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Updated: May 2, 2026

Generation of High-Throughput Three-Dimensional Tumor Spheroids for Drug Screening
Published on: September 5, 2018
3D structure generation, virtual screening and docking of human Ras-associated binding (Rab3A) protein involved in
Sharad S Lodhi1, Rohit Farmer, Atul Kumar Singh
1School of Studies in Biochemistry, Jiwaji University, Gwalior, 474011, India.
Abstract:
Rab3A is expressed predominantly in brain and synaptic vesicles. Rab3A is involved specifically in tethering and docking of synaptic vesicles prior to fusion which is a critical step in regulated release of neurotransmitters. The precise function of Rab3A is still not known. However, up-regulation of Rab3A has been reported in malignant neuroendocrine and breast cancer cells. In the present study, the structure of Rab3A protein was generated using MODELLER 9v8 software. The modeled protein structure was validated and subjected to molecular docking analyses. Docking with GTP was carried out on the binding site of Rab3A using GOLD software. The Rab3A-GTP complex has best GOLD fitness value of 77.73. Ligplot shows hydrogen bondings (S16, S17, V18, G19, K20, T21, S22, S31, T33, A35, S38, T39 and G65) and hydrophobic interacting residues (F25, F32, P34, F36, V37, D62 and A64) with the GTP ligands in the binding site of Rab3A protein. Here, the ligand molecules of NCI diversity set II from the ZINC database against the active site of the Rab3A protein were screened. For this purpose, the incremental construction algorithm of GLIDE and the genetic algorithm of GOLD were used. Docking results were analyzed for top ranking compounds using a consensus scoring function of X-Score to calculate the binding affinity and Ligplot was used to measure protein-ligand interactions. Five compounds which possess good inhibitory activity and may act as potential high affinity inhibitors against Rab3A active site were identified. The top ranking molecule (ZINC13152284) has a Glide score of -6.65 kcal/mol, X-Score of -3.02 kcal/mol and GOLD score of 64.54 with 03 hydrogen bonds and 09 hydrophobic contacts. This compound is thus a good starting point for further development of strong inhibitors.
Insights
Researchers modeled the Rab3A protein structure and screened compounds to find potential inhibitors. A top molecule, ZINC13152284, showed promising binding affinity for Rab3A, suggesting it could be a starting point for developing new drugs.
Area of Science:
- Computational biology and structural bioinformatics
- Neuroscience and cancer research
Background:
- Rab3A protein is predominantly expressed in brain and synaptic vesicles.
- It plays a role in neurotransmitter release, and its upregulation is linked to certain cancers.
- The precise function of Rab3A remains under investigation.
Purpose of the Study:
- To model the 3D structure of Rab3A protein.
- To identify potential high-affinity inhibitors of Rab3A using molecular docking.
- To analyze protein-ligand interactions for drug development.
Main Methods:
- Protein structure modeling using MODELLER 9v8.
- Molecular docking of GTP and small molecules (NCI diversity set II) using GOLD and GLIDE.
- Analysis of binding affinity and interactions using X-Score and Ligplot.
Main Results:
- The Rab3A-GTP complex showed a GOLD fitness value of 77.73, with identified hydrogen bonding and hydrophobic interactions.
- Screening identified five compounds with potential inhibitory activity against Rab3A.
- The top-ranked compound, ZINC13152284, exhibited strong binding affinity (Glide score: -6.65 kcal/mol, X-Score: -3.02 kcal/mol) with favorable interactions.
Conclusions:
- Computational modeling and docking successfully identified potential inhibitors for Rab3A.
- ZINC13152284 represents a promising lead compound for developing novel Rab3A inhibitors.
- Further studies are warranted to explore the therapeutic potential of these identified compounds.
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