Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Songye, Chen"'
Autor:
Davi R. Ortega, Wen Yang, Poorna Subramanian, Petra Mann, Andreas Kjær, Songye Chen, Kylie J. Watts, Sahand Pirbadian, David A. Collins, Romain Kooger, Marina G. Kalyuzhnaya, Simon Ringgaard, Ariane Briegel, Grant J. Jensen
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
Bacterial chemosensory systems are grouped into 17 flagellar classes (F1-17). Here the authors employ electron cryotomography and comparative genomics to characterise the chemosensory arrays in γ-proteobacteria and identify a structural distinct for
Externí odkaz:
https://doaj.org/article/fd317ed2ceab43ea8273e0e5054c8c8f
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 10, p e28039 (2021)
BackgroundIn pulse signal analysis and identification, time domain and time frequency domain analysis methods can obtain interpretable structured data and build classification models using traditional machine learning methods. Unstructured data, such
Externí odkaz:
https://doaj.org/article/1baf5fbe44d44ed88eba09e5e498cc3e
Autor:
Tristan Bepler, Andrew J. Borst, Jonathan Bouvette, Giuseppe Cannone, Songye Chen, Anchi Cheng, Ao Cheng, Quanfu Fan, Fanis Grollios, Harshit Gupta, Meghna Gupta, Theo Humphreys, Paul T. Kim, Huihui Kuang, Yilai Li, Alex J. Noble, Ali Punjani, William J. Rice, Carlos Oscar S. Sorzano, Scott M. Stagg, Joshua Strauss, Lingbo Yu, Bridget Carragher, Clinton S. Potter
Publikováno v:
Journal of structural biology. 214(4)
This report provides an overview of the discussions, presentations, and consensus thinking from the Workshop on Smart Data Collection for CryoEM held at the New York Structural Biology Center on April 6-7, 2022. The goal of the workshop was to addres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65e2fcb84003f84ad7b748d599572c7a
https://pubmed.ncbi.nlm.nih.gov/36341954
https://pubmed.ncbi.nlm.nih.gov/36341954
Publikováno v:
J Struct Biol
Cryo-electron tomography provides detailed views of macromolecules in situ. However, imaging a large field of view to provide more cellular context requires reducing magnification during data collection, which in turn restricts the resolution. To cir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd2a0d8795b6bf9606902da021655e30
https://pubmed.ncbi.nlm.nih.gov/35487464
https://pubmed.ncbi.nlm.nih.gov/35487464
Autor:
Lauren Ann Metskas, Grant J. Jensen, George J. Lu, Przemysław Dutka, Mikhail G. Shapiro, Dina Malounda, Songye Chen, Robert C. Hurt
Publikováno v:
Protein Sci
Gas vesicles (GVs) are cylindrical or spindle‐shaped protein nanostructures filled with air and used for flotation by various cyanobacteria, heterotrophic bacteria, and Archaea. Recently, GVs have gained interest in biotechnology applications due t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e5c4107acb7bf6ac692f56a0ae92bea
https://resolver.caltech.edu/CaltechAUTHORS:20210125-082358436
https://resolver.caltech.edu/CaltechAUTHORS:20210125-082358436
BACKGROUND In pulse signal analysis and identification, time domain and time frequency domain analysis methods can obtain interpretable structured data and build classification models using traditional machine learning methods. Unstructured data, suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5347ca2124a0ebdf3c6862b0a411804a
https://doi.org/10.2196/preprints.28039
https://doi.org/10.2196/preprints.28039
Autor:
Dina Malounda, Lauren Ann Metskas, Grant J. Jensen, George J. Lu, Przemysław Dutka, Robert C. Hurt, Mikhail G. Shapiro, Songye Chen
Gas vesicles (GVs) are cylindrical or spindle-shaped protein nanostructures filled with air and used for flotation by various cyanobacteria, heterotrophic bacteria, and Archaea. Recently, GVs have gained interest in biotechnology applications due to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2a881efcc764fbde25e4b15fe460208
https://doi.org/10.1101/2021.01.22.427725
https://doi.org/10.1101/2021.01.22.427725
Autor:
Ariane Briegel, Petra Mann, Grant J. Jensen, Sahand Pirbadian, Andreas Kjaer, Poorna Subramanian, Marina G. Kalyuzhnaya, Romain Kooger, Kylie J. Watts, Songye Chen, Simon Ringgaard, David A. Collins, Davi R. Ortega, Wen Yang
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
Nature Communications, 11 (1)
Nature Communications
Nature Communications, 11, 2041
Nature Communications, 11 (1)
Nature Communications
Nature Communications, 11, 2041
How complex, multi-component macromolecular machines evolved remains poorly understood. Here we reveal the evolutionary origins of the chemosensory machinery that controls flagellar motility in Escherichia coli. We first identify ancestral forms stil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abaa740ff47e180a62e9ca6d4ddf1501
https://hdl.handle.net/1887/3134918
https://hdl.handle.net/1887/3134918
Autor:
Duncan C. Krause, Jian Shi, Songye Chen, Edward S. Sheppard, Ashley J. Jensen, Grant J. Jensen
Publikováno v:
Molecular Microbiology. 108:306-318
The Mycoplasma pneumoniae terminal organelle functions in adherence and gliding motility and is comprised of at least eleven substructures. We used electron cryotomography to correlate impaired gliding and adherence function with changes in architect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a86314c6d98a3817fbb3dc3c62a2ebc
https://doi.org/10.1111/mmi.13937
https://doi.org/10.1111/mmi.13937
Publikováno v:
JMIR Medical Informatics
Background In pulse signal analysis and identification, time domain and time frequency domain analysis methods can obtain interpretable structured data and build classification models using traditional machine learning methods. Unstructured data, suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::490eaa2f33859ba14465e45d9b2b0903
https://doi.org/10.2196/28039
https://doi.org/10.2196/28039