Residue interaction networks and loop motions are important for catalysis in dihydrofolate reductase (DHFR). Here, we investigate the effects of ligand binding and chain connectivity on network communication in DHFR. We carry out systematic network analysis and molecular dynamics simulations of the native DHFR and 19 of its circularly permuted variants by breaking the chain connections in ten folding element regions and in nine nonfolding element regions as observed by experiment. Our studies suggest that chain cleavage in folding element areas may deactivate DHFR due to large perturbations in the network properties near the active site. The protein active site is near or coincides with residues through which the shortest paths in the residue interaction network tend to go. Further, our network analysis reveals that ligand binding has "network-bridging effects" on the DHFR structure. Our results suggest that ligand binding leads to a modification, with most of the interaction networks now passing through the cofactor, shortening the average shortest path. Ligand binding at the active site has profound effects on the network centrality, especially the closeness.
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http://dx.doi.org/10.1371/journal.pcbi.0030117 | DOI Listing |
NPJ Breast Cancer
January 2025
Cancer Science Institute of Singapore, National University of, Singapore, Singapore.
Point mutations in the ligand binding domain of retinoic acid receptor alpha (RARα) are linked to breast fibroepithelial tumor development, but their role in solid tumorigenesis is unclear. In this study, we assessed the functional effects of known RARα mutations on retinoic acid signaling using biochemical and cellular assays. All tested mutants exhibited reduced transcriptional activity compared to wild-type RARα and showed a dominant negative effect, a feature associated with developmental defects and tumor formation.
View Article and Find Full Text PDFJ Chem Theory Comput
January 2025
Exscientia, Schrödinger Building, Oxford Science Park, Oxford OX4 4GE, U.K.
The development of machine-learning (ML) potentials offers significant accuracy improvements compared to molecular mechanics (MM) because of the inclusion of quantum-mechanical effects in molecular interactions. However, ML simulations are several times more computationally demanding than MM simulations, so there is a trade-off between speed and accuracy. One possible compromise are hybrid machine learning/molecular mechanics (ML/MM) approaches with mechanical embedding that treat the intramolecular interactions of the ligand at the ML level and the protein-ligand interactions at the MM level.
View Article and Find Full Text PDFJ Psychiatry Neurosci
January 2025
From the Computational Biology Centre and the Laboratory of Psychiatric-Neuroimaging-Genetic and Comorbidity, Tianjin Anding Hospital, Tianjin Mental Health Centre of Tianjin Medical University, Nankai University Affiliated Tianjin Anding Hospital, Tianjin, China.
Background: Clozapine is superior to all other antipsychotics in treating schizophrenia in terms of its curative efficacy; however, this drug is prescribed only as a last resort in the treatment of schizophrenia, given its potential to induce cardiac arrest. The mechanism of clozapine-induced cardiac arrest remains unclear, so we aimed to elucidate the potential mechanisms of clozapine-induced cardiac arrest using network pharmacology and molecular docking.
Methods: We identified and analyzed the overlap between potential cardiac arrest-related target genes and clozapine target genes.
Comput Biol Chem
December 2024
Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA.
The mesenchymal stem cell (MSC) secretome plays a pivotal role in shaping the tumor microenvironment, influencing both cancer progression and potential therapeutic outcomes. In this research, by using publicly available dataset GSE196312, we investigated the role of MSC secretome on breast cancer cell gene expression. Our results raveled differentially expressed genes, including the upregulation of Phosphatidylinositol-3,4,5-Trisphosphate Dependent Rac Exchange Factor 1 (PREX1), C-C Motif Chemokine Ligand 28 (CCL28), and downregulation of Collagen Type I Alpha 1 Chain (COL1A1), Collagen Type I Alpha 3 Chain (COL1A3), Collagen Type III Alpha 1 Chain (COL3A1), which contributing to extra cellular matrix (ECM) weakening and promoting cell migration.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Georgia, Athens, GA, USA.
Background: Inflammatory cells play a key role in the pathophysiology of AD and other neurodegenerative disorders. Glycans are known to mediate inflammatory cell activation and migration yet very little is understood about the expression of glycans, glycoproteins, and other glycoconjugates at the CP which serves as a gateway for peripheral immune cells into the brain. In a familial AD mouse model, we observed increased expression of Siglec-F-recognized glycans on CP epithelial cells.
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