Virtual screening of small molecules for targeting DYRK1A kinase: Identifying novel inhibitors through computational approaches
Down syndrome (trisomy 21) is the most common genetic cause of neurological disorders. The DYRK1A gene is located in the Down Syndrome Critical Region (DSCR) on human chromosome 21, a region that plays a crucial role in the symptoms of Down syndrome and is mainly responsible for its development. Here, we screened approximately 75,000 natural product compounds to inhibit DYRK1A kinase enzymatic activity, offering a potential therapeutic approach to alleviate the pathological effects linked to its overexpression in Down syndrome (DS). First, we selected a hundred compounds based on docking scores. After further screening based on ADMET properties, we narrowed the selection down to five compounds. The apo system and complexes with the five lead compounds were subjected to 3 × 200 ns molecular dynamics simulations. Abemaciclib was used as a control molecule, as it has been shown to potentially inhibit DYRK1A enzymatic activity. Molecular Mechanics Poisson-Boltzmann Surface Area (MM-PBSA) calculations demonstrated that Lead1 (ΔG bind = -25.10 kcal/mol) and Lead2 (ΔG bind = -22.24 kcal/mol) exhibited higher binding affinities towards DYRK1A kinase compared to the control molecule (ΔGbind = -17.52 kcal/mol). Analysis of Protein Structure Networks highlighted conformational and network shifts triggered by ligand binding. Furthermore, using a deep learning approach (DeLA Drug), we identified an abemaciclib analogue exhibiting enhanced binding affinity compared to the control, revealing key interacting residues. Overall, our study provides important insights for developing new and effective DYRK1A inhibitors, with some compounds showing potential as drug candidates, pending confirmation through laboratory testing.
Authors
- Kapil Dattatray Ursal (ORCID: https://orcid.org/0000-0002-6861-5912)
- Parimal Kar (ORCID: https://orcid.org/0000-0001-8451-9739)
Institutions
- Indian Institute of Technology Indore (IN)
Publication Details
- Journal
- In Silico Research in Biomedicine
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.insi.2025.100038
- Citations
- 1
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- Inspire Foundation
- Department of Science and Technology, Ministry of Science and Technology, India