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arXiv · 2506.10134

FAPS: A Fast Platform for Protein Structureomics Analysis

Abstract

Protein quantification and analysis are well-accepted approaches for biomarker discovery but are limited to identification without structural information. High-throughput omics data (i.e., genomics, transcriptomics, and proteomics) have become pervasive in cancer biology studies and reach well beyond more specialized areas such as metabolomics, epigenomics, pharmacogenomics, and interact-omics. However, large-scale analysis based on the structure of the biomolecules, namely structure-omics, is still underexplored due to a lack of handy tools. In response, we developed the Fast Analysis of Protein Structure (FAPS) database, a platform designed to advance quantitative proteomics to structure-omics analysis, which significantly shortens large-scale structure-omics from weeks to seconds. FAPS can serve as a new protein secondary structure database, providing a centralized and functional database for both simulated and experimentally determined bioinformatics statistics relating to secondary structure. Stored data is generated both through the structure simulation, currently SWISS-MODEL and AlphaFold, performed by high-performance computers, and the pre-existing UniProt database. FAPS provides user-friendly features that create a straightforward and effective way of accessing accurate data on the proportion of secondary structure in different protein chains, providing a fast numerical and visual reference for protein structure calculations and analysis. FAPS is accessible through http://fapsdb.org.

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Lucas Wilken, Nihjum Paul, Troy Timmerman, Sara A. Tolba, Amara Arshad, Di Wu, Wenjie Xia, Bakhtiyor Rasulev, Rick Jansen, Dali Sun. 2025-06-11. FAPS: A Fast Platform for Protein Structureomics Analysis. https://arxiv.org/abs/2506.10134

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