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Journal Article
Biniam Haile and others
Database, Volume 2026, 2026, baag001, https://doi.org/10.1093/database/baag001
Published: 27 April 2026
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Published: 27 April 2026
Figure 2. MOKCa-3D overall architectural design. This figure shows the overview of the MOKCa-3D platform architecture, consisting of MySQL relational database for mutation and annotation data, a Django backend for data processing and API endpoints to deliver data, and ReactJS front-end for interactive visuali
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Published: 27 April 2026
Figure 4. Searching MOKCa-3D. This figure shows an example of use, analysing mutations in KRAS. (A) Gene search page—users begin by querying a gene of interest. (B) Gene-level view (example: KRAS)—displays functional annotations (GO terms) and a filterable mutation list. (C) Mutation-level view (example: G12V
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Published: 27 April 2026
Figure 1. MOKCa-3D data processing workflow. This figure shows the overall workflow consisting of four major components. (A) Mutations data processing—collection, filtering, normalization, and mapping of cancer associated mutations from TCGA and UniProt, (B) structural impact analysis—mapping mutations onto 3
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Published: 27 April 2026
Figure 3. MOKCa-3D web interface. This figure shows user interface for gene-based queries to explore cancer-associated mutations or browse set of genes (Oncogene, Tumour-Suppressor, Protein-kinase, Drug-Target genes, DNA damage response proteins). For image description, please refer to the figure legend an
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Published: 16 April 2026
Figure 1 Framework overview of TCMToxDB. (A) The basic data of TCMToxDB include basic information of formula, herbs, ingredients, targets, formula–herb interactions, herb–ingredient interactions, herb–target interactions, and ingredient–target interactions, the data storage is powered by MySQL. (B) Data brow
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Published: 16 April 2026
Figure 2 Usage of TCMToxDB. (A) Herbs can be searched via keywords such as Chinese Pinyin, Chinese characters, and Latin names. (B) Browse herb information, and click on pie fan leaf to view different types of data. (C) The summary panel on the detail page shows descriptive information for the formula, herb,
Journal Article
Sabiha Parween and others
Database, Volume 2026, 2026, baag020, https://doi.org/10.1093/database/baag020
Published: 16 April 2026
Journal Article
Yongzheng Zhu and others
Database, Volume 2026, 2026, baag019, https://doi.org/10.1093/database/baag019
Published: 16 April 2026
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Published: 16 April 2026
Figure 1 Overview of the Desert Plant Endophyte Genome Database architecture. The database is organized around genome-centric records, integrating assembly statistics, ecological metadata, functional annotations, and PGPT profiles. The main navigation includes a home page with summary views, a quick links pa
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Published: 16 April 2026
Figure 3 (A) The target–target interaction network of toxic targets predicted by HGNA-HTI. Node size and colour correspond to their respective degree values, with larger and deeper nodes representing higher degrees. (B) and (C) illustrate the top 20 enriched KEGG pathways and GO entries with smaller FDR valu
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Published: 16 April 2026
Figure 4 Molecular docking results with the lowest binding energy between ingredient methyl eugenol and toxicity targets predicted by DrugBAN. (A) Predicted toxic targets (PLAU, PTGS2, and PHF14) of ingredient methyl eugenol by DrugBAN, (B) eugenol-PLAU, (C) methyl eugenol-PTGS2, and (D) methyl eugenol-PHF14
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Published: 11 April 2026
Figure 1 VarStack 2 uses APIs to retrieve information from COSMIC, ClinVar, cBioPortal, UCSC Genome Browser, ClinicalTrials.gov, and CIViC. An iframe was used for UCSC Genome Browser and ClinVar. VarStack2 uses APIs to retrieve information from COSMIC, ClinVar, cBioPortal, UCSC Genome Browser, ClinicalTr
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Published: 11 April 2026
Figure 1 Histogram of renal clearance values (L/h). For image description, please refer to the figure legend and surrounding text.
Journal Article
Nitin Sreekumar and others
Database, Volume 2026, 2026, baag016, https://doi.org/10.1093/database/baag016
Published: 11 April 2026
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Published: 11 April 2026
Figure 3 Histogram showing the frequency with which a particular route of administration was chosen for a drug. For image description, please refer to the figure legend and surrounding text.
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Published: 11 April 2026
Figure 2 Case study to interpret KRAS p.G12V in Colorectal Adenocarcinoma using VarStack 2 . The variant and tumour type are entered in search window (a) VarStack 2 retrieves information from (b) COSMIC, (c) ClinVar, (d) cBioPortal, (e) UCSC Genome Browser, and (f) ClinicalTrials.gov, (g) CIViC and displays
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Published: 11 April 2026
Figure 2 Categories of health status and their counts. For image description, please refer to the figure legend and surrounding text.
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Published: 11 April 2026
Figure 4 Counts of analytical methods presented in scientific articles. HPLC—high-performance liquid chromatography; LC-MS/MS—liquid chromatography–tandem mass spectrometry. For image description, please refer to the figure legend and surrounding text.
Journal Article
Natalia Łapińska and Sebastian Polak
Database, Volume 2026, 2026, baag018, https://doi.org/10.1093/database/baag018
Published: 11 April 2026