Revolutionizing Synthetic Antibody Design: Harnessing Artificial Intelligence and Deep Sequencing Big Data for Unprecedented Advances

E Gallo - Molecular Biotechnology, 2024 - Springer
Synthetic antibodies (Abs) represent a category of engineered proteins meticulously crafted
to replicate the functions of their natural counterparts. Such Abs are generated in vitro …

[HTML][HTML] The Application of Machine Learning on Antibody Discovery and Optimization

J Zheng, Y Wang, Q Liang, L Cui, L Wang - Molecules, 2024 - mdpi.com
Antibodies play critical roles in modern medicine, serving as diagnostics and therapeutics
for various diseases due to their ability to specifically bind to target antigens. Traditional …

Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developability

H Bashour, E Smorodina, M Pariset, J Zhong… - Communications …, 2024 - nature.com
Designing effective monoclonal antibody (mAb) therapeutics faces a multi-parameter
optimization challenge known as “developability”, which reflects an antibody's ability to …

Industrial Horizons in Pharmaceutical Science

M Brader, HYA Kim, O Koo, K Nagapudi… - Molecular …, 2024 - ACS Publications
The mission of industrial science in the pharmaceutical sector is to drive innovation in drug
development, delivery, and manufacturing, to fulfill unmet medical needs, and to provide …

AbLEF: antibody language ensemble fusion for thermodynamically empowered property predictions

ZA Rollins, T Widatalla, A Waight, AC Cheng… - …, 2024 - academic.oup.com
Motivation Pre-trained protein language and/or structural models are often fine-tuned on
drug development properties (ie, developability properties) to accelerate drug discovery …

An Integrated Strategy to Identify Tyrosine Sulfation from the Therapeutic Proteins

E Jang, F Ma, D Tomazela… - Journal of the …, 2024 - ACS Publications
Posttranslational modifications (PTMs) are potential critical quality attributes in
biotherapeutic development, as they can affect drug efficacy and safety. Tyrosine sulfation …

Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developability

H Bashour, E Smorodina, M Pariset, J Zhong, R Akbar… - bioRxiv, 2023 - biorxiv.org
Designing effective monoclonal antibody (mAb) therapeutics face a significant challenge
known as" developability", which reflects an antibody's ability to progress through …

Protein language models enable prediction of polyreactivity of monospecific, bispecific, and heavy-chain-only antibodies

X Yu, K Vangjeli, A Prakash, M Chhaya… - Antibody …, 2024 - academic.oup.com
Background Early assessment of antibody off-target binding is essential for mitigating
developability risks such as fast clearance, reduced efficacy, toxicity, and immunogenicity …

Cartography of the developability landscapes of native and human-engineered antibodies

H Bashour, E Smorodina, M Pariset, J Zhong, R Akbar… - 2023 - europepmc.org
Design: ing effective monoclonal antibody (mAb) therapeutics face a significant challenge
known as “developability”, which reflects an antibody's ability to progress through …

Hyperbox Mixture Regression for Process Performance Prediction in Antibody Production

A Nik-Khorasani, TT Khuat, B Gabrys - arXiv preprint arXiv:2411.01404, 2024 - arxiv.org
This paper addresses the challenges of predicting bioprocess performance, particularly in
monoclonal antibody (mAb) production, where conventional statistical methods often fall …