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(2023-03-16) LastModified: 2026-04-16 09:02:37 CEST Size: 3428921 Format: PDF Version: 1.4 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 559 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: ViewerPreferences: HideToolbar: false HideMenubar: false HideWindowUI: false FitWindow: false CenterWindow: false DisplayDocTitle: false NonFullScreenPageMode: UseNone Direction: L2R ViewArea: CropBox ViewClip: CropBox PrintArea: CropBox PageClip: CropBox PageLayout: SinglePage PageMode: UseOutlines Language: en-US Outlines: Item: Title: Comprehensive protein datasets and benchmarking for liquid–liquid phase separation studies Children: Item: Title: Abstract Children: Item: Title: Background: Item: Title: Results: Item: Title: Conclusions: Item: Title: Background Item: Title: Results Children: Item: Title: Integrated dataset generation of client, driver, and potential negative proteins in LLPS Item: Title: LLPS-positive proteins and DisProt negative dataset display a similarly low proportion of ordered residues Item: Title: Physicochemical analysis of LLPS properties indicates differences between drivers, clients, and negative proteins Item: Title: Benchmarking current LLPS predictive tools with independent protein datasets Item: Title: Discussion Item: Title: Conclusions Item: Title: Methods Children: Item: Title: Filtering clients and drivers Item: Title: Obtaining unambiguous clients and unambiguous drivers Children: Item: Title: Category specificity Item: Title: Category intersection Item: Title: Generation of negative datasets Item: Title: Protein disorderorder annotation Item: Title: General protein annotation with UniProt Item: Title: Disordered-related sequential elements: IDRs and PrLDs Item: Title: Physicochemical property analysis Item: Title: Benchmark analysis Item: Title: Acknowledgements Item: Title: References Info: Title: Comprehensive protein datasets and benchmarking for liquid liquid phase separation studies Author: Carlos Pintado-Grima Subject: Genome Biology, https://doi.org/10.1186/s13059-025-03668-6 Keywords: Liquid liquid phase separation;Datasets;Integration;Driver;Client;Negative;Proteins;Disorder;Machine learning;Benchmark Creator: Adobe InDesign 15.1 (Windows) Producer: Adobe PDF Library 15.0; modified using iText® 5.5.13.4 ©2000-2024 iText Group NV (SPRINGER SBM; licensed version) CreationDate: Fri Jul 04 05:36:52 CEST 2025 ModDate: Tue Jul 08 14:03:02 CEST 2025 ID: 0xd2ae307f09393147b94df61ee7fa9896, 0xc849797865ff85fb205634933b702e38 Filters: FilterPipeline: FlateDecode FilterPipeline: DCTDecode Images: Image: NisoImageMetadata: FormatName: image/png ImageWidth: 39 ImageHeight: 40 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Intent: RelativeColorimetric Decode: 0, 255 Name: X Image: NisoImageMetadata: FormatName: image/png ImageWidth: 42 ImageHeight: 77 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Intent: 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