Monoclonal and Polyclonal Antibodies Research

The anti-inflammatory activity of IgG requires the co-engagement of types I and II Fc receptors

This study shows that IgG's anti-inflammatory activity depends on the interaction between Fc{gamma}RIIB and DC-SIGN, and engineering sialylated IgG1 enhances its potency in treating autoimmune diseases.

Development of DARPin T cell engagers for specific targeting of tumor-associated HLA/peptide complexes

This study develops DARPin T cell engagers that specifically target HLA/peptide complexes on tumor cells, showing high affinity and specificity through in vitro selection and structural analysis.

Xenopus IgX informs engineering strategies of IgM and IgG hexamers

The paper presents the cryo-EM structure of Xenopus IgX, revealing a hexameric assembly that informs strategies for engineering human IgM and IgG hexamers with therapeutic applications.

Bispecific CD20xCD40 Antibodies Achieve Multi-Lineage Modulation of Humoral and Cellular Immunity

This paper evaluates two bispecific CD20xCD40 antibodies, showing they modulate multiple immune cell types and achieve deep immunomodulation without safety issues.

Computational Stabilization of the Human VH Germline Repertoire to Enable Conditional Multi-Specific Therapeutic Development

The paper develops a computational platform to stabilize human VH domains for creating multispecific biologics with conditional activity.

A novel Fc-optimized antibody drug conjugate targeting CD7 for the therapy of T-cell acute lymphoblastic leukemia

This paper evaluates a novel Fc-optimized antibody drug conjugate targeting CD7, showing potent anti-leukemia activity in preclinical T-ALL models.

A synergistic generative-ranking framework for tailored design of therapeutic single-domain antibodies

This paper introduces TFDesign-sdAb, a deep learning framework for designing therapeutic single-domain antibodies with tailored functionalities, achieving high success rates in generating Protein A-binding sdAbs.

BLOSUM Is All You Learn - Generative Antibody Models Reflect Evolutionary Priors

This paper shows that BLOSUM similarity scores correlate with antibody binding affinity, suggesting generative models implicitly learn evolutionary priors.

ALLM-Ab: Active learning-driven antibody optimization using fine-tuned protein language models

ALLM-Ab uses fine-tuned protein language models and active learning to optimize antibody sequences for both high binding affinity and developability.

Characterization of deglycosylated anti-cocaine mAb by differential scanning fluorimetry and fluorescence labeling

This study assesses the effects of deglycosylation on the stability and function of an anti-cocaine mAb using DSF and fluorescence labeling.

A deep learning approach for rational affinity maturation of anti-VEGF nanobodies

This study uses deep learning to design anti-VEGF nanobodies with improved affinity and stability through structure-guided mutational modeling and a sequence-based melting temperature predictor.

ANABAG: Annotated Antibody Antigen dataset with unique features for Antibody Engineering Applications

ANABAG provides a curated dataset of antibody-antigen complexes with structural and physicochemical features to improve Ab-Ag modeling and antibody engineering.

peleke-1: A Suite of Protein Language Models Fine-Tuned for Targeted Antibody Sequence Generation

This paper introduces peleke-1, a suite of protein language models fine-tuned for generating targeted antibody sequences from antigen inputs.

Pharmacophore-driven antibody discovery on the yeast surface

This paper describes a method to discover protein-small molecule hybrids using pharmacophore-driven antibody discovery on yeast, showing that screening outcomes are pharmacophore-dependent.

Production of high-affinity glycosylated anti-mouse conjugated nanobodies in Pichia pastoris

The paper describes a system for producing glycosylated anti-mouse nanobodies in Pichia pastoris, showing they retain high affinity and functionality with posttranslational modifications.

Herding cats: predicting immunogenicity from heterogeneous clinical trials data

The paper curates a database of therapeutic antibodies linked to clinical trial outcomes, identifies poor performance of existing tools in predicting immunogenicity, and highlights the need for systems immunology approaches.

AI-guided design of common light chains to enable manufacturable bispecific antibodies

This paper presents an AI framework to design common light chains for bispecific antibodies, reducing experimental screening and enabling production-ready antibodies for 7 out of 10 targets.

Property Enhancer - a data efficient multi-objective approach for functional antibody optimization

Property Enhancer optimizes antibody properties using a data-efficient framework, achieving significant affinity gains in both in silico and in vitro tests.

A yeast mating-based platform enables the generation and screening of ultra large antibody libraries

This paper introduces a yeast mating-based platform for generating ultra-large antibody libraries and demonstrates its ability to discover high-affinity binders.

Engineering Antibody-Drug Conjugates targeting an Adhesion GPCR, CD97

This study develops antibody-drug conjugates targeting CD97, an aGPCR overexpressed in cancer, showing efficacy against AML and GBM cells with minimal off-target toxicity.

Using Virtual Patients to Evaluate Dosing Strategies for Bispecifics with a Bell-Shaped Efficacy Curve

The paper develops a pharmacokinetic/pharmacodynamic model to evaluate dosing strategies for trimer-based bispecific antibodies, finding that the current recommended dose is optimal for a broad population and that patient stratification based on biomarkers can improve efficacy.

Paratope mapping of tilvestamab, an anti-AXL function blocking antibody, using high-throughput bacterial expression of secreted scFv-ompY fusion proteins

This study maps the paratope residues of tilvestamab, an anti-AXL antibody, identifying twelve critical residues and Glu2 on AXL essential for binding.

Combinatorial factorizable libraries outperform enumerated and random libraries for antibody discovery

This study designs factorizable antibody libraries using neural networks, finding they outperform random and enumerated libraries in pMHC binding.

The structures of tetrameric Avian Immunoglobulin A are uniquely structured to support mucosal immunity

The paper reports cryo-EM structures of avian IgA and compares them to mammalian IgA, revealing structural differences that may affect mucosal immune responses.

Efficient generation of epitope-targeted de novo antibodies with Germinal

Germinal is a generative pipeline that designs functional antibodies with nanomolar binding affinities using minimal experimental testing.

Interdomain disulfide bonds of rabbit kappa light chain allotypes influence mouse-rabbit chimeric antibody performance

This study shows that rabbit kappa light chain allotypes affect chimeric antibody expression and function, with K1-b9 maintaining robust performance due to a stable disulfide bond.

Selection of nanobodies against liponanoparticle-embedded membrane proteins by yeast surface display

This paper develops a method to select nanobodies against membrane proteins embedded in liponanoparticles using yeast surface display, achieving high-affinity and stable Nb-protein complexes.

A Generative Foundation Model for Antibody Design

IgGM is a generative model for antibody design that produces high-affinity antibodies through tasks like structure prediction and affinity maturation, validated on multiple antigens.

Improvement of affinity and potency of a monoclonal antibody against Shigella flexneri 3a O-antigen via phage display and whole-cell in-solution panning

This paper improves the affinity and potency of a monoclonal antibody against Shigella flexneri 3a O-antigen using phage display and whole-cell panning, showing enhanced antibacterial activity and broader serotype recognition.

Proteome integral solubility alteration assay for monitoring antibody-antigen cell interactions

The study uses a modified PISA assay to identify TNF as the antigen of infliximab among 8,000 proteins in activated monocytes, demonstrating its utility for antibody-antigen interaction analysis.