Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Maxim Shapovalov"'
Autor:
Andrew Birkey, Heather A. Ford, Megan Anderson, Joseph S. Byrnes, Maximiliano J. Bezada, Maxim Shapovalov
Publikováno v:
Lithosphere, Vol 2024, Iss 3 (2024)
Dense seismic arrays such as EarthScope’s Transportable Array (TA) have enabled high-resolution seismic observations that show the structure of cratonic lithosphere is more heterogeneous and complex than previously assumed. In this study, we pair T
Externí odkaz:
https://doaj.org/article/007a23f0e2c445a69f4d077d572f4acf
Autor:
Jared Adolf-Bryfogle, Jason W Labonte, John C Kraft, Maxim Shapovalov, Sebastian Raemisch, Thomas Lütteke, Frank DiMaio, Christopher D Bahl, Jesper Pallesen, Neil P King, Jeffrey J Gray, Daniel W Kulp, William R Schief
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 6, p e1011895 (2024)
Carbohydrates and glycoproteins modulate key biological functions. However, experimental structure determination of sugar polymers is notoriously difficult. Computational approaches can aid in carbohydrate structure prediction, structure determinatio
Externí odkaz:
https://doaj.org/article/5de12898393041bbb087434f918ee19f
Publikováno v:
PLoS ONE, Vol 15, Iss 5, p e0232528 (2020)
Protein secondary structure prediction remains a vital topic with broad applications. Due to lack of a widely accepted standard in secondary structure predictor evaluation, a fair comparison of predictors is challenging. A detailed examination of fac
Externí odkaz:
https://doaj.org/article/b067861708474aa8b824924060e7855d
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 3, p e1006844 (2019)
Protein loops connect regular secondary structures and contain 4-residue beta turns which represent 63% of the residues in loops. The commonly used classification of beta turns (Type I, I', II, II', VIa1, VIa2, VIb, and VIII) was developed in the 197
Externí odkaz:
https://doaj.org/article/a7997c0e52a944b49a011e076a9a9646
Publikováno v:
PLoS Computational Biology, Vol 6, Iss 4, p e1000763 (2010)
Distributions of the backbone dihedral angles of proteins have been studied for over 40 years. While many statistical analyses have been presented, only a handful of probability densities are publicly available for use in structure validation and str
Externí odkaz:
https://doaj.org/article/1cf6d30617ee43cbad901d1b339e3f60
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9783031166501
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::314afb8135cdbdf9f84d952ccf841e2f
https://doi.org/10.1007/978-3-031-16651-8_8
https://doi.org/10.1007/978-3-031-16651-8_8
Publikováno v:
Goldschmidt2022 abstracts.
Publikováno v:
PLoS ONE, Vol 15, Iss 5, p e0232528 (2020)
PLoS ONE
PLoS ONE
Protein secondary structure prediction remains a vital topic with improving accuracy and broad applications. By using deep learning algorithms, prediction methods not relying on structure templates were recently reported to reach as high as 87% accur