[HTML][HTML] Computational and artificial intelligence-based methods for antibody development

J Kim, M McFee, Q Fang, O Abdin, PM Kim - Trends in pharmacological …, 2023 - cell.com
Due to their high target specificity and binding affinity, therapeutic antibodies are currently
the largest class of biotherapeutics. The traditional largely empirical antibody development …

A review on targeting tumor microenvironment: The main paradigm shift in the mAb-based immunotherapy of solid tumors

A Aghanejad, SF Bonab, M Sepehri… - International journal of …, 2022 - Elsevier
Monoclonal antibodies (mAbs) as biological macromolecules have been remarked the large
and growing pipline of the pharmaceutical market and also the most promising tool in …

Antibody-receptor bioengineering and its implications in designing bioelectronic devices

DS Dkhar, R Kumari, S Mahapatra, R Kumar… - International Journal of …, 2022 - Elsevier
Antibodies play a crucial role in the defense mechanism countering pathogens or foreign
antigens in eukaryotes. Its potential as an analytical and diagnostic tool has been exploited …

AVIDa-hIL6: a large-scale VHH dataset produced from an immunized alpaca for predicting antigen-antibody interactions

H Tsuruta, H Yamazaki, R Maeda… - Advances in …, 2023 - proceedings.neurips.cc
Antibodies have become an important class of therapeutic agents to treat human diseases.
To accelerate therapeutic antibody discovery, computational methods, especially machine …

[HTML][HTML] Targeted nanoparticles for the binding of injured vascular endothelium after percutaneous coronary intervention

P Mungchan, K Glab-Ampai, N Chruewkamlow… - Molecules, 2022 - mdpi.com
Percutaneous coronary intervention (PCI) is a common procedure for the management of
coronary artery obstruction. However, it usually causes vascular wall injury leading to …

A new era of antibody discovery: an in-depth review of AI-driven approaches

J Cheng, T Liang, XQ Xie, Z Feng, L Meng - Drug Discovery Today, 2024 - Elsevier
Highlights•This review paper underscores how recent advances in artificial intelligence,
particularly deep learning models, have revolutionized antibody design by accurately …

Liquid-phase separations coupled with ion mobility-mass spectrometry for next-generation biopharmaceutical analysis

DM Makey, BT Ruotolo - Expert Review of Proteomics, 2024 - Taylor & Francis
Introduction The pharmaceutical industry continues to expand its search for innovative
biotherapeutics. The comprehensive characterization of such therapeutics requires many …

Study on the S239D/I332E mutation effect on the kinetics of Fc–Fc receptor binding through transition complex theory

P Jebamani, SG Lee - Biotechnology and Bioprocess Engineering, 2024 - Springer
Abstract The S239D/I332E mutation in both chain A and chain B of Fc is widely employed to
enhance the binding affinity of Fc to its receptor (FcγRIIIa). Despite its popularity in Fc …

A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models

H Tsuruta, H Yamazaki, R Maeda, R Tamura… - arXiv preprint arXiv …, 2024 - arxiv.org
Antibodies are crucial proteins produced by the immune system to eliminate harmful foreign
substances and have become pivotal therapeutic agents for treating human diseases. To …

Utilizing fab fragment‐conjugated surface plasmon resonance‐based biosensor for detection of Salmonella Enteritidis

E Eser, OÖ Ekiz, Hİ Ekiz - Journal of Molecular Recognition, 2024 - Wiley Online Library
Although antibodies, a key element of biorecognition, are frequently used as biosensor
probes, the use of these large molecules can lead to adverse effects. Fab fragments can be …