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Macrolide biosensor protein MphR(A) has been known as a key regulatory protein in metabolite sensing and genetic expression regulating. MphR(A) protein binds to macrolide antibiotic erythromycin (Ery) and releases the gene operon, thus activates expression of the mphA gene and initiates Ery resistance. The two mutant amino acid residues (V66L and V126L) might potentially disrupt Ery binding to MphR(A). In these studies, the binding of macrolide antibiotic Ery to wild type (Wt) MphR(A) and double mutant (V66L/V126L) MphR(A) are explored by molecular dynamics simulations. Compared to the Apo-MphR(A) protein and Wt-MphR(A)-Ery complex, many interesting effects owing to the double mutant (V66L/V126L) are discovered. In the case of Ery, Helix I which plays an important role in transcription shows itself a right-hand α helix in Wt-MphR(A)-Ery, whereas the activated helix is broken down in double mutant-V66L/V126L-MphR(A)-Ery. The calculated results exhibit that the double mutant V66L/V126L reduces the binding affinity of the V66L/V126L-MphR(A) to Ery, resulting in the block of Ery resistance. The binding free energy decomposition analysis reveals that the decrease of the binding affinity for the variant V66L/V126L-MphR(A)-Ery is mainly attributed to the gas phase electrostatic energies. The residue Leu66, Thr154, and Arg122 enhance the binding affinity of V66L/V126L-MphR(A) to Ery. The residues Tyr103 and His147 contributes mainly to binding energies in the Wt-MphR(A)-Ery complex, whereas the two residues have no contribution to the binding free energy inV66L/V126L-MphR(A)-Ery complex. Our study gives useful insights into the nature of amino acids mutation effect, the mechanism of blocking drug resistance at the atomic level and the characteristics in binding affinity for Ery to double mutant (V66L/V126L) MphR(A), which will contribute to the design of more effective macrolide antibiotics.
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http://dx.doi.org/10.1007/s10822-015-9881-0 | DOI Listing |
J Agric Food Chem
September 2025
The State Key Laboratory of Food Science and Resources, Jiangnan University, 1800 Lihu Road, Wuxi 214122, China.
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View Article and Find Full Text PDFiScience
September 2025
School of Biology and Biological Engineering, South China University of Technology, Guangzhou, Guangdong 510006, China.
Deep learning has rapidly emerged as a promising toolkit for protein optimization, yet its success remains limited, particularly in the realm of activity. Moreover, most algorithms lack rigorous iterative evaluation, a crucial aspect of protein engineering exemplified by classical directed evolution. This study introduces DeepDE, a robust iterative deep learning-guided algorithm leveraging triple mutants as building blocks and a compact library of ∼1,000 mutants for training.
View Article and Find Full Text PDFSci China Life Sci
September 2025
MOE Key Laboratory of Bioinformatics and Center for Plant Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, China.
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View Article and Find Full Text PDFJ Biosci Bioeng
September 2025
Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki 305-8565, Japan.
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View Article and Find Full Text PDFJ Neurosci
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Department of Neuroscience, University of Connecticut Health Center, Farmington, CT 06030, United States.
Presenilin mutations are the most common cause of familial Alzheimer's disease (FAD), but the mechanisms by which they disrupt neuronal function remain unresolved, particularly in relation to γ-secretase activity. Using , we show that the presenilin ortholog SEL-12 supports synaptic transmission and axonal integrity through a pathway involving the ryanodine receptor RYR-1. Loss-of-function mutations in either or reduce neurotransmitter release and cause neuronal structural defects, with no additional impairment in double mutants, suggesting a shared pathway.
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