Yang Lu

Representation-aware calibration enables statistically reliable protein structure search

Struct-Caliper improves protein structure search reliability by providing accurate p-values, increasing homolog recovery and reducing false discoveries compared to native E-values.

DarHTG is a tripartite phage defence system for purine DNA base ADP-ribosylation

The paper describes DarHTG, a bacterial phage defense system that ADP-ribosylates double-stranded DNA using a helicase co-toxin, and identifies two subclasses with distinct target bases.

An Integrated Experimental and Informatics Strategy Enables Large Proteoform Identification in Top-Down Proteomics

The paper presents an integrated experimental and informatics strategy to improve identification of large proteoforms in top-down proteomics, achieving identification of proteoforms up to 223 kDa.

Photothermal Recycling Biosensing for Continuous, Sensitive Molecular Quantification

This paper introduces a photothermal recycling biosensing method for continuous, sensitive molecular quantification in complex biological fluids.

Near-Zero Missed Cleavages with a High-Fidelity Recombinant Arg-C Zero for Mass Spectrometry-Based Proteomics

This paper introduces Arg-C Zero, a high-fidelity protease with near-zero missed cleavages, demonstrating its utility in proteomics, especially for analyzing post-translational modifications.

Multi-omics analysis of the potential of MACC1 as a biomarker and therapeutic target for colonic adenocarcinoma

This study analyzes MACC1 expression and its associations in colonic adenocarcinoma using public datasets, suggesting it as a potential biomarker and therapeutic target.

A FRET-based high-throughput screening assay for the discovery of Mycobacterium tuberculosis DNA ADP-ribosylglycohydrolase DarG inhibitors

This paper develops a FRET-based high-throughput screening assay to identify DarG inhibitors in M. tuberculosis and identifies pranlukast as a selective inhibitor.

Human DDIT4L intron retention contributes to cognitive impairment and amyloid plaque formation.

This study identifies DDIT4L intron retention (DIR) as a contributor to cognitive impairment and amyloid plaque formation in Alzheimer's disease through interactions with gelsolin and GluA1.

Reducing peptide sequence bias in quantitative mass spectrometry data with machine learning

This paper introduces a deep learning model to reduce sequence-specific biases in quantitative mass spectrometry data, improving correlation with mRNA expression.