The dawn of a new era: targeting the “undruggables” with antibody-based therapeutics

L Qian, X Lin, X Gao, RU Khan, JY Liao, S Du… - Chemical …, 2023 - ACS Publications
The high selectivity and affinity of antibodies toward their antigens have made them a highly
valuable tool in disease therapy, diagnosis, and basic research. A plethora of chemical and …

Artificial intelligence-aided protein engineering: from topological data analysis to deep protein language models

Y Qiu, GW Wei - Briefings in bioinformatics, 2023 - academic.oup.com
Protein engineering is an emerging field in biotechnology that has the potential to
revolutionize various areas, such as antibody design, drug discovery, food security, ecology …

AbDiffuser: full-atom generation of in-vitro functioning antibodies

K Martinkus, J Ludwiczak, WC Liang… - Advances in …, 2024 - proceedings.neurips.cc
We introduce AbDiffuser, an equivariant and physics-informed diffusion model for the joint
generation of antibody 3D structures and sequences. AbDiffuser is built on top of a new …

xTrimoPGLM: unified 100B-scale pre-trained transformer for deciphering the language of protein

B Chen, X Cheng, P Li, Y Geng, J Gong, S Li… - arXiv preprint arXiv …, 2024 - arxiv.org
Protein language models have shown remarkable success in learning biological information
from protein sequences. However, most existing models are limited by either autoencoding …

IgLM: Infilling language modeling for antibody sequence design

RW Shuai, JA Ruffolo, JJ Gray - Cell Systems, 2023 - cell.com
Discovery and optimization of monoclonal antibodies for therapeutic applications relies on
large sequence libraries but is hindered by developability issues such as low solubility, high …

Adaptive immune receptor repertoire analysis

V Mhanna, H Bashour, K Lê Quý, P Barennes… - Nature Reviews …, 2024 - nature.com
B cell and T cell receptor repertoires compose the adaptive immune receptor repertoire
(AIRR) of an individual. The AIRR is a unique collection of antigen-specific receptors that …

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 …

Generative language modeling for antibody design

RW Shuai, JA Ruffolo, JJ Gray - BioRxiv, 2021 - biorxiv.org
Discovery and optimization of monoclonal antibodies for therapeutic applications relies on
large sequence libraries, but is hindered by developability issues such as low solubility, low …

Toward real-world automated antibody design with combinatorial Bayesian optimization

A Khan, AI Cowen-Rivers, A Grosnit, PA Robert… - Cell Reports …, 2023 - cell.com
Antibodies are multimeric proteins capable of highly specific molecular recognition. The
complementarity determining region 3 of the antibody variable heavy chain (CDRH3) often …

Accelerating antibody discovery and design with artificial intelligence: Recent advances and prospects

G Bai, C Sun, Z Guo, Y Wang, X Zeng, Y Su… - Seminars in Cancer …, 2023 - Elsevier
Therapeutic antibodies are the largest class of biotherapeutics and have been successful in
treating human diseases. However, the design and discovery of antibody drugs remains …