Related Experiment Video
Updated: May 28, 2026

Tropomodulin 3 Overexpression as a Marker for Platinum Resistance and Immune Infiltration in Ovarian Cancer
Published on: August 2, 2024
OncoSolidDB: An Oncology-Focused Curated Database of Ligand-Target Interactions for Precision Medicine Across Major
Oussema Khamessi1,2, Rihab Mahjoub1,2, Ghada Mahjoub1,2
1Laboratory of Bioinformatics, Biomathematics and Biostatistics (BIMS-LAB) (LR16IPT09), Institut Pasteur de Tunis, University of Tunis El Manar, 13 Place Pasteur, BP74, Tunis 1002, Tunisia.
Abstract:
Background/Objectives: The rapid expansion of targeted therapies has reshaped oncology by exploiting ligand-receptor interactions (LRI) to improve treatment specificity and patient outcomes. However, the data describing these ligands remain fragmented across multiple sources, limiting accessibility for researchers and clinicians. To address this gap, we developed the OncoSolidDB, the first curated and oncology-focused bioinformatics database dedicated to ligands associated with solid malignancies. Methods: OncoSolidDB integrates and harmonizes data from reliable repositories, including ChEMBL, DrugBank and the Anti-Cancer Fund, consolidating curated structural, chemical, pharmacological, and clinical annotations along with standardized identifiers. Results: The database currently encompasses 243 ligands across 15 major solid tumor types including breast, lung, colorectal, melanoma, prostate, gastric, ovarian, cervical, bladder, esophageal, head and neck, thyroid, pancreatic, renal and liver cancer (Hepatocellular Carcinoma, HCC). Each entry is annotated by standardized identifiers (DrugBank, ChEMBL), approval year, chemical structures (SMILES strings, 2D images), and downloadable protein structure files (PDB format). Temporal coverage spans 1953-2025, enabling exploration of historical trends in oncology drug approvals. The database content is suitable for bioinformatics analysis, molecular docking, virtual screening, ligand-based modeling, and drug repurposing studies. Outputs are available through a freely accessible web interface that supports search browsing by cancer type. Conclusions: By consolidating oncology-specific ligand data into a single, structured platform, OncoSolidDB offers a valuable resource for advancing drug discovery, repurposing strategies, and the rational design of next-generation targeted therapies for solid tumors. OncoSolidDB is accessible via our Bioinformatics Research PortalEinstein.
Insights
OncoSolidDB is a new bioinformatics database consolidating ligand data for solid tumors. It aids researchers in drug discovery and developing targeted cancer therapies.
Area of Science:
- Bioinformatics
- Oncology
- Drug Discovery
Background:
- Targeted therapies in oncology rely on ligand-receptor interactions (LRI).
- Data on cancer-associated ligands are fragmented across various sources.
- Limited accessibility hinders research and clinical application of LRI data.
Purpose of the Study:
- To develop OncoSolidDB, the first curated bioinformatics database for ligands targeting solid tumors.
- To centralize and harmonize fragmented ligand data for oncology research.
- To provide a comprehensive resource for advancing targeted cancer therapy development.
Main Methods:
- Integrated data from ChEMBL, DrugBank, and Anti-Cancer Fund.
- Consolidated structural, chemical, pharmacological, and clinical annotations.
- Standardized identifiers and downloadable data formats (SMILES, PDB).
Main Results:
- OncoSolidDB contains 243 ligands across 15 solid tumor types.
- Includes data from 1953-2025, enabling trend analysis.
- Web interface allows searching by cancer type, supporting various bioinformatics analyses.
Conclusions:
- OncoSolidDB provides a unified platform for oncology-specific ligand data.
- Facilitates drug discovery, repurposing, and rational design of targeted therapies.
- A valuable resource for advancing solid tumor treatment strategies.
Related Concept Videos
Targeted Cancer Therapies
There are several types of targeted therapies against specific...
Targeted Cancer Therapies
There are several types of targeted therapies against specific...
Ligand Binding Sites
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
Ligand Binding Sites
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
Combination Therapies and Personalized Medicine
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
Cancer-Critical Genes I: Proto-oncogenes
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...