Proteomics

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ThermoTargetMiner: Proteome Integral Solubility Alteration (PISA) target database for prospective lung cancer drug candidates

ABSTRACT: Knowledge of the targets of therapeutic compounds helps understanding the compound action mechanism as well as the side-effects. The multiple complementary techniques needed for comprehensive target characterization must combine data reliability with sufficient analysis throughput. Here, we test the Proteome Integral Solubility Alteration (PISA) assay by target identification of 67 approved anticancer drugs and candidates against pulmonary carcinoma.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cell Culture

SUBMITTER: Hezheng Lyu  

LAB HEAD: Roman Zubarev

PROVIDER: PXD054158 | Pride | 2026-06-08

REPOSITORIES: Pride

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Publications

Peptide-to-Protein Data Aggregation Using Fisher's Method Improves Target Identification in Chemical Proteomics.

Lyu Hezheng H   Gharibi Hassan H   Meng Zhaowei Z   Sokolova Bohdana B   Lundström Susanna S   Zhang Xuepei X   Zubarev Roman A RA  

Analytical chemistry 20260422 17

Protein-level statistical tests in proteomics, aimed at obtaining p-values, are conventionally made on protein abundances aggregated from peptide data. This integral approach overlooks peptide-level heterogeneity and ignores important information coded in individual peptide data, while protein p-values can also be obtained by Fisher's method of combining peptide p-values using chi-square statistics. Here, we test this latter approach across diverse chemical proteomics data sets based on assessme  ...[more]

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