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.

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Institutions

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

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article

FastProtein—an automated software for in silico proteomic analysis

Luiz Cláudio Miletti, Glauber Wagner, Guilherme Augusto Maia, Tatiany Aparecida Teixeira Soratto et al.
3 citations
PeerJ
Advanced Proteomics Techniques and Applications
0.72
article

FastProtein—an automated software for in silico proteomic analysis

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

Abstract

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.

PeerJVol. 12
Universidade do Estado de Santa Catarina (BR), Universidade Federal de Santa Catarina (BR), Instituto Federal de Educação, Ciência e Tecnologia de Santa Catarina (BR)
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
Openalex Percentile: Top 33%
Advanced Proteomics Techniques and Applications
0.72
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