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Since dysregulation of the phosphatidylinositol 3-kinase (PI3K) signaling pathway is associated with the pathogenesis of cancer, inflammation, and autoimmunity, PI3K has emerged as an attractive target for drug development. Although copanlisib is the first pan-PI3K inhibitor to be approved for clinical use, the precise mechanism by which it acts on PI3K has not been fully elucidated. To reveal the binding mechanisms and structure-activity relationship between PI3K and copanlisib, a comprehensive modeling approach that combines 3D-quantitative structure-activity relationship (3D-QSAR), pharmacophore model, and molecular dynamics (MD) simulation was utilized. Initially, the structure-activity relationship of copanlisib and its derivatives were explored by constructing a 3D-QSAR. Then, the key chemical characteristics were identified by building common feature pharmacophore models. Finally, MD simulations were performed to elucidate the important interactions between copanlisib and different PI3K subtypes, and highlight the key residues for tight-binding inhibitors. The present study uncovered the principal mechanism of copanlisib's action on PI3K at the theoretical level, and these findings might provide guidance for the rational design of pan-PI3K inhibitors.Communicated by Ramaswamy H. Sarma.
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http://dx.doi.org/10.1080/07391102.2023.2246569 | DOI Listing |
RSC Med Chem
August 2025
Department of Chemistry and Biochemistry, Baylor University, One Bear Place #97348, Waco, TX 76798-7348, United States of America.
A strategy for targeting tumor-associated hypoxia utilizes reductase enzyme-mediated cleavage to convert biologically inert prodrugs to their corresponding biologically active parent therapeutic agents selectively in areas of pronounced hypoxia. Small-molecule inhibitors of tubulin polymerization represent unique therapeutic agents for this approach, with the most promising functioning as both antiproliferative agents (cytotoxins) and as vascular disrupting agents (VDAs). VDAs selectively and effectively disrupt tumor-associated microvessels, which are typically fragile and chaotic in nature.
View Article and Find Full Text PDFChem Biol Drug Des
September 2025
School of Chemistry and Physics, University of KwaZulu-Natal, Durban, South Africa.
Molecular hybridization of isoniazid with hydrophobic aromatic moieties represents a promising strategy for the development of novel anti-tubercular therapeutics. In this study, a series of hybrid molecules (5a-i) was synthesized by linking isoniazid with aromatic sulfonate esters via a hydrazone bridge. Molecular docking studies revealed that these compounds interact effectively with the catalytic triad of the InhA enzyme (Y158, F149, and K165), suggesting their potential as InhA inhibitors.
View Article and Find Full Text PDFSAR QSAR Environ Res
August 2025
Center for Medical Artificial Intelligence, Shandong University of Traditional Chinese Medicine, Qingdao, China.
Phosphorylation plays an important role in the activity of CDK2 and inhibitor binding, but the corresponding molecular mechanism is still insufficiently known. To address this gap, the current study innovatively integrates molecular dynamics (MD) simulations, deep learning (DL) techniques, and free energy landscape (FEL) analysis to systematically explore the action mechanisms of two inhibitors (SCH and CYC) when CDK2 is in a phosphorylated state and bound state of CyclinE. With the help of MD trajectory-based DL, key functional domains such as the loops L3 loop and L7 are successfully identified.
View Article and Find Full Text PDFSAR QSAR Environ Res
August 2025
Structural Biology and Biocomputing Lab, Department of Bioinformatics, Alagappa University, Karaikudi, India.
, a causative agent of lymphatic filariasis, relies on its endosymbiont for survival. MurE ligase, a key enzyme in peptidoglycan biosynthesis, serves as a promising drug target for anti-filarial therapy. In this study, we employed a hierarchical virtual screening pipeline to identify phytochemical inhibitors targeting the MurE enzyme of the endosymbiont of (MurE).
View Article and Find Full Text PDFSAR QSAR Environ Res
August 2025
Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China (UESTC), Chengdu, China.
Peptide quantitative structure-activity relationship (pQSAR) has been widely used in the computational peptidology community to model, predict and explain the activity and function of bioactive peptides. Various amino acid descriptors (AADs) have been developed to characterize the residue building blocks of peptides at sequence level. However, a significant issue is that the total number of AAD-characterized descriptors is proportional to peptide length, thus causing inconsistency in the resulting descriptor vector matrix for a panel of length-varying peptide sequences (LVPSs), which cannot be engaged in pQSAR modelling.
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