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 …
The evolutionary and functional significance of germline immunoglobulin gene variation
The recombination between immunoglobulin (IG) gene segments determines an individual's
naïve antibody repertoire and, consequently,(auto) antigen recognition. Emerging evidence …
naïve antibody repertoire and, consequently,(auto) antigen recognition. Emerging evidence …
Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies
Antibodies have the capacity to bind a diverse set of antigens, and they have become critical
therapeutics and diagnostic molecules. The binding of antibodies is facilitated by a set of six …
therapeutics and diagnostic molecules. The binding of antibodies is facilitated by a set of six …
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 …
ABlooper: fast accurate antibody CDR loop structure prediction with accuracy estimation
Motivation Antibodies are a key component of the immune system and have been
extensively used as biotherapeutics. Accurate knowledge of their structure is central to …
extensively used as biotherapeutics. Accurate knowledge of their structure is central to …
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 …
Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies
1Program in Molecular Biophysics, Johns Hopkins University, Baltimore, MD, USA,
2Department of Chemical and Biomolecular Engineering, Johns Hopkins University …
2Department of Chemical and Biomolecular Engineering, Johns Hopkins University …
Rapid discovery of monoclonal antibodies by microfluidics-enabled FACS of single pathogen-specific antibody-secreting cells
K Fischer, A Lulla, TY So, P Pereyra-Gerber… - Nature …, 2024 - nature.com
Monoclonal antibodies are increasingly used to prevent and treat viral infections and are
pivotal in pandemic response efforts. Antibody-secreting cells (ASCs; plasma cells and …
pivotal in pandemic response efforts. Antibody-secreting cells (ASCs; plasma cells and …
Functional antibodies exhibit light chain coherence
The vertebrate adaptive immune system modifies the genome of individual B cells to encode
antibodies that bind particular antigens. In most mammals, antibodies are composed of …
antibodies that bind particular antigens. In most mammals, antibodies are composed of …
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 …