{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Feng S"],"funding":["NLM NIH HHS","National Institutes of Health"],"pagination":["104316"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8435027"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["247"],"pubmed_abstract":["Metaproteomics is becoming widely used in microbiome research for gaining insights into the functional state of the microbial community. Current metaproteomics studies are generally based on high-throughput tandem mass spectrometry (MS/MS) coupled with liquid chromatography. In this paper, we proposed a deep-learning-based algorithm, named DeepFilter, for improving peptide identifications from a collection of tandem mass spectra. The key advantage of the DeepFilter is that it does not need ad hoc training or fine-tuning as in existing filtering tools. DeepFilter is freely available under the GNU GPL license at https://github.com/Biocomputing-Research-Group/DeepFilter. SIGNIFICANCE: The identification of peptides and proteins from MS data involves the computational procedure of searching MS"],"journal":["Journal of proteomics"],"pubmed_title":["Deep learning for peptide identification from metaproteomics datasets."],"pmcid":["PMC8435027"],"funding_grant_id":["R15 LM013460"],"pubmed_authors":["Sterzenbach R","Guo X","Feng S"],"additional_accession":[]},"is_claimable":false,"name":"Deep learning for peptide identification from metaproteomics datasets.","description":"Metaproteomics is becoming widely used in microbiome research for gaining insights into the functional state of the microbial community. Current metaproteomics studies are generally based on high-throughput tandem mass spectrometry (MS/MS) coupled with liquid chromatography. In this paper, we proposed a deep-learning-based algorithm, named DeepFilter, for improving peptide identifications from a collection of tandem mass spectra. The key advantage of the DeepFilter is that it does not need ad hoc training or fine-tuning as in existing filtering tools. DeepFilter is freely available under the GNU GPL license at https://github.com/Biocomputing-Research-Group/DeepFilter. SIGNIFICANCE: The identification of peptides and proteins from MS data involves the computational procedure of searching MS","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Sep","modification":"2026-05-08T11:18:10.264Z","creation":"2025-04-05T23:23:54.287Z"},"accession":"S-EPMC8435027","cross_references":{"pubmed":["34246788"],"doi":["10.1016/j.jprot.2021.104316"]}}