Monoclonal and Polyclonal Antibodies Research

This study demonstrates how ssDNA recombineering in bacteria enables hyper-diversification of nanobodies, resulting in variants that recognize new antigens while retaining original specificity.

The paper identifies and characterizes the diversity of antibody upstream sequences (AUS) across multiple species using Rep-Seq and 5RACE, revealing new variants and their implications for antibody biology.

The paper compares BLAST and Clustal-X alignments of monoclonal antibody light and heavy chains to assess sequence homology and identify conserved regions.

The paper identifies and characterizes anti-TREM2 scFv antibodies that inhibit soluble TREM2 production.

The paper evaluates novel allele detection tools using simulated and real antibody repertoire sequencing data and identifies 43 novel alleles.

This paper develops photocaged nanobodies for in vivo applications using genetic code expansion and computational methods to control protein interactions with light.

This paper introduces light-controllable antibody mimetics, moonbody and sunbody, enabling rapid and reversible antigen recognition and precise control of cellular processes using light.

The paper introduces a computational pipeline for antibody humanization that uses VH-VL binding energy sorting to optimize humanized antibodies and validates it against experimental data.

The paper analyzes antibody sequences from patents to assess their utility for therapeutic antibody engineering and finds they reflect clinical sequences.

The paper introduces a method to identify novel cross-clonotype antibodies by clustering based on predicted paratope features, validated on a Pertussis toxoid dataset.

The paper investigates how varying signal peptides and amino acid counts affect recombinant antibody production rates in HEK293 cells, developing a predictive model for transient production.

BASE is a software tool for analyzing single-cell immunoglobulin cloning data, providing automated analysis with high accuracy and additional plasmid sequence confirmation.

The paper investigates the interaction of rhTNF with Adalimumab and Etanercept, revealing new binding patterns and stoichiometry of their complexes.

AncesTree provides an interactive GUI for visualizing immunoglobulin lineage trees and mutations derived from Phylip analysis of antibody repertoires.

This paper develops a machine learning pipeline to predict antibody developability from sequence, achieving high sensitivity and specificity on a dataset of 2400 antibodies.

The paper designs tetravalent anti-sperm IgGs with enhanced agglutination potency compared to the parent IgG, while maintaining production yields and thermostability.

The paper engineers multivalent IgG antibodies that agglutinate sperm more potently than monovalent IgGs, achieving high contraceptive efficacy in sheep.

The paper develops PETAL, a library of 62,208 mAbs against 15,199 peptides, enabling proteome-scale antibody generation and target discovery across species.

This paper describes an engineered nanobody that modulates GFP binding with small molecules, enabling controlled study of GFP fusion proteins in biological processes.

The paper analyzes the structure and sequence of the antibody DE loop, revealing its role in antigen binding and its variability in HIV-1 antibodies.

cAb-Rep is a curated database of human B cell immunoglobulin sequence repertoires, providing annotated datasets for studying antibody diversity and prevalence.

The paper compares therapeutic antibodies to NGS-derived antibody sequences to identify sequence matches and convergence between natural and artificial antibody development.

Mammalian display of CRISPR-introduced trastuzumab mutant libraries trains a network that picks antigen binders out of a hundred-million-variant virtual library; 30 of 30 tested variants bound.

The paper develops and validates a set of nanobodies for targeting proteins in brain neurons, providing a toolbox for visualization and modulation of subcellular sites.

The paper describes a method to generate and validate recombinant monoclonal antibodies for neuroscience research, enabling multiplex immunolabeling of brain tissue.

The paper introduces RANbodies, nanobody-reporter fusions that enable sensitive and scalable detection of molecules in cells and tissues.

This paper introduces a PCR-free NGS approach and software (DEAL) to accurately estimate antibody library diversity by accounting for sequencing errors.