Computational approaches to therapeutic antibody design: established methods and emerging trends
Antibodies are proteins that recognize the molecular surfaces of potentially noxious
molecules to mount an adaptive immune response or, in the case of autoimmune diseases …
molecules to mount an adaptive immune response or, in the case of autoimmune diseases …
Machine-designed biotherapeutics: opportunities, feasibility and advantages of deep learning in computational antibody discovery
W Wilman, S Wróbel, W Bielska… - Briefings in …, 2022 - academic.oup.com
Antibodies are versatile molecular binders with an established and growing role as
therapeutics. Computational approaches to develo** and designing these molecules are …
therapeutics. Computational approaches to develo** and designing these molecules are …
Antibody structure prediction using interpretable deep learning
Therapeutic antibodies make up a rapidly growing segment of the biologics market.
However, rational design of antibodies is hindered by reliance on experimental methods for …
However, rational design of antibodies is hindered by reliance on experimental methods for …
Deciphering the language of antibodies using self-supervised learning
An individual's B cell receptor (BCR) repertoire encodes information about past immune
responses and potential for future disease protection. Deciphering the information stored in …
responses and potential for future disease protection. Deciphering the information stored in …
ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins
Immune receptor proteins play a key role in the immune system and have shown great
promise as biotherapeutics. The structure of these proteins is critical for understanding their …
promise as biotherapeutics. The structure of these proteins is critical for understanding their …
Assessing developability early in the discovery process for novel biologics
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 …
Selecting and screening for such attributes early in the drug development process can save …
Large scale paired antibody language models
Antibodies are proteins produced by the immune system that can identify and neutralise a
wide variety of antigens with high specificity and affinity, and constitute the most successful …
wide variety of antigens with high specificity and affinity, and constitute the most successful …
Ig-VAE: Generative modeling of protein structure by direct 3D coordinate generation
While deep learning models have seen increasing applications in protein science, few have
been implemented for protein backbone generation—an important task in structure-based …
been implemented for protein backbone generation—an important task in structure-based …
The Patent and Literature Antibody Database (PLAbDab): an evolving reference set of functionally diverse, literature-annotated antibody sequences and structures
Antibodies are key proteins of the adaptive immune system, and there exists a large body of
academic literature and patents dedicated to their study and concomitant conversion into …
academic literature and patents dedicated to their study and concomitant conversion into …
Third generation antibody discovery methods: in silico rational design
Owing to their outstanding performances in molecular recognition, antibodies are
extensively used in research and applications in molecular biology, biotechnology and …
extensively used in research and applications in molecular biology, biotechnology and …