Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies
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 …
are tremendous, the design and discovery of new candidates remain a time and cost …
Co-optimization of therapeutic antibody affinity and specificity using machine learning models that generalize to novel mutational space
EK Makowski, PC Kinnunen, J Huang, L Wu… - Nature …, 2022 - nature.com
Therapeutic antibody development requires selection and engineering of molecules with
high affinity and other drug-like biophysical properties. Co-optimization of multiple antibody …
high affinity and other drug-like biophysical properties. Co-optimization of multiple antibody …
Computational optimization of antibody humanness and stability by systematic energy-based ranking
A Tennenhouse, L Khmelnitsky, R Khalaila… - Nature biomedical …, 2024 - nature.com
Conventional methods for humanizing animal-derived antibodies involve grafting their
complementarity-determining regions onto homologous human framework regions …
complementarity-determining regions onto homologous human framework regions …
Optimization of therapeutic antibodies for reduced self-association and non-specific binding via interpretable machine learning
Antibody development, delivery, and efficacy are influenced by antibody-antigen affinity
interactions, off-target interactions that reduce antibody bioavailability and …
interactions, off-target interactions that reduce antibody bioavailability and …
Non-specificity as the sticky problem in therapeutic antibody development
Antibodies are highly potent therapeutic scaffolds with more than a hundred different
products approved on the market. Successful development of antibody-based drugs …
products approved on the market. Successful development of antibody-based drugs …
Trends in industrialization of biotherapeutics: a survey of product characteristics of 89 antibody-based biotherapeutics
There is considerable interest in the pharmaceutical industry toward development of
antibody-based biotherapeutics because they can selectively bind diverse receptors and …
antibody-based biotherapeutics because they can selectively bind diverse receptors and …
Current advances in biopharmaceutical informatics: guidelines, impact and challenges in the computational developability assessment of antibody therapeutics
Therapeutic monoclonal antibodies and their derivatives are key components of clinical
pipelines in the global biopharmaceutical industry. The availability of large datasets of …
pipelines in the global biopharmaceutical industry. The availability of large datasets of …
Intrinsic physicochemical profile of marketed antibody-based biotherapeutics
Feeding biopharma pipelines with biotherapeutic candidates that possess desirable
developability profiles can help improve the productivity of biologic drug discovery and …
developability profiles can help improve the productivity of biologic drug discovery and …
SEDNTERP: a calculation and database utility to aid interpretation of analytical ultracentrifugation and light scattering data
JS Philo - European Biophysics Journal, 2023 - Springer
Proper interpretation of analytical ultracentrifugation (AUC) data for purified proteins
requires ancillary information and calculations to account for factors such as buoyancy …
requires ancillary information and calculations to account for factors such as buoyancy …