Matthew Greenig

Deep learning assessment of nativeness and pairing likelihood for antibody and nanobody design with AbNatiV2

This paper introduces AbNatiV2 and p-AbNatiV2, deep learning models for assessing nativeness and pairing likelihood in antibodies and nanobodies, showing improved performance on held-out tests.

Engineering armoured in vivo CAR T cells through targeted delivery and transient mRNA gating

This paper develops an in vivo CAR T cell platform using lipid nanoparticles and T-trex strategy to enhance safety, efficacy, and tumor control.

Disulphide and sequence-encoded conformational priors guide nanobody structure prediction

This paper introduces NbForge, a nanobody folding model that improves prediction of HCDR3 blueprint and disulphide bonds, achieving accuracy comparable to large predictors with faster speed.

Improving nanobody structure prediction with self-distillation

This study improves nanobody structure prediction by using synthetic data and a classifier to filter structural accuracy, achieving better results than existing methods with lower computational cost.

Drug-like antibody design against challenging targets with atomic precision

This paper introduces a computational antibody design platform that generates drug-like antibodies with high developability and atomic accuracy, demonstrating its utility for challenging therapeutic targets.

BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML

BioML-bench evaluates AI agents on end-to-end biomedical ML tasks across four domains, finding agents underperform compared to humans and diverse ML strategies correlate with higher scores.

A single-cell transposable element atlas of human cell identity

This study develops a tool to analyze transposable element expression in single-cell RNA sequencing data and builds an atlas showing TEs delineate cell types in human PBMCs.

Development of potent humanized TNFα inhibitory nanobodies for therapeutic applications in TNFα-mediated diseases

This study develops and characterizes humanized TNFα inhibitory nanobodies with picomolar potency and low immunogenicity for therapeutic use in TNFα-mediated diseases.

NewroBus for the brain: humanized TfR1-targeting nanobodies with high BBB permeability and cargo transport capacity

This paper develops humanized TfR1-targeting nanobodies (NewroBus) that cross the BBB and deliver therapeutic payloads to the CNS.

Protein Sequence Modelling with Bayesian Flow Networks

This paper introduces ProtBFN, a Bayesian Flow Network for protein sequence generation, which outperforms existing models and is fine-tuned for antibody generation.

Highly potent novel multi-armoured IL13Rα2 CAR-T subverts the immunosuppressive microenvironment of Glioblastoma

This paper develops a novel CAR-T cell therapy for glioblastoma that overcomes immunosuppression and improves persistence through a multi-armoured design.