Biology subjects

Koseki, J.

Publications and source records attributed to Koseki, J..

4 recordsLinked to original sources

bioRxiv2024

Topological data analysis based on mixed-solvent molecular dynamics simulations enhance cryptic pocket detection

Some functional proteins undergo conformational changes to expose hidden binding sites when a binding molecule approaches their surface. Such binding sites are called cryptic sites and are important targets for drug discovery. However, it is still difficult to correctly predict cryptic sites. Therefore, we introduce a new method, CrypToth, for the precise identification of cryptic sites utilizing the persistent homology method. This method integrates topological data analysis and mixed-solvent molecular dynamics (MSMD) simulations. To identify hotspots corresponding to cryptic sites, we conducted MSMD simulations using six probes with different chemical properties: benzene, isopropanol, phenol, imidazole, acetonitrile, and ethylene glycol. Subsequently, we applied our topological data analysis method to rank hotspots based on the possibility of harboring cryptic sites. Evaluation of CrypToth using nine target proteins containing well-defined cryptic sites revealed its superior performance compared to recent machine-learning methods. As a result, in 7 out of 9 cases, hotspots associated with cryptic sites were ranked highest. CrypToth can explore hotspots on the protein surface favorable to ligand binding using MSMD simulations with six different probes and then identify hotspots corresponding to cryptic sites by assessing the proteins conformational variability using the topological data analysis. This synergistic approach facilitates the prediction of cryptic sites with high accuracy.

bioinformatics↗

bioRxiv2023

Survivability and Life Support in Sealed Mini-Ecosystems with Simulated Planetary Soils

Establishing a sustainable life-support system for space exploration is challenging due to the vast distances, costs, and differing environments from Earth. Using insights from the Biosphere 2 experiment, we introduced the "Ecosphere" and "Biosealed" systems in custom containers to replicate Earths ecosystems, suggesting feasible space migration through transplanting Earth-like biomes. Over four years, we gained deeper insights into these enclosed ecosystems. Moisture deficiency was a major obstacle to plant growth, which we addressed by incorporating a groundwater layer in the containers. We underscored the critical role of microorganisms in building and sustaining these ecosystems. However, temperature spikes from sunlight threatened stability. Our experiments confirmed fruit flies survival on plant-produced oxygen and photosynthetic bacteria. Interactions between plants, microbes, and simulated space soils were examined. Detailed analysis unveiled diverse microbes shaping both confined and simulated space environments. Major findings include the symbiotic relationship of plants with cyanobacteria, the potential of LED lighting in sun-limited missions, and challenges with ethylene gas and moisture. Microbial integration in rough soils holds promise for seed germination, but understanding their role in space soils is crucial. Our research offers a comprehensive foundation for future space life-support systems and underlines potential concerns about microbes affecting human health.

ecology↗

bioRxiv2022

Characterization of various remdesivir-resistant mutations of SARS-CoV-2 by mathematical modeling and molecular dynamics simulation.

Mutations continue to accumulate within the SARS-CoV-2 genome, and the ongoing epidemic has shown no signs of ending. It is critical to predict problematic mutations that may arise in clinical environments and assess their properties in advance to quickly implement countermeasures against future variant infections. In this study, we identified mutations resistant to remdesivir, which is widely administered to SARS-CoV-2-infected patients, and discuss the cause of resistance. First, we simultaneously constructed eight recombinant viruses carrying the mutations detected in in vitro serial passages of SARS-CoV-2 in the presence of remdesivir. Time course analyses of cellular virus infections showed significantly higher infectious titers and infection rates in mutant viruses than wild type virus under treatment with remdesivir. Next, we developed a mathematical model in consideration of the changing dynamic of cells infected with mutant viruses with distinct propagation properties and defined that mutations detected in in vitro passages canceled the antiviral activities of remdesivir without raising virus production capacity. Finally, molecular dynamics simulations of the NSP12 protein of SARS-CoV-2 revealed that the molecular vibration around the RNA-binding site was increased by the introduction of mutations on NSP12. Taken together, we identified multiple mutations that affected the flexibility of the RNA binding site and decreased the antiviral activity of remdesivir. Our new insights will contribute to developing further antiviral measures against SARS-CoV-2 infection. Significance StatementConsidering the emerging Omicron strain, quick characterization of SARS-CoV-2 mutations is important. However, owing to the difficulties in genetically modifying SARS-CoV-2, limited groups have produced multiple mutant viruses. Our cutting-edge reverse genetics technique enabled construction of eight reporter-carrying mutant SARS-CoV-2 in this study. We developed a mathematical model taking into account sequential changes and identified antiviral effects against mutant viruses with differing propagation capacities and lethal effects on cells. In addition to identifying the positions of mutations, we analyzed the structural changes in SARS-CoV-2 NSP12 by computer simulation to understand the mechanism of resistance. This multidisciplinary approach promotes the evaluation of future resistance mutations.

microbiology↗

bioRxiv2018

Hereditary Pancreatitis Model by Blastocyst Complementation in Mouse

Summary StatementThe present study is the first report for reproducing human disease by utilizing blastocyst complementation method and would lead to the development of novel therapy for human disease.\n\nThe application of pluripotent stem cell is expected to contribute to the elucidation of the unknown mechanism of human diseases. However, in vitro induction of cells in several organs, such as the pancreas and liver, remains difficult; therefore, reproduction of those diseases in a model has not been feasible. To reproduce human hereditary pancreatitis (HP), which is most frequently caused by the mutations in the PRSS1 gene, we performed the blastocyst complementation (BC) method. In the BC method, mouse embryonic stem (ES) cells harboring CRISPR/CAS9-mediated mutations in the Prss1 were injected into the blastocysts of deficient Pdx1 gene mice, which is a critical transcription factor in the pancreas. The results showed that the blastocysts injected into the Prss1-mutant ES cells induced trypsin activation. This implied that the mouse phenotype mimics that of human HP and that the BC method was useful for the reproduction and study of pancreatic disorders. The present study opens the possibility of investigating uncharacterized human diseases by utilizing the BC method.

developmental biology↗