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Preprints of the Keldysh Institute of Applied Mathematics, 2019, 061, 14 pp.
DOI: https://doi.org/10.20948/prepr-2019-61
(Mi ipmp2699)
 

This article is cited in 4 scientific papers (total in 4 papers)

Hypsometric mapping based visualization of (bio)macromolecular 3D structures

S. V. Filippov, R. V. Polozov, V. S. Sivozhelezov
References:
Abstract: The «hypsometric» maps used in cartography are herein adapted to represent and analyze 3D organization of biomacromolecular and nonbiological nanostructures, especially those with cylindrical symmetry. 3D models of (bio)macromolecules are projection-mapped onto planes to show the mutual position of atoms, while the depth on projection planes is color-coded to display the relative positions of atoms. The method is implemented as a Python-program within in the environment of Blender 3D-editor.
Keywords: hypsometric map, visualization, spatial structure, macromolecule, 3D, Blender.
Funding agency Grant number
Russian Foundation for Basic Research 18-07-00354_а
Bibliographic databases:
Document Type: Preprint
Language: Russian
Citation: S. V. Filippov, R. V. Polozov, V. S. Sivozhelezov, “Hypsometric mapping based visualization of (bio)macromolecular 3D structures”, Keldysh Institute preprints, 2019, 061, 14 pp.
Citation in format AMSBIB
\Bibitem{FilPolSiv19}
\by S.~V.~Filippov, R.~V.~Polozov, V.~S.~Sivozhelezov
\paper Hypsometric mapping based visualization of (bio)macromolecular 3D structures
\jour Keldysh Institute preprints
\yr 2019
\papernumber 061
\totalpages 14
\mathnet{http://mi.mathnet.ru/ipmp2699}
\crossref{https://doi.org/10.20948/prepr-2019-61}
\elib{https://elibrary.ru/item.asp?id=38245564}
Linking options:
  • https://www.mathnet.ru/eng/ipmp2699
  • https://www.mathnet.ru/eng/ipmp/y2019/p61
  • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Препринты Института прикладной математики им. М. В. Келдыша РАН
    Statistics & downloads:
    Abstract page:107
    Full-text PDF :148
    References:8
     
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