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Keywords = ONIOM geometry optimization calculation

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17 pages, 2139 KB  
Article
Under ONIOM Layers: Analysis of BCR-ABL Enzyme Inhibitors Through Bond-Critical Points and Natural Orbitals
by Kelvyn M. L. Rocha, Érica C. M. Nascimento and João B. L. Martins
Molecules 2025, 30(20), 4145; https://doi.org/10.3390/molecules30204145 - 21 Oct 2025
Viewed by 769
Abstract
Considering the relevance of hydrogen bonds and other intermolecular interactions in regulating the activity of the tyrosine kinase class of enzymes, an in-depth electronic structure study of these forces in the context of the BCR-ABL protein was performed through full optimizations using the [...] Read more.
Considering the relevance of hydrogen bonds and other intermolecular interactions in regulating the activity of the tyrosine kinase class of enzymes, an in-depth electronic structure study of these forces in the context of the BCR-ABL protein was performed through full optimizations using the ONIOM method. Rebastinib and ponatinib were docked to the target enzyme using AutoDock Vina to provide starting-point geometries, which were then optimized through ONIOM calculations. This study evaluated Frontier Molecular Orbitals (FMOs) and Bond-Critical Points (BCPs) located in the sites of interactions formed with accessible residues, such as Glu286, Met318, and Asp381. Ponatinib’s ONIOM-optimized structure was shown to not only form and preserve prominent interactions, which were shown to be significantly stronger than those formed by rebastinib, but also to be associated with a significant increase in the HOMO (Highest Occupied Molecular Orbital)−LUMO (Lowest Unoccupied Molecular Orbital) gap, indicating its potential to hinder catalytic activity by providing higher chemical stability when compared to rebastinib. Full article
(This article belongs to the Section Bioorganic Chemistry)
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14 pages, 2958 KB  
Article
Virtual Screening and Quantum Chemistry Analysis for SARS-CoV-2 RNA-Dependent RNA Polymerase Using the ChEMBL Database: Reproduction of the Remdesivir-RTP and Favipiravir-RTP Binding Modes Obtained from Cryo-EM Experiments with High Binding Affinity
by Motonori Tsuji
Int. J. Mol. Sci. 2022, 23(19), 11009; https://doi.org/10.3390/ijms231911009 - 20 Sep 2022
Cited by 5 | Viewed by 3865
Abstract
The novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was identified as the pathogenic cause of coronavirus disease 2019 (COVID-19). The RNA-dependent RNA polymerase (RdRp) of SARS-CoV-2 is a potential target for the treatment of COVID-19. An RdRp complex:dsRNA structure suitable for [...] Read more.
The novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was identified as the pathogenic cause of coronavirus disease 2019 (COVID-19). The RNA-dependent RNA polymerase (RdRp) of SARS-CoV-2 is a potential target for the treatment of COVID-19. An RdRp complex:dsRNA structure suitable for docking simulations was prepared using a cryo-electron microscopy (cryo-EM) structure (PDB ID: 7AAP; resolution, 2.60 Å) that was reported recently. Structural refinement was performed using energy calculations. Structure-based virtual screening was performed using the ChEMBL database. Through 1,838,257 screenings, 249 drugs (37 approved, 93 clinical, and 119 preclinical drugs) were predicted to exhibit a high binding affinity for the RdRp complex:dsRNA. Nine nucleoside triphosphate analogs with anti-viral activity were included among these hit drugs, and among them, remdesivir-ribonucleoside triphosphate and favipiravir-ribonucleoside triphosphate adopted a similar docking mode as that observed in the cryo-EM structure. Additional docking simulations for the predicted compounds with high binding affinity for the RdRp complex:dsRNA suggested that 184 bioactive compounds could be anti-SARS-CoV-2 drug candidates. The hit bioactive compounds mainly consisted of a typical noncovalent major groove binder for dsRNA. Three-layer ONIOM (MP2/6-31G:AM1:AMBER) geometry optimization calculations and frequency analyses (MP2/6-31G:AMBER) were performed to estimate the binding free energy of a representative bioactive compound obtained from the docking simulation, and the fragment molecular orbital calculation at the MP2/6-31G level of theory was subsequently performed for analyzing the detailed interactions. The procedure used in this study represents a possible strategy for discovering anti-SARS-CoV-2 drugs from drug libraries that could significantly shorten the clinical development period for drug repositioning. Full article
(This article belongs to the Special Issue Recent Advances in Biomolecular Recognition II)
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