Academic literature on the topic 'Single-molecule biophysic'

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Journal articles on the topic "Single-molecule biophysic"

1

Noji, Hroyuki. "SINGLE MOLECULE BIOPHYSICS OF F_1-ATPase motor protein." Proceedings of the Asian Pacific Conference on Biomechanics : emerging science and technology in biomechanics 2007.3 (2007): S1. http://dx.doi.org/10.1299/jsmeapbio.2007.3.s1.

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2

Weng, Zhuangfeng, Yuan Shang, Zeyang Ji, et al. "Structural Basis of Highly Specific Interaction between Nephrin and MAGI1 in Slit Diaphragm Assembly and Signaling." Journal of the American Society of Nephrology 29, no. 9 (2018): 2362–71. http://dx.doi.org/10.1681/asn.2017121275.

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BackgroundThe slit diaphragm is a specialized adhesion junction between opposing podocytes, establishing the final filtration barrier that prevents passage of proteins from the capillary lumen into the urinary space. Nephrin, the key structural and signaling adhesion molecule expressed in the slit diaphragm, contains an evolutionally conserved, atypical PDZ-binding motif (PBM) reported to bind to a variety of proteins in the slit diaphragm. Several mutations in NPHS1 (the gene encoding nephrin) that result in nephrin lacking an intact PBM are associated with glomerular diseases. However, the molecular basis of nephrin-PBM–mediated protein complexes is still unclear.MethodsUsing a combination of biochemic, biophysic, and cell biologic approaches, we systematically investigated the interactions between nephrin-PBM and PDZ domain–containing proteins in the slit diaphragm.ResultsWe found that nephrin-PBM specifically binds to one member of the membrane-associated guanylate kinase family of scaffolding proteins, MAGI1, but not to another, MAGI2. The complex structure of MAGI1-PDZ3/nephrin-PBM reveals that the Gly at the −3 position of nephrin-PBM is the determining feature for MAGI1-PDZ3 recognition, which sharply contrasts with the typical PDZ/PBM binding mode. A single gain-of-function mutation within MAGI2 enabled nephrin-PBM binding. In addition, using our structural analysis, we developed a highly efficient inhibitory peptide capable of specifically blocking the nephrin/MAGI1 interaction.ConclusionsMAGI1 interacts with nephrin-PBM with exquisite specificity. A newly developed, potent inhibitory peptide that blocks this interaction may be useful for future functional investigations in vivo. Our findings also provide possible explanations for the diseases caused by NPHS1 mutations.
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LI, Chun-Biu, and Tamiki KOMATSUZAKI. "Handling Noisy Data from Single Molecule Experiments." Seibutsu Butsuri 54, no. 5 (2014): 257–58. http://dx.doi.org/10.2142/biophys.54.257.

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4

Joshi, Prakash, and Partha Pratim Mondal. "Single-Molecule Clustering for Super-Resolution Optical Fluorescence Microscopy." Photonics 9, no. 1 (2021): 7. http://dx.doi.org/10.3390/photonics9010007.

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Molecular assembly in a complex cellular environment is vital for understanding underlying biological mechanisms. Biophysical parameters (such as single-molecule cluster density, cluster-area, pairwise distance, and number of molecules per cluster) related to molecular clusters directly associate with the physiological state (healthy/diseased) of a cell. Using super-resolution imaging along with powerful clustering methods (K-means, Gaussian mixture, and point clustering), we estimated these critical biophysical parameters associated with dense and sparse molecular clusters. We investigated Hemaglutinin (HA) molecules in an Influenza type A disease model. Subsequently, clustering parameters were estimated for transfected NIH3T3 cells. Investigations on test sample (randomly generated clusters) and NIH3T3 cells (expressing Dendra2-Hemaglutinin (Dendra2-HA) photoactivable molecules) show a significant disparity among the existing clustering techniques. It is observed that a single method is inadequate for estimating all relevant biophysical parameters accurately. Thus, a multimodel approach is necessary in order to characterize molecular clusters and determine critical parameters. The proposed study involving optical system development, photoactivable sample synthesis, and advanced clustering methods may facilitate a better understanding of single molecular clusters. Potential applications are in the emerging field of cell biology, biophysics, and fluorescence imaging.
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Kinz-Thompson, Colin D., Korak Kumar Ray, and Ruben L. Gonzalez. "Bayesian Inference: The Comprehensive Approach to Analyzing Single-Molecule Experiments." Annual Review of Biophysics 50, no. 1 (2021): 191–208. http://dx.doi.org/10.1146/annurev-biophys-082120-103921.

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Biophysics experiments performed at single-molecule resolution provide exceptional insight into the structural details and dynamic behavior of biological systems. However, extracting this information from the corresponding experimental data unequivocally requires applying a biophysical model. In this review, we discuss how to use probability theory to apply these models to single-molecule data. Many current single-molecule data analysis methods apply parts of probability theory, sometimes unknowingly, and thus miss out on the full set of benefits provided by this self-consistent framework. The full application of probability theory involves a process called Bayesian inference that fully accounts for the uncertainties inherent to single-molecule experiments. Additionally, using Bayesian inference provides a scientifically rigorous method of incorporating information from multiple experiments into a single analysis and finding the best biophysical model for an experiment without the risk of overfitting the data. These benefits make the Bayesian approach ideal for analyzing any type of single-molecule experiment.
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Gopich, Irina V. "2SD0925 Theory of single-molecule photon trajectories and FRET efficiency distributions(2SD Bridging Single Molecule Biophysics and System Biology:New Experimental and Theoretical Challenges,The 48th Annual Meeting of the Biophysical Society of Japan)." Seibutsu Butsuri 50, supplement2 (2010): S12. http://dx.doi.org/10.2142/biophys.50.s12_2.

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Ritchie, Ken. "S01H3 Single molecule imaging of diffusion in E. Coll membranes(Systems Biology of Intracellular Signaling as Studied by Single-Molecule Imaging)." Seibutsu Butsuri 47, supplement (2007): S1. http://dx.doi.org/10.2142/biophys.47.s1_3.

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Cao, Jianshu. "1S5-5 Generic models for single molecule biological processes : Generic models for single molecule biological processes(1S5 Linking single molecule spectroscopy and energy landscape perspectives,The 46th Annual Meeting of the Biophysical Society of Japan)." Seibutsu Butsuri 48, supplement (2008): S5. http://dx.doi.org/10.2142/biophys.48.s5_1.

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9

Sei, Kazuto, Akinori Baba, Chun Biu Li, and Tamiki Komatsuzaki. "1P537 Randomness and Memory in Single Molecule Time Series(26. Single molecule biophysics,Poster Session,Abstract,Meeting Program of EABS & BSJ 2006)." Seibutsu Butsuri 46, supplement2 (2006): S281. http://dx.doi.org/10.2142/biophys.46.s281_1.

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10

Fernandez, Julio M. "S3B1 Protein mechanics studied with single molecule AFM techniques.(Single Molecure Dynamics and Reactions)." Seibutsu Butsuri 42, supplement2 (2002): S13. http://dx.doi.org/10.2142/biophys.42.s13_4.

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