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 …
[HTML][HTML] The structural basis of antibody-antigen recognition
I Sela-Culang, V Kunik, Y Ofran - Frontiers in immunology, 2013 - frontiersin.org
The function of antibodies (Abs) involves specific binding to antigens (Ags) and activation of
other components of the immune system to fight pathogens. The six hypervariable loops …
other components of the immune system to fight pathogens. The six hypervariable loops …
[HTML][HTML] Germinal centre-driven maturation of B cell response to mRNA vaccination
Germinal centres (GC) are lymphoid structures in which B cells acquire affinity-enhancing
somatic hypermutations (SHM), with surviving clones differentiating into memory B cells …
somatic hypermutations (SHM), with surviving clones differentiating into memory B cells …
Hopfield networks is all you need
We introduce a modern Hopfield network with continuous states and a corresponding
update rule. The new Hopfield network can store exponentially (with the dimension of the …
update rule. The new Hopfield network can store exponentially (with the dimension of the …
Human germinal centres engage memory and naive B cells after influenza vaccination
Influenza viruses remain a major public health threat. Seasonal influenza vaccination in
humans primarily stimulates pre-existing memory B cells, which differentiate into a transient …
humans primarily stimulates pre-existing memory B cells, which differentiate into a transient …
CoV-AbDab: the coronavirus antibody database
MIJ Raybould, A Kovaltsuk, C Marks… - Bioinformatics, 2021 - academic.oup.com
Motivation The emergence of a novel strain of betacoronavirus, SARS-CoV-2, has led to a
pandemic that has been associated with over 700 000 deaths as of August 5, 2020 …
pandemic that has been associated with over 700 000 deaths as of August 5, 2020 …
[HTML][HTML] Protein design and variant prediction using autoregressive generative models
JE Shin, AJ Riesselman, AW Kollasch… - Nature …, 2021 - nature.com
The ability to design functional sequences and predict effects of variation is central to protein
engineering and biotherapeutics. State-of-art computational methods rely on models that …
engineering and biotherapeutics. State-of-art computational methods rely on models that …
Iterative refinement graph neural network for antibody sequence-structure co-design
Antibodies are versatile proteins that bind to pathogens like viruses and stimulate the
adaptive immune system. The specificity of antibody binding is determined by …
adaptive immune system. The specificity of antibody binding is determined by …
Structure-informed language models are protein designers
This paper demonstrates that language models are strong structure-based protein
designers. We present LM-Design, a generic approach to reprogramming sequence-based …
designers. We present LM-Design, a generic approach to reprogramming sequence-based …
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 …