Zobrazeno 1 - 10
of 752
pro vyhledávání: '"Biomolecular structure"'
Fluorescence-based Techniques to Study the Structure and Dynamics of Mass-selected Biomolecular Ions
Autor:
Prince Tiwari
Publikováno v:
CHIMIA, Vol 75, Iss 4, Pp 252-256 (2021)
Laser-induced fluorescence studies on mass-selected biomolecules are a promising route to understand their properties in the gas phase and probe their intrinsic properties in a solvent-free environment. Fluorescence has been used to investigate the c
Externí odkaz:
https://doaj.org/article/24686fa610b64b39bdc637d2bd6a539d
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-14 (2018)
Abstract Background Advancements in biophysical experimental techniques have pushed the limits in terms of the types of phenomena that can be characterized, the amount of data that can be produced and the resolution at which we can visualize them. Si
Externí odkaz:
https://doaj.org/article/47ccf0f568a24d08930e6fccc9fcdf92
Akademický článek
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Autor:
Stephen K. Burley, Zukang Feng, John D. Westbrook, Andrej Sali, Justin W Flatt, Rachel Kramer Green, Chenghua Shao, Sai J. Ganesan, Sutapa Ghosh, Brinda Vallat, David S. Goodsell, Jeremy Henry, Christine Zardecki, Joan Segura, Ezra Peisach, Charmi Bhikadiya, Catherine L. Lawson, Jose M. Duarte, Brian P. Hudson, Irina Persikova, Chunxiao Bi, Gregg V. Crichlow, Robert Lowe, Monica Sekharan, Jasmine Young, Shamara Whetstone, Li Chen, Vladimir Guranovic, Yu-He Liang, Dennis W Piehl, Maryam Fayazi, Maria Voigt, Sebastian Bittrich, Shuchismita Dutta, Yana Rose
Publikováno v:
Protein Sci
The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB), funded by the US National Science Foundation, National Institutes of Health, and Department of Energy, has served structural biologists and Protein Data Bank (PDB)
Publikováno v:
Nature machine intelligence, 3 (8), 727–734
Nature machine intelligence 3(8), 727-734 (2021). doi:10.1038/s42256-021-00366-3
Nature machine intelligence 3(8), 727-734 (2021). doi:10.1038/s42256-021-00366-3
Molecular simulations are a powerful tool to complement and interpret ambiguous experimental data on biomolecules to obtain structural models. Such data-assisted simulations often rely on parameters, the choice of which is highly non-trivial and cruc
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
Nature Communications
Nature Communications
DNA holds significant promise as a data storage medium due to its density, longevity, and resource and energy conservation. These advantages arise from the inherent biomolecular structure of DNA which differentiates it from conventional storage media
Akademický článek
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Publikováno v:
Nucleic Acids Research
Interactions among amino acid residues are the principal contributor to the stability of the three-dimensional structure of a protein. The Amino Acid Interactions (INTAA) web server (https://bioinfo.uochb.cas.cz/INTAA/) has established itself as a un
Autor:
Morgan L. Nance, Steven J. Bertolani, William R. Schief, Rebecca F. Alford, Daniel W. Kulp, Jason C. Klima, Shourya S. Roy Burman, Yuanhan Wu, Jack Maguire, Jordan R. Willis, Roland L. Dunbrack, Andrew Leaver-Fay, Jason W. Labonte, Aleexsan Adal, Ramya Rangan, Brian Kuhlman, Sergey Lyskov, Jared Adolf-Bryfogle, Justin B. Siegel, Kathy H. Le, Rhiju Das, Jeffrey J. Gray, Brian D. Weitzner, Matt A. Adrianowycz
Publikováno v:
Biophysicist (Rockv)
Biomolecular structure drives function, and computational capabilities have progressed such that the prediction and computational design of biomolecular structures is increasingly feasible. Because computational biophysics attracts students from many
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 19, Iss, Pp 3599-3608 (2021)
Computational and Structural Biotechnology Journal
Computational and Structural Biotechnology Journal
Graphical abstract
Network analysis has emerged as a powerful tool for examining structural biology systems. The spatial organization of the components of a biomolecular structure has been rendered as a graph representation and analyses have bee
Network analysis has emerged as a powerful tool for examining structural biology systems. The spatial organization of the components of a biomolecular structure has been rendered as a graph representation and analyses have bee