Monoclonal and Polyclonal Antibodies Research

RESP2: An uncertainty aware multi-target multi-property optimization AI pipeline for antibody discovery

RESP2 is an AI pipeline for antibody discovery that optimizes multiple properties and targets, achieving high success rates in binding affinity and specificity.

High-throughput synthesis and specificity characterization of natively paired antibodies using oPool+ display

This study introduces oPool+ display, a high-throughput platform for synthesizing and characterizing natively paired antibodies, demonstrating its application in analyzing influenza HA antibodies.

Identification of Engineered IMGT Fc Variants in IMGT/mAb-DB Therapeutic Antibodies and Fusion proteins

The paper identifies engineered Fc variants in therapeutic antibodies and fusion proteins using the IMGT/FcVariantsExplorer tool and integrates the findings into IMGT/mAb-DB.

An integrated in silico-in vitro workflow for discovering high-affinity, selective antibodies to the KRAS(G12D)-MHC I complex

The paper develops an in silico-in vitro workflow to generate high-affinity antibodies targeting the KRAS(G12D)-MHC I complex, achieving nanomolar affinity and specific T cell activation.

Deep generative modeling reveals maturation-linked pairing signatures in human antibodies

This paper develops a deep learning framework to generate light chains from heavy chains using unpaired antibody sequences, revealing maturation-linked pairing patterns.

TUB-010, a novel anti-CD30 antibody-drug conjugate based on Tub-tag technology, widens the therapeutic window by reducing toxicity while maintaining high efficacy

TUB-010 is an anti-CD30 ADC using Tub-tag conjugation technology that reduces toxicity and improves therapeutic window compared to Adcetris.

Platform for Identifying Human Glycan-Specific Antibodies Against Bacterial Pathogens using Synthetic Glycan Fragments

This paper describes an experimental pipeline for generating human monoclonal antibodies against bacterial pathogens using synthetic glycan fragments, identifying functional antibodies against Staphylococcus aureus and Streptococcus pyogenes.

Functional and epitope specific monoclonal antibody discovery directly from immune sera using cryoEM

This paper develops a method to discover monoclonal antibodies directly from immune sera using cryoEM and computational tools, significantly speeding up the process and improving accuracy.

Cell Line Development for Bispecific Antibodies: Better Predictability Through Transposases

This paper shows that using the Leap-In transposon platform improves predictability in developing bispecific antibody-producing cell lines by enabling stable pools with predictable productivity and heterodimer fractions.

The Therapeutic Nanobody Profiler: characterising and predicting nanobody developability to improve therapeutic design

The paper introduces TNP, a computational tool for predicting nanobody developability, calibrated with clinical-stage sequences and experimental data.

deepNGS Navigator: Exploring antibody NGS datasets using deep contrastive learning

deepNGS Navigator uses deep contrastive learning to visualize and analyze antibody sequence datasets, revealing clonal relationships and evolutionary patterns.

Reinforcement Learning for Antibody Sequence Infilling

This paper introduces a reinforcement learning framework for antibody sequence design that improves biophysical properties using infilling models and online learning strategies.

NanoDesigner: Resolving the complex-CDR interdependency with iterative refinement

NanoDesigner improves de novo nanobody design success rates by iteratively refining docking and CDR generation using an expectation maximization algorithm.

A low-dose immunotherapy targeting Fc-gamma Receptors and Heparan Sulfate Proteoglycan to impact myeloid cells and control tumor growth in cancers with varying immunosuppressive profiles

LICHEN: Light-chain Immunoglobulin sequence generation Conditioned on the Heavy chain and Experimental Needs

LICHEN generates light-chain antibody sequences conditioned on heavy chains and experimental needs, producing valid, diverse, and functional sequences.

Rapid Antibody Fragment Production and Binding Analysis Using Cell-Free Protein Synthesis Combined with Fluorescence Correlation Spectroscopy

This paper develops a cell-free protein synthesis method combined with FCS to rapidly produce and characterize antibody fragments, showing improved solubility and binding analysis.

Development of high-affinity, single-domain protein binders for neutralizing household allergens

This study develops and characterizes AVA, single-domain protein binders that neutralize major household allergens from cats, dogs, and dust mites.

Conversion of an agonistic anti-TNFR2 biparatopic antibody into an antagonist by insertion of peptide linkers into the hinge region

The paper converts an agonistic anti-TNFR2 biparatopic antibody into an antagonist by inserting peptide linkers into the hinge region, altering its immunocomplex formation.

A novel sweeping antibody exhibits efficient clearance of the cancer- and autoimmunity-associated cytokine interleukin 16

This study develops sweeping antibodies against IL-16, showing improved antigen clearance compared to conventional antibodies.

Conserved heavy/light contacts and germline preferences revealed by a large-scale analysis of natively paired human antibody sequences and structural data.

PairedAbNGS pools 58 single-cell bioprojects of natural paired human and mouse antibodies, revealing heavy/light V gene pairing biases beyond usage frequencies and conserved CDR3-FWR2 inter-chain contacts.

Computational design of a single-domain antibody that specifically recognizes WT1 peptide-loaded class I MHC

This paper computationally designs and experimentally validates a single-domain antibody that specifically recognizes a WT1 peptide-loaded class I MHC complex with high affinity and specificity.

AlphaBind, a Domain-Specific Model to Predict and Optimize Antibody-Antigen Binding Affinity

AlphaBind predicts and optimizes antibody-antigen binding affinity using a domain-specific model trained on quantitative binding data.

A Supramolecular Self-assembly Approach to Site-Specific Antibody Conjugates via a Coiled-coil Peptides Platform

This paper introduces a supramolecular self-assembly method for site-specific antibody conjugation using coiled-coil peptides, demonstrating improved uniformity and efficacy in targeting HER2+ tumors.

Functional screening of TCR-like antibodies for targeted cancer immunotherapy

This study develops a functional screening method to identify TCR-like antibodies targeting tumor neoantigens, demonstrating their anti-tumor efficacy in vitro and in vivo.

Tuning antibody stability and function by rational designs of framework mutations

This study designs framework mutations in antibodies to improve stability and function using a computational-experimental approach, showing that FW modifications can affect immunological functions beyond binding affinity.

Chimeric Immunoglobulin and human Immunoglobulin M structures provide insights on joining-chain independent assembly and function

The paper reports cryo-EM structures of chimeric and human IgM, revealing structural insights into JC-free pIgM assembly and demonstrating antigen-targeting potential for disease prevention.

Zero-shot antibody design in a 24-well plate

This paper introduces Chai-2, a model that designs antibodies with a 16% hit rate, achieving success in 50% of targets without prior binders, and enables rapid validation in under two weeks.

Structural basis for bispecific antibody design: arrangement of domain linkage produces activity enhancement

This study determines the cryo-EM structures of two bispecific antibody types and shows that domain linkage rearrangement leads to activity enhancement by altering complex shape and dynamics.

Understanding Antibody-Target Antigen Interactions and the Avidity Effect Using Mathematical Modelling

This study develops a mathematical model to analyze how antibody-antigen interactions affect mAb potency, efficacy, and the avidity effect.

Fast, accurate parsing of antibody structures and antibody-antigen interactions enables a comprehensive structural antibody database

The paper introduces SAAINT-parser, a tool for extracting antibody and antibody-antigen interaction data from PDB, resulting in SAAINT-DB, which offers more accurate and comprehensive data than existing databases.