Victor Spicer

Papers

Total Citations

287

H-Index

About

Victor Spicer has made foundational contributions to computational proteomics, particularly in the prediction of peptide retention times for liquid chromatography–mass spectrometry (LC-MS). His landmark 2004 paper, "An Improved Model for Prediction of Retention Times of Tryptic Peptides in Ion Pair Reversed-phase HPLC," has garnered 287 citations, establishing a widely used framework for modeling peptide behavior in HPLC separations. By analyzing 346 tryptic peptides across a 560–4,000 Da mass range from 17 protein digests, Spicer developed a summation-based model that significantly improved the accuracy of retention time predictions, enabling more reliable peptide identification in high-throughput proteomics workflows. This work has been instrumental in advancing bottom-up proteomics, where precise retention time modeling enhances the confidence of protein identifications. Spicer’s research sits at the intersection of analytical chemistry and bioinformatics, and his model remains a cornerstone for researchers developing predictive algorithms in LC-MS. His contributions have directly supported large-scale proteomic studies, making him a key figure in the evolution of computational tools for mass spectrometry-based protein analysis.