Results 131 to 140 of about 3,380,570 (289)

Rapid affinity optimization of an anti-TREM2 clinical lead antibody by cross-lineage immune repertoire mining

open access: yesNature Communications
We describe a process for rapid antibody affinity optimization by repertoire mining to identify clones across B cell clonal lineages based on convergent immune responses where antigen-specific clones with the same heavy (VH) and light chain germline ...
Yi-Chun Hsiao   +14 more
doaj   +1 more source

Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization [PDF]

open access: yesarXiv
Antibodies are Y-shaped proteins that protect the host by binding to specific antigens, and their binding is mainly determined by the Complementary Determining Regions (CDRs) in the antibody. Despite the great progress made in CDR design, existing computational methods still encounter several challenges: 1) poor capability of modeling complex CDRs with
arxiv  

Deep-learning image analysis for high-throughput screening of opsono-phagocytosis-promoting monoclonal antibodies against Neisseria gonorrhoeae

open access: yesScientific Reports
Antimicrobial resistance (AMR) is nowadays a global health concern as bacterial pathogens are increasingly developing resistance to antibiotics. Monoclonal antibodies (mAbs) represent a powerful tool for addressing AMR thanks to their high specificity ...
Fabiola Vacca   +5 more
doaj   +1 more source

Large scale paired antibody language models [PDF]

open access: yesarXiv
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 class of biotherapeutics. With the advent of next-generation sequencing, billions of antibody sequences have been collected in recent years, though their application in ...
arxiv  

ANTIPASTI: interpretable prediction of antibody binding affinity exploiting Normal Modes and Deep Learning [PDF]

open access: yesarXiv
The high binding affinity of antibodies towards their cognate targets is key to eliciting effective immune responses, as well as to the use of antibodies as research and therapeutic tools. Here, we propose ANTIPASTI, a Convolutional Neural Network model that achieves state-of-the-art performance in the prediction of antibody binding affinity using as ...
arxiv  

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