Monoclonal and Polyclonal Antibodies Research

PANCS-spec-Binders: A system for rapidly discovering isoform- or epitope-specific binders

PANCS-spec-Binders rapidly identifies binders with defined specificity by combining selection and counterselection to target specific isoforms or epitopes.

Exploring diverse routes to high-affinity-antibody variable domains through deep-sequencing-informed machine learning

This study uses deep sequencing and machine learning to optimize antibody discovery by analyzing training data and search space design for high-affinity VHHs.

Prediction of Antibody Non-Specificity using Protein Language Models and Biophysical Parameters

This paper predicts antibody non-specificity using protein language models and biophysical parameters, showing that heavy variable domains and isoelectric point are key predictors.

Combinatorial Optimization of Antibody Libraries via Constrained Integer Programming

This paper introduces an integer linear programming method for optimizing antibody libraries by balancing diversity and affinity, showing improved performance over baseline designs.

Multivalent Nanobodies for Potent and Broad Neutralization of Staphylococcus aureus Toxins

This paper develops multivalent nanobodies that neutralize multiple S. aureus toxins, showing potent activity in murine models of sepsis and pneumonia.

Direct serological antibody discovery by integrative proteomics yields potent neutralizers overlooked by single-cell BCR sequencing

The paper introduces AbDirect, a proteomics-based method for antibody discovery that identifies potent neutralizing antibodies missed by single-cell BCR sequencing in COVID-19 plasma.

H3BERTa: A CDR-H3 specific language model for antibody repertoire analysis

H3BERTa is a transformer model trained on CDR-H3 sequences to analyze antibody repertoires, capturing immunological signatures and supporting classifier development for broadly neutralizing antibodies.

Autoresearch Discovery of Interpretable Filter Rules for Antibody Binder Classification

The paper uses an autoresearch loop to develop an interpretable filter rule for antibody binder classification, achieving high ROC-AUC without training data.

Novel COX-2 Targeted Nanobodies for Molecular Endoscopic Imaging of Colorectal Adenomas

This paper develops COX-2-targeted nanobodies for enhanced endoscopic imaging of colorectal adenomas, showing tumor-specific accumulation in vivo.

Mouse Fc-FcγRIV structure guides Fc engineering for cross-species FcγR recognition

This paper determines the structure of mouse FcγRIV and uses it to engineer a human Fc variant that enhances cross-species FcγR recognition.

Development of an ELISA-Based Pulldown Approach for Functional Analysis of Antigen-Specific Antibodies

This paper develops an ELISA-based pulldown method to isolate functional antigen-specific antibodies from serum samples, demonstrating high specificity and sensitivity for detecting neutralising antibodies against influenza haemagglutinin.

Engineering B cells to Express Fully Customizable Antibodies with Enhanced Fc Functions

This study engineers B cells to express fully customizable antibodies with enhanced Fc functions through genome editing of the immunoglobulin Heavy chain locus.

Discovery and Characterization of Interleukin-4-Specific Affibodies for Affinity-Controlled Protein Release and Macrophage Polarization

This paper develops IL-4-specific affibodies to control cytokine delivery and bioactivity, showing reduced IL-4 release and partial signaling inhibition in macrophages.

Dual Immune Checkpoint and Cytokine Receptor Modulation by an Engineered Human CTLA-4/IL-10 Bispecific Fusion Protein

This paper describes the engineering of a bispecific fusion protein combining CTLA-4 and IL-10 to modulate immune checkpoints and cytokine receptors, showing T cell-inhibitory effects in vitro.

Multi-factorial regulatory networks of placental antibody transfer by Fc receptors and maternal IgG Fc characteristics are modulated by clinical covariate profiles

The paper identifies multi-factorial regulatory networks governing placental antibody transfer, showing how Fc receptor expression, IgG subclass, and clinical covariates interact to influence transfer efficiency.

Explicit representation of germline and non-germline residues improves antibody language modeling

PRISM improves antibody language modeling by distinguishing germline and non-germline residues, achieving better binding affinity correlation and controllable generation.

A novel nanobody-based approach for targeting heterogeneous Acinetobacter baumannii isolates and closely related pathogenic Acinetobacter spp.

This paper describes a nanobody-based method for targeting diverse Acinetobacter baumannii isolates and related species, demonstrating its effectiveness in capturing bacteria from complex mixtures.

Zero-Shot Design of a Biobetter Cetuximab: Enhanced EGFR Affinity with Preserved Developability

The paper designs a biobetter version of cetuximab with enhanced EGFR affinity using ConvergeAB, showing improved binding without compromising developability.

Multispecific nanobody degraders co-deplete membrane receptors and enable targeted delivery of diverse payloads

This paper develops MINDS, a multispecific nanobody-Fc platform that co-depletes membrane receptors and delivers diverse payloads, showing improved antitumor activity in cancer models.

Structural promiscuity in the human circulatory IgA1 clonal repertoire

The paper identifies structurally promiscuous IgA1 clones in human serum that exist as both monomers and J-chain-coupled dimers, challenging the view that these forms are clonally distinct.

An approach for single-amino-acid resolution epitope mapping by kinetic affinity screening of antibody drugs against biosensor on-chip library of deep mutationally-scanned target variants

This paper introduces a method to map epitopes at the single amino acid level by screening antibody drugs against a mutationally-scanned target protein library on a biosensor chip, identifying critical residues for binding.

Origin-1: a generative AI platform for de novo antibody design against novel epitopes

Origin-1 generates high-confidence, specific antibodies against zero-prior epitopes through generative AI, validated with biophysical assays and cryo-EM.

Aiki-GeNano: Multi-Stage Preference Optimization for Generative Design of Developable Nanobodies

Aiki-GeNano improves nanobody design by integrating developability signals into training, enhancing thermal stability and reducing liabilities while preserving humanness.

Systems serology of responses against tumor antigens in ovarian cancer reveal disrupted Fc-mediated immunity

This study identifies tumor-binding autoantibodies in ovarian cancer patients that fail to engage Fc{gamma}RIIIa, impairing antibody-dependent cellular cytotoxicity.

Generation of High-Affinity Anti-GIPR Antagonist Antibodies with Sustained and Non-rebound Weight Loss in DIO Mice by AlfaBodY

This study uses AI to design high-affinity anti-GIPR antibodies that induce sustained weight loss in obese mice without rebound.

Landscape-scale navigation unlocks antibody CDR structural logic for AI-guided rescue and therapeutic optimization

The paper uses high-throughput antibody variant analysis and AI models to optimize antibody productivity by navigating fitness landscapes and identifying structurally compatible CDR variants.

Development of a Humanized Anti-Fibrotic Antibody Targeting Extracellular Collagen Assembly to Reduce Post-Traumatic Scarring

This paper develops a humanized anti-fibrotic antibody with a collagen-binding peptide to enhance targeting of fibrotic tissues and reduce post-traumatic scarring.

Evaluating Expert Specialization in Mixture-of-Experts Antibody Language Models

This study evaluates MoE architectures for antibody language models, finding token-choice routing improves performance by specializing in CDRH3 residues and enabling efficient pre-training.

De novo masking domains that gate TNF-family ligand assembly and activity

This paper uses AI to design protein masks that control TNF-family ligand assembly and activity, enabling conditional activation and improved therapeutic applications.

Divergent disulfide bond architecture defines two IgY subclasses in snakes

This study identifies two IgY subclasses in snakes through structural and phylogenetic analysis, revealing divergent disulfide bond architectures and functional constraints.