Related Experiment Video
Updated: Jun 26, 2026

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
Published on: May 9, 2025
3D-QSAR studies of HDACs inhibitors using pharmacophore-based alignment
Yadong Chen1, Huifang Li, Wanquan Tang
1Department of Medicinal Chemistry, China Pharmaceutical University, Nanjing, PR China.
Abstract:
Histone deacetylases (HDACs) enzyme is a promising target for the development of anticancer drugs. The enzyme-bound conformation of Trichostatin A (TSA) (PDB ID:1C3R) as an inhibitor of HDACs was used to manually construct a pharmacophore model. This model was then successfully used to identify the bioactive conformation and align flexible and structurally diverse molecules. Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were performed on hydroxamate-based HDACs inhibitors based on phamacophore alignment. The best predictions were obtained with CoMFA standard model (q(2) = 0.726, r(2) = 0.998) and CoMSIA model combined with steric, electrostatic, hydrophobic, hydrogen bond donor and acceptor fields (q(2) = 0.610, r(2) = 0.995). Both of the models were validated by an external test set, which gave a satisfactory predictive r(2) value of 0.800 and 0.732, respectively. Graphical interpretation of the results revealed important structural features of the inhibitors related to the active site of HDACs. The results may be exploited for further design and virtual screening for some novel HDACs inhibitors.
More Related Videos
08:31Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
Published on: December 1, 2020
14:34A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English
Published on: April 3, 2026
Related Concept Videos
Structure-Activity Relationships and Drug Design
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence its...
2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)
Pharmacogenomics: Identification of New Drug Targets