FastProtein—an automated software for <i>in silico</i> proteomic analysis
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.
Authors
- Luiz Cláudio Miletti (ORCID: https://orcid.org/0000-0001-5926-0286)
- Glauber Wagner (ORCID: https://orcid.org/0000-0001-5003-6595)
- Guilherme Augusto Maia (ORCID: https://orcid.org/0000-0001-6000-1361)
- Tatiany Aparecida Teixeira Soratto
- Eric Kazuo Kawagoe (ORCID: https://orcid.org/0000-0002-1546-8963)
- Renato Simões Moreira (ORCID: https://orcid.org/0000-0002-4246-8045)
- Vilmar Benetti Filho (ORCID: https://orcid.org/0000-0003-0309-4877)
- Bruna Caroline Russi (ORCID: https://orcid.org/0009-0006-7922-3849)
Institutions
- Universidade do Estado de Santa Catarina (BR)
- Universidade Federal de Santa Catarina (BR)
- Instituto Federal de Educação, Ciência e Tecnologia de Santa Catarina (BR)
Publication Details
- Journal
- PeerJ
- Published
- 2024-10-31
- DOI
- https://doi.org/10.7717/peerj.18309
- Citations
- 3
- Primary Topic
- Advanced Proteomics Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.72
Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina
- Universidade Federal de Santa Catarina