"Pharmacophore Modeling in Drug Discovery: Methodology and Current Status"    

◦ Publication Date: 2021-06-29    

◦ DOI:10.18596/jotcsa.927426    

◦ Summary: Reviews the methodology of pharmacophore modeling, its integration with other computational methods, and its applications in drug discovery.

‍"Pharmacophore Modeling in Drug Discovery and Development: An Overview"    

◦ Publication Date: 2007-02-28    

◦ DOI:10.2174/157340607780059521    

◦ Summary: Provides a historical overview of pharmacophore modeling and discusses developments in methodologies for pharmacophore identification and their applications in drug discovery.

‍"A Computer-Aided Drug Discovery Based Discovery of Lead-Like Compounds Against KDM5A for Cancers Using Pharmacophore Modeling and High-Throughput Virtual Screening"    

◦ Publication Date: 2021-10-12    

◦ DOI:10.1002/prot.26262    

◦ Summary: Identifies lead compounds for KDM5A through pharmacophore modeling and high-throughput virtual screening, with further evaluation using ADMET properties and molecular dynamics simulations.

‍"The Development of Pharmacophore Modeling: Generation and Recent Applications in Drug Discovery"    

◦ Publication Date: 2018-12-08    

◦ DOI:10.2174/1381612824666180810162944    

◦ Summary: Reviews successful examples of pharmacophore modeling applied in virtual screening and lead optimization, providing an overview of pharmacophore-based virtual screening.

‍"Pharmacophore Modeling: Advances, Limitations, and Current Utility in Drug Discovery"  

◦ Publication Date: 2014-11-11    

◦ DOI:10.2147/JRLCR.S46843    

◦ Summary: Reviews the computational implementation of the pharmacophore concept and its common usage in drug discovery, including virtual screening, ADME-tox modeling, and target identification.

‍"Computational Discovery of SARS-CoV-2 NSP 16 Drug Candidates Based on Pharmacophore Modeling and Molecular Dynamics Simulation"    

◦ Publication Date: 2021-06-01    

◦ DOI:10.1142/s2737416521500198    

◦ Summary: Uses pharmacophore-based virtual screening and molecular dynamics simulations to identify potential SARS-CoV-2 NSP 16 inhibitors.

‍"Azolium Analogues as CDK4 Inhibitors: Pharmacophore Modeling, 3D QSAR Study and New Lead Drug Discovery"    

◦ Publication Date: 2017-04-15    

◦ DOI:10.1016/J.MOLSTRUC.2016.12.106    

◦ Summary: Presents ligand-based pharmacophore modeling and 3D-QSAR analyses for azolium-based CDK4 inhibitors.

‍"The Discovery of Novel BCR-ABL Tyrosine Kinase Inhibitors Using a Pharmacophore Modeling and Virtual Screening Approach"    

◦ Publication Date: 2021-03-04    

◦ DOI:10.3389/fcell.2021.649434    

◦ Summary: Identifies novel BCR-ABL inhibitors through pharmacophore modeling and virtual screening, with in vitro validation.

‍"Unlocking Neuraminidase Inhibitors: Insights from Natural Products through Pharmacophore Modeling, Virtual Screening, and Molecular Docking"    

◦ Publication Date: 2024-11-08    

◦ DOI:10.2174/0115701808334140241107111104    

◦ Summary: Identifies potential neuraminidase inhibitors from natural products using pharmacophore modeling, virtual screening, and molecular docking.