PeerJ (Oct 2024)

FastProtein—an automated software for in silico proteomic analysis

  • Renato Simões Moreira,
  • Vilmar Benetti Filho,
  • Guilherme Augusto Maia,
  • Tatiany Aparecida Teixeira Soratto,
  • Eric Kazuo Kawagoe,
  • Bruna Caroline Russi,
  • Luiz Cláudio Miletti,
  • Glauber Wagner

DOI
https://doi.org/10.7717/peerj.18309
Journal volume & issue
Vol. 12
p. e18309

Abstract

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Although various tools provide proteomic information, each tool has limitations related to execution platforms, libraries, versions, and data output format. Integrating data generated from different software is a laborious process that can prolong analysis time. Here, we present FastProtein, a protein analysis pipeline that is user-friendly, easily installable, and outputs important information about subcellular location, transmembrane domains, signal peptide, molecular weight, isoelectric point, hydropathy, aromaticity, gene ontology, endoplasmic reticulum retention domains, and N-glycosylation domains. It also helps determine the presence of glycosylphosphatidylinositol and obtain functional information from InterProScan, PANTHER, Pfam, and alignment-based annotation searches. FastProtein provides the scientific community with an easy-to-use computational tool for proteomic data analysis. It is applicable to both small datasets and proteome-wide studies. It can be used through the command line interface mode or a web interface installed on a local server. FastProtein significantly enhances proteomics analysis workflows by producing multiple results in a single-step process, thereby streamlining and accelerating the overall analysis. The software is open-source and freely available. Installation and execution instructions, as well as the source code and test files generated for tool validation, are available at https://github.com/bioinformatics-ufsc/FastProtein.

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