Bruce A. Posner

Regulatory network hubs guide dynamic human lineage specification

The paper identifies dynamic regulatory network hubs in human lineage specification using Perturb-Seq and constructs a deep learning model to predict perturbed TFs in patient transcriptomes.

A Computational Workflow for Structure-Guided Design of Potent and Selective Kinase Peptide Substrates

This paper introduces Subtimizer, a computational pipeline for designing potent and selective kinase peptide substrates using AI tools, showing improved activity and selectivity in tested kinases.

Benchmarking and optimizing Perturb-seq in differentiating human pluripotent stem cells

This study benchmarks and optimizes Perturb-seq in human pluripotent stem cells, identifying shared regulatory networks during cardiomyocyte differentiation.

Identification of BET Inhibitors (BETi) Against Solitary Fibrous Tumor (SFT) Through High-Throughput Screening (HTS)

This study identifies BET inhibitors Mivebresib and BMS-986158 as effective anti-SFT agents through high-throughput screening and preclinical models.

Identification of α-azacyclic acetamide-based inhibitors of P. falciparum Na+ pump (PfATP4) with fast-killing asexual blood-stage antimalarial activity by phenotypic screening

This study identifies new antimalarial compounds targeting PfATP4 through phenotypic screening, showing fast-killing activity and resistance patterns consistent with PfATP4 inhibition.

Select azo compounds post-translationally modulate HTRA1 abundance and activity potentially through interactions at the trimer interface

This paper identifies specific azo compounds that enhance HTRA1 abundance but have varying effects on its activity, suggesting potential therapeutic applications for diseases like AMD.

Synergistic and antagonistic drug interactions are prevalent but not conserved across acute myeloid leukemia cell lines

This study investigates drug-drug interactions in AML cell lines, finding widespread but non-conserved synergistic and antagonistic effects across different cell lines.

Attention Guided Mechanism Interpretable Drug-Gene Interaction (MIDI) Modeling for Cancer Drug Response Prediction and Target Effect Explanation

This paper introduces MIDI, a model that predicts cancer drug response and explains drug-target interactions using an attention mechanism, outperforming existing methods in prediction and interpretability.

Covalent inhibition of the SARS-CoV-2 NiRAN domain via an active-site cysteine

The paper identifies NCI-2, a covalent inhibitor of the SARS-CoV-2 NiRAN domain, and presents a structural blueprint for drug design.

GSK3 inhibition reduces ECM production and prevents age-related macular degeneration-like pathology

The paper shows that GSK3 inhibition reduces fibulin-3 production and prevents AMD-like pathology in a mouse model of ML/DHRD.