High-performance macromolecular data delivery and visualization
for the web

J 2020

High-performance macromolecular data delivery and visualization for the web

SEHNAL, David, Radka SVOBODOVÁ, Karel BERKA, Alexander S. ROSE, Stephen K. BURLEY et. al.

Basic information

Original name

High-performance macromolecular data delivery and visualization for the web

Authors

SEHNAL, David (203 Czech Republic, guarantor, belonging to the institution), Radka SVOBODOVÁ (203 Czech Republic, belonging to the institution), Karel BERKA, Alexander S. ROSE, Stephen K. BURLEY, Sameer VELANKAR and Jaroslav KOČA (203 Czech Republic, belonging to the institution)

Edition

Acta Crystallographica Section D: Structural Biology, Chester, International Union of Crystallography, 2020, 2059-7983

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10608 Biochemistry and molecular biology

Country of publisher

United Kingdom of Great Britain and Northern Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 7.652

RIV identification code

RIV/00216224:14740/20:00117882

Organization unit

Central European Institute of Technology

DOI

http://dx.doi.org/10.1107/S2059798320014515

UT WoS

000596508400002

Keywords in English

data delivery; visualization; macromolecules; browser- based; web- based

Abstract

V originále

Biomacromolecular structural data make up a vital and crucial scientific resource that has grown not only in terms of its amount but also in its size and complexity. Furthermore, these data are accompanied by large and increasing amounts of experimental data. Additionally, the macromolecular data are enriched with value-added annotations describing their biological, physicochemical and structural properties. Today, the scientific community requires fast and fully interactive web visualization to exploit this complex structural information. This article provides a survey of the available cutting-edge web services that address this challenge. Specifically, it focuses on data-delivery problems, discusses the visualization of a single structure, including experimental data and annotations, and concludes with a focus on the results of molecular-dynamics simulations and the visualization of structural ensembles.

Links

EF16_013/0001777, research and development project

Name: ELIXIR-CZ: Budování kapacit

LM2018131, research and development project

Name: Česká národní infrastruktura pro biologická data (Acronym: ELIXIR-CZ)

Investor: Ministry of Education, Youth and Sports of the CR, Czech National Infrastructure for Biological Data

Citovat

SEHNAL, David, Radka SVOBODOVÁ, Karel BERKA, Alexander S. ROSE, Stephen K. BURLEY, Sameer VELANKAR and Jaroslav KOČA. High-performance macromolecular data delivery and visualization for the web. Acta Crystallographica Section D: Structural Biology. Chester: International Union of Crystallography, 2020, vol. 76, December 2020, p. 1167-1173. ISSN 2059-7983. Available from: https://dx.doi.org/10.1107/S2059798320014515.

@article{1730510,
   author = {Sehnal, David and Svobodová, Radka and Berka, Karel and Rose, Alexander S. and Burley, Stephen K. and Velankar, Sameer and Koča, Jaroslav},
   article_location = {Chester},
   article_number = {December 2020},
   doi = {http://dx.doi.org/10.1107/S2059798320014515},
   keywords = {data delivery; visualization; macromolecules; browser- based; web- based},
   language = {eng},
   issn = {2059-7983},
   journal = {Acta Crystallographica Section D: Structural Biology},
   title = {High-performance macromolecular data delivery and visualization for the web},
   url = {https://doi.org/10.1107/S2059798320014515},
   volume = {76},
   year = {2020}
}

TY  - JOUR
ID  - 1730510
AU  - Sehnal, David - Svobodová, Radka - Berka, Karel - Rose, Alexander S. - Burley, Stephen K. - Velankar, Sameer - Koča, Jaroslav
PY  - 2020
TI  - High-performance macromolecular data delivery and visualization for the web
JF  - Acta Crystallographica Section D: Structural Biology
VL  - 76
IS  - December 2020
SP  - 1167-1173
EP  - 1167-1173
PB  - International Union of Crystallography
SN  - 20597983
KW  - data delivery
KW  - visualization
KW  - macromolecules
KW  - browser- based
KW  - web- based
UR  - https://doi.org/10.1107/S2059798320014515
L2  - https://doi.org/10.1107/S2059798320014515
N2  - Biomacromolecular structural data make up a vital and crucial scientific resource that has grown not only in terms of its amount but also in its size and complexity. Furthermore, these data are accompanied by large and increasing amounts of experimental data. Additionally, the macromolecular data are enriched with value-added annotations describing their biological, physicochemical and structural properties. Today, the scientific community requires fast and fully interactive web visualization to exploit this complex structural information. This article provides a survey of the available cutting-edge web services that address this challenge. Specifically, it focuses on data-delivery problems, discusses the visualization of a single structure, including experimental data and annotations, and concludes with a focus on the results of molecular-dynamics simulations and the visualization of structural ensembles.
ER  -

SEHNAL, David, Radka SVOBODOVÁ, Karel BERKA, Alexander S. ROSE, Stephen K. BURLEY, Sameer VELANKAR and Jaroslav KOČA. High-performance macromolecular data delivery and visualization for the web. \textit{Acta Crystallographica Section D: Structural Biology}. Chester: International Union of Crystallography, 2020, vol.~76, December 2020, p.~1167-1173. ISSN~2059-7983. Available from: https://dx.doi.org/10.1107/S2059798320014515.

Detailed Information on Publication Record