Design and Evaluation of Indole-Based Schiff Bases as α-Glucosidase Inhibitors: CNN-Enhanced Docking, MD Simulations, ADMET Profiling, and SAR Analysis
Type 2 diabetes mellitus (T2DM) remains a global health challenge, prompting the development of novel α-glucosidase inhibitors (AGIs) to regulate postprandial hyperglycemia. This study reports the design, synthesis, and evaluation of indole-based Schiff base derivatives (<b>4a</b>-<b>j</b>) bearing a fixed methoxy group at the C<sub>5</sub> position. This substitution was strategically introduced to enhance lipophilicity, electronic delocalization, and π-stacking within the enzyme active site. Among the series, compound <b>4g</b> (3-bromophenyl) exhibited the highest inhibitory activity (IC<sub>50</sub> = 10.89 µM), outperforming the clinical reference acarbose (IC<sub>50</sub> = 48.95 µM). The mechanism was supported by in silico analyses, such as the Density Functional Theory (DFT), molecular electrostatic potential (MEP) mapping, and molecular dynamics simulations, and CNN-based docking revealed that <b>4g</b> engages in stable hydrogen bonding and π-π interactions with key residues (Asp327, Asp542, and Phe649), suggesting a potent and selective mode of inhibition. In silico ADMET predictions indicated favorable pharmacokinetic properties. Together, these results establish C<sub>5</sub>-methoxy substitution as a viable strategy to enhance α-glucosidase inhibition in indole-based scaffolds.
Authors
- Balasaheb K. Ghotekar
- Fabiola Hernández-Rosas (ORCID: https://orcid.org/0000-0003-2287-7041)
- Shripad V. Bhagwat (ORCID: https://orcid.org/0009-0001-1231-9735)
- J. Óscar C. Jiménez‐Halla (ORCID: https://orcid.org/0000-0001-7354-3506)
- Enrique Delgado‐Alvarado (ORCID: https://orcid.org/0000-0002-6354-5222)
- Irving David Pérez-Landa (ORCID: https://orcid.org/0000-0002-5240-5371)
- Vivek D. Bobade (ORCID: https://orcid.org/0000-0001-5295-8446)
- Tushar Janardan Pawar (ORCID: https://orcid.org/0000-0003-0753-9538)
- Abraham Vidal‐Limon (ORCID: https://orcid.org/0000-0001-5674-7881)
- Sachin V. Patil
Institutions
- Universidad de Guanajuato (MX)
- Universidad Veracruzana (MX)
- Maharashtra University of Health Sciences (IN)
- Autonomous University of Queretaro (MX)
- Universidad Anáhuac Querétaro (MX)
- Instituto Tecnológico de Veracruz (MX)
- Instituto de Ecología (MX)
Publication Details
- Journal
- Molecules
- Published
- 2025-09-08
- DOI
- https://doi.org/10.3390/molecules30173651
- Citations
- 1
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 1.50
Funders
- Instituto Potosino de Investigación Científica y Tecnológica
- National Supercomputing Center, Korea Institute of Science and Technology Information