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Journal Article
Yanyan Zhu and others
Database, Volume 2025, 2025, baaf070, https://doi.org/10.1093/database/baaf070
Published: 31 October 2025
Journal Article
Marziyeh Mousazadeh and others
Database, Volume 2025, 2025, baaf042, https://doi.org/10.1093/database/baaf042
Published: 31 October 2025
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Published: 31 October 2025
Figure 1. Schematic diagram of Cys-PTMs involved in ROS-related activities: ROS scavenging (—|) and ROS producing (→).
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Published: 31 October 2025
Figure 6. Heatmap of four different ROS-related categories in taxonomic groups based on domain [ 84 , 85 ].
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Published: 31 October 2025
Figure 8. Distribution of disease categories (based on disease anatomy) in this database. Numbers of entries in each category are shown.
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Published: 31 October 2025
Figure 5. Tools of InTxDB. (A) Diamond tool: Provides sequence alignment capabilities with customizable parameters, allowing users to analyse and download alignment results. (B) HPInet Prediction tool: Predicts bacterial effector–host interactions based on sequence data or predefined PPI lists, generating net
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Published: 31 October 2025
Figure 3. LCDD interface—advanced search.
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Published: 31 October 2025
Figure 4. Data statistics for cell organelles. ‘Not reported’ sub-cellular location, termed here as a separate category is not shown.
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Published: 31 October 2025
Figure 7. Distribution of enzyme classes in this database. Numbers of entries in each category are shown. The reactions catalysed by the respective enzyme classes are shown on the right-hand side.
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Published: 31 October 2025
Figure 11. Database example output against the query—UniProt ID: ‘P00445’; returned in a tabular format (upper panel). Cytoscape-generated interactome image (lower panel).
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Published: 31 October 2025
Figure 2. InTxDB database home page and statistics of datasets.
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Published: 31 October 2025
Figure 4. LCDD interface—search results.
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Published: 31 October 2025
Figure 7. The statistics of using liposomal carriers for (A) therapeutic, (B) diagnostic, and (C) theranostic applications (NR denotes ‘not reported’).
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Published: 31 October 2025
Figure 8. The statistics of the most frequently used cargoes based on their types, including (A) chemical compounds, (B) lipid compounds, (C) nanoparticles, (D) nucleic acids, and (E) proteins and peptides.
Journal Article
Sharayu Ghodeswar and Debashree Bandyopadhyay
Database, Volume 2025, 2025, baaf069, https://doi.org/10.1093/database/baaf069
Published: 31 October 2025
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Published: 31 October 2025
Figure 2. Flowchart of ROSBase curation.
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Published: 31 October 2025
Figure 3. Workflow (integrating backend and frontend) of ROSBase1.0 webserver.
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Published: 31 October 2025
Figure 5. The taxonomic classification of the database. Numbers of entries in each category are shown.
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Published: 31 October 2025
Figure 9. (a) Disease categories per protein entry (UniProt ID). (b) Pie chart representation of each disease category and corresponding UniProt IDs.
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Published: 31 October 2025
Figure 10. Interactome around Tp53, (a) derived from the STRING network and (b) regulatory pathways of Tp53; inhibition (—|) and interaction (→).