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 developing and designing these molecules are …
therapeutics. Computational approaches to developing 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
JA Ruffolo, JJ Gray - Biophysical Journal, 2022 - cell.com
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 …
Functional antibodies exhibit light chain coherence
DB Jaffe, P Shahi, BA Adams, AM Chrisman… - Nature, 2022 - nature.com
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 …
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 …