C Mieczkowski, V Juan, E Metwally… - MAbs, 2020 - Taylor & Francis
Monoclonal antibodies play an increasingly important role for the development of new drugs
across multiple therapy areas. The term 'developability'encompasses the feasibility of …

Trends in industrialization of biotherapeutics: a survey of product characteristics of 89 antibody-based biotherapeutics

KP Martin, C Grimaldi, R Grempler, S Hansel, S Kumar - MAbs, 2023 - Taylor & Francis
There is considerable interest in the pharmaceutical industry toward development of
antibody-based biotherapeutics because they can selectively bind diverse receptors and …

Identifying developability risks for clinical progression of antibodies using high-throughput in vitro and in silico approaches

T Jain, T Boland, M Vásquez - MAbs, 2023 - Taylor & Francis
With the growing significance of antibodies as a therapeutic class, identifying developability
risks early during development is of paramount importance. Several high-throughput in vitro …

Blueprint for antibody biologics developability

C Mieczkowski, X Zhang, D Lee, K Nguyen, W Lv… - Mabs, 2023 - Taylor & Francis
Large-molecule antibody biologics have revolutionized medicine owing to their superior
target specificity, pharmacokinetic and pharmacodynamic properties, safety and toxicity …

Molecular basis of high viscosity in concentrated antibody solutions: Strategies for high concentration drug product development

DS Tomar, S Kumar, SK Singh, S Goswami, L Li - MAbs, 2016 - Taylor & Francis
Effective translation of breakthrough discoveries into innovative products in the clinic
requires proactive mitigation or elimination of several drug development challenges. These …

Structure, heterogeneity and developability assessment of therapeutic antibodies

Y Xu, D Wang, B Mason, T Rossomando, N Li, D Liu… - MAbs, 2019 - Taylor & Francis
Increasing attention has been paid to developability assessment with the understanding that
thorough evaluation of monoclonal antibody lead candidates at an early stage can avoid …

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 …

A machine learning strategy for the identification of key in silico descriptors and prediction models for IgG monoclonal antibody developability properties

AB Waight, D Prihoda, R Shrestha, K Metcalf, M Bailly… - MAbs, 2023 - Taylor & Francis
Identification of favorable biophysical properties for protein therapeutics as part of
developability assessment is a crucial part of the preclinical development process …