Somar Khalil

This study benchmarks DDA and DIA acquisition modes on the Orbitrap Astral for HCP quantification, finding DIA offers better coverage and sensitivity for low-abundance proteins.

This paper validates label-free untargeted proteomics for HCP quantification in biotherapeutics using ICH Q2(R2) total-error approach, showing high accuracy and precision across multiple assays and platforms.

The paper quantifies transcriptional retention in solid tumors using Tissue Memory Score (TMS) and shows it predicts survival in clear cell renal cell carcinoma (ccRCC).

This study benchmarks six MS/MS search algorithms for label-free shotgun proteomics of host-cell proteins using trapped ion mobility and ddaPASEF, identifying performance differences in sensitivity, accuracy, and bias.