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Published: 12 February 2026
Figure 3 Dynamic, interactive tables displaying neomer profiles across genes and cancer types. (A) Conceptual overview of the neomerDB database interface. Coloured cursor symbols match the colour of their corresponding outlined view. (B–C) Interactive table and customizable query interfaces for (B) neomers a
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Published: 12 February 2026
Figure 4 Interface of the visualizations offered by neomerDB. (A) Pie chart displaying the number of neomers identified per cancer type and (inset) across different k -mer lengths for a specific cancer type. (B) Heatmap displaying the Jaccard similarity index values representing the overlap between neomer s
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Published: 12 February 2026
Figure 5 Performance of neomer biomarkers in cfDNA and cfRNA from liquid biopsies for glioblastoma detection. (A–B) Unique neomer counts and total neomer counts found in (A) cfDNA (Mann–whitney U- test, P -value = .27, .002) and (B) cfRNA (Mann–Whitney U -test, P -value = .002, .007). (C) ROC-AUC curves
Journal Article
Kimonas Provatas and others
Database, Volume 2026, 2026, baag006, https://doi.org/10.1093/database/baag006
Published: 12 February 2026
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Published: 12 February 2026
Figure 1 Overview of neomerDB. The database integrates neomers derived from two different approaches: (1) 2658 whole genome sequencing tumour-normal paired samples and (2) 10 000 whole exome sequencing tumour-normal paired samples. Neomers identified from germline variants, from 76 215 whole genomes and 730 
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Published: 12 February 2026
Figure 2 Statistics of neomerDB. (A) Sankey plot depicting the flow of exome neomers across 26 organs, 26 cancer types, and 16 variant classifications. Results are shown for neomers of 16 bp. In parentheses next to the tissue type, cancer type, and mutation category, the total number of nullomers detected is
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Published: 09 February 2026
Figure 2 Usage of ProteoformDB. (A) On the ‘Information Search’ page, users can perform the search of proteoforms and genes through multiple keywords search or batch search. The search results provide access to gene and proteoform information pages, allowing users to explore detailed information. Additionall
Journal Article
Hanwen Luo and others
Database, Volume 2026, 2026, baag005, https://doi.org/10.1093/database/baag005
Published: 09 February 2026
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Published: 09 February 2026
Figure 1 Framework overview of ProteoformDB. (A) Basic data of ProteoformDB include data from genes to proteoforms, Clusters of Orthologous Groups, domain–domain interactions, post-translational modifications, intrinsically disordered regions, and proteoform-disease associations. The data storage is powered
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Published: 09 February 2026
Figure 3 Functional consistency and divergence profiles across species. The bar plot displays the proportion of proteoforms of genes exhibiting consistent versus divergent functions for 30 representative species selected from the extremities and mid-range of the functional divergence spectrum. Species are gr
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Published: 02 February 2026
Figure 1. predicTox homepage. A screenshot of the homepage, which provides searchable DrugTox summary cards and gene summary Cards. The homepage also provides clickable links to various pages that list data sets and other downloadable materials.
Journal Article
Jens Hansen and others
Database, Volume 2026, 2026, baag003, https://doi.org/10.1093/database/baag003
Published: 02 February 2026
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Published: 02 February 2026
Figure 2. DrugTox summary card for pazopanib. DrugTox summary cards provide a concise summary of the drug class, its cardiotoxic potential from FAERS ranking and literature summary, ranked list of genes and pathways affected by the drug in the indicated human iPSC cardiomyocyte lines and potential genomic var
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Published: 02 February 2026
Figure 3. Pathways predicted to be associated with TKI-induced cardiotoxicity. (A) The top 25 up- and downregulated pathways that were predicted to be associated with TKI-induced cardiotoxicity can be queried on the ‘Drug-induced pathways associated with cardiotoxicity’ page. This page can be opened by select
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Published: 02 February 2026
Figure 4. Genomic variants that are potentially associated with a drug’s cardiotoxicity by interfering with the drug’s PD or PK. Note that some genomic variants can map to multiple genes. This page can be opened by selecting the ‘Bulk transcriptomic datasets—Metadata’ button on the main page, and then ‘Predic
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Published: 23 January 2026
Figure 1 Schematic representation of four cysteine PTMs described in the CysDuF database.
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Published: 23 January 2026
Figure 6 Schematic representations of Cys-PTMs in different pathways curated from literature, (a) ETC, (b) Fe–S cluster biogenesis, (c) glutathione biosynthesis, (d) fatty acid biosynthesis, (e) Kreb’s cycle, (f) pentose phosphate pathways. The amino acids and protein structures were depicted using VMD softw
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Published: 23 January 2026
Figure 11 Web application for (a) DeepCys—structure-based prediction tool and (b) CysDUF database.
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Published: 23 January 2026
Figure 2 Steps of DUF data curation. (i) Extract and download a list of PFAM ID/DUF ID/SCOPe ID using search criteria, (a) pathway names and (b) catalytic cysteines [ 6, 7 ] (ii) filter the downloaded list using SCOPe superfamily resulting enzyme names from 7 biochemical pathways studied here; (iii) search S
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Published: 23 January 2026
Figure 3 Depiction of cysteine (Cys 22), part of a disulfide bridge (PDB ID:8PCH). Protein microenvironment (4.5 Å radius) around Cys22 is depicted, in stick representation. The protein background is shown as cartoon representation. The figure was generated using VMD software.