ArticleMolecules (Basel, Switzerland)2023
Computer-Aided Designing Peptide Inhibitors of Human Hematopoietic Prostaglandin D2 Synthase Combined Molecular Docking and Molecular Dynamics Simulation.
Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 10 citations in OpenAlex.
- Discovery and characterization of novel hematopoietic prostaglandin D synthase inhibitors from traditional Chinese medicine: the bioactive potential of dihydroberberine in treatments of Duchenne muscular dystrophy and inflammation-related diseases.Journal of enzyme inhibition and medicinal chemistry · 2025Article
- Enhancing substrate specificity of microbial transglutaminase for precise nanobody labeling.Synthetic and systems biotechnology · 2025Article
- A novel antioxidant peptide from black soybean [Frontiers in nutrition · 2025Article
- Machine learning-assisted substrate binding pocket engineering based on structural information.Briefings in bioinformatics · 2024Article
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
Human hematopoietic prostaglandin D2 synthase (HPGDS) is involved in the production of prostaglandin D2, which participates in various physiological processes, including inflammation, allergic reactions, and sleep regulation. Inhibitors of HPGDS have been investigated as potential anti-inflammatory agents. For the investigation of potent HPGDS inhibitors, we carried out a computational modeling study combining molecular docking and molecular dynamics simulation for selecting and virtual confirming the designed binders. We selected the structure of HPGDS (PDB ID: 2CVD) carrying its native inhibitor compound HQL as our research target. The random 5-mer peptide library was created by building the 3-D structure of random peptides using Rosetta Buildpeptide and performing conformational optimization. Molecular docking was carried out by accommodating the peptides into the location of their native binder and then conducting docking using FlexPepDock. The two peptides RMYYY and VMYMI, which display the lowest binding energy against HPGDS, were selected to perform a comparative study. The interaction of RMYYY and VMYMI against HPGDS was further confirmed using molecular dynamics simulation and aligned with its native binder, HQL. We show the selected binders to have stronger binding energy and more frequent interactions against HPGDS than HQL. In addition, we analyzed the solubility, hydrophobicity, charge, and bioactivity of the generated peptides, and we show that the selected strong binder may be further used as therapeutic drugs.
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