Massimiliano Gaetani

The paper introduces ThermoTargetMiner, a database that identifies protein targets of lung cancer therapeutics using the PISA assay, revealing novel targets for 77% of tested compounds.

HOLSER improves proteome coverage and depth for structural analysis of protein-ligand interactions and conformational changes.

The paper develops a transcriptomic-guided compound prioritization pipeline and validates it with proteomics, identifying two compounds that partially rescue HNRNPU deficiency phenotypes.

This paper shows ritonavir and other cytochrome P450 inhibitors reduce infectious HDV virion production by inducing oxidative stress and disrupting HBs glycoprotein biogenesis in human hepatocytes.

The paper introduces AFDIP, a chemical proteomics method that identifies drug target binding sites with high structural resolution using digestion rate analysis and MD simulations.

This study shows NUDT5 regulates the effectiveness of nucleoside analog drugs by coordinating purine synthesis and PRPP allocation through its interaction with PPAT.

The study uses a modified PISA assay to identify TNF as the antigen of infliximab among 8,000 proteins in activated monocytes, demonstrating its utility for antibody-antigen interaction analysis.

The paper introduces KISSE, a statistical framework for species identification using bone collagen tandem mass spectrometry data, which provides species identification and probability estimates.

The paper identifies TXNRD1 as a therapeutic target in KRAS-WT and KRASi-resistant lung cancers by showing TRXR1 inhibition induces ferroptosis through redox mechanisms.

This study identifies temperature as an evolutionarily conserved regulator of O-GlcNAcylation, showing that hypothermia reduces O-GlcNAc levels across species.

This paper introduces a cell-based platform to assess PROTACs targeting NUDT5, identifying a VHL-dependent degrader despite poor in vitro binding and showing CRBN-dependent degraders are ineffective.

This study shows that AER-270 and TGN-020 do not inhibit AQP4, contradicting their classification as AQP4 blockers and suggesting alternative mechanisms.

The paper introduces OPTI-PISA, a method that automates and reduces sample requirements for drug target identification, demonstrating its effectiveness in cell lysates with sub-microgram samples.

The paper introduces GAPPIS, a method to recover molecular weight information from shotgun proteomics, identifying novel caspase 3 substrates in apoptotic cells.

This study shows that ultralight Caenorhabditis elegans, grown on isotopically depleted bacteria, have shorter lifespans despite faster growth and maturation.

This study introduces a gene essentiality signature to predict drug mechanisms of action and target interactions, showing improved accuracy over existing methods.