Chenlin Lu

This paper benchmarks decision strategies for protein engineering, showing when models and measurements improve decisions based on accumulated evidence.

PFNet calculates residue-level free energy of opening from HX/MS data, enabling scalable and accessible protein stability analysis.

This study resolves a long-standing discrepancy between the structural and functional properties of PFK by showing how activator and inhibitor binding differentially reweights its conformational ensemble.

The paper decodes energetic blueprints of conserved protein folds to explain functional diversity and enables engineered transcription factors with ligand-driven responses.

The paper introduces HXMS, a standardized file format for HX-MS data, and provides PFLink to convert existing data to this format, enhancing data processing and sharing.

BiGAT-Fusion improves drug-disease association prediction by addressing class imbalance, directional asymmetry, and static feature fusion through a novel graph neural network model.

NanoHIVSeq is a UMI-free pipeline for processing HIV Env sequences from ONT data, achieving high accuracy and efficiency in variant recovery.

This paper introduces PIGEON-FEATHER, a method to calculate free energies of protein conformational ensembles from HX/MS data, revealing evolutionary differences in enzyme inhibitors and ligand-induced reweighting in a protein-DNA complex.