Related Experiment Video
Updated: Apr 24, 2026

A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English
Published on: April 3, 2026
Discovery of potential and selective COX-1 inhibitory leads using pharmacophore modelling, in silico screening and in
Bhaskar Balaji1, Sivaram Hariharan2, Darshit B Shah1
1Department of Pharmacology, PSG College of Pharmacy, Peelamedu, Coimbatore 641 004, Tamil Nadu, India.
Abstract:
Cyclooxygenase -1 (COX-1) selective inhibitors are anticipated to be potential therapeutic agents for thrombosis, tumorigenesis, atherosclerosis, neuroprotection, and oxidative stress. In this study, a 3D-QSAR pharmacophore model was developed for potent and selective COX-1 inhibition based on 44 compounds from four different scaffolds using Phase, Schrödinger. One (hydrogen-bond) acceptor, one hydrophobic, and two aromatic sites (AHRR) contribute to COX-1 inhibitory activity. Test and decoy sets were used to corroborate the best hypothesis and the validated hypothesis was used to screen the SPECS database. The resultant hits were filtered by standard precision (SP) and extra precision (XP) modes of docking using Glide, Schrödinger which yielded five hits. Free energy calculations were carried out to quantify the affinity differences of the hits towards COX enzymes. These five hits were subjected to in vitro COX (ovine) inhibitory activity studies. The hits displayed potent COX-1 inhibitory activity and good selectivity versus COX-2 enzyme. The compounds also protected the nitric oxide (NO) induced cell death mediated by COX-1 in mouse macrophages cell line. Hence, we hypothesize that these compounds could be promising leads for the design of superior COX-1 inhibitors and insights gained from further exploration of the same could provide pertinent clues for the treatment of the conditions mentioned above.
More Related Videos
Related Concept Videos
Drug Discovery: Overview
Pharmacogenomics: Identification of New Drug Targets
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...
Induced-fit Model
Enzymes exhibit substrate specificity, meaning that they can only bind to certain substrates. This is mainly determined by the shape and chemical...
Pharmacodynamic Models: Overview
Enzyme Inhibition

