Detail
Article
Online article
FT
Medvik - BMC
  • Something wrong with this record ?

Mesoscale explorer: Visual exploration of large-scale molecular models

A. Rose, D. Sehnal, DS. Goodsell, L. Autin

. 2024 ; 33 (10) : e5177. [pub] -

Language English Country United States

Document type Journal Article

Grant support
22-30571M Czech Science Foundation
R01 GM120604 NIGMS NIH HHS - United States
5U54AI170855 NIH HHS - United States
U54 AI170855 NIAID NIH HHS - United States
GM120604 NIH HHS - United States

E-resources Online Full text

NLK Free Medical Journals from 1992 to 1 year ago
PubMed Central from 1992 to 1 year ago
Europe PubMed Central from 1992 to 1 year ago
Medline Complete (EBSCOhost) from 2010-01-01 to 1 year ago
Wiley Free Content from 1996 to 1 year ago

The advent of cryo-electron microscopy (cryo-EM) and cryo-electron tomography (cryo-ET), coupled with computational modeling, has enabled the creation of integrative 3D models of viruses, bacteria, and cellular organelles. These models, composed of thousands of macromolecules and billions of atoms, have historically posed significant challenges for manipulation and visualization without specialized molecular graphics tools and hardware. With the recent advancements in GPU rendering power and web browser capabilities, it is now feasible to render interactively large molecular scenes directly on the web. In this work, we introduce Mesoscale Explorer, a web application built using the Mol* framework, dedicated to the visualization of large-scale molecular models ranging from viruses to cell organelles. Mesoscale Explorer provides unprecedented access and insight into the molecular fabric of life, enhancing perception, streamlining exploration, and simplifying visualization of diverse data types, showcasing the intricate details of these models with unparalleled clarity.

References provided by Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc24018733
003      
CZ-PrNML
005      
20241024111226.0
007      
ta
008      
241015s2024 xxu f 000 0|eng||
009      
AR
024    7_
$a 10.1002/pro.5177 $2 doi
035    __
$a (PubMed)39291955
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxu
100    1_
$a Rose, Alexander $u Independent, San Diego, California, USA
245    10
$a Mesoscale explorer: Visual exploration of large-scale molecular models / $c A. Rose, D. Sehnal, DS. Goodsell, L. Autin
520    9_
$a The advent of cryo-electron microscopy (cryo-EM) and cryo-electron tomography (cryo-ET), coupled with computational modeling, has enabled the creation of integrative 3D models of viruses, bacteria, and cellular organelles. These models, composed of thousands of macromolecules and billions of atoms, have historically posed significant challenges for manipulation and visualization without specialized molecular graphics tools and hardware. With the recent advancements in GPU rendering power and web browser capabilities, it is now feasible to render interactively large molecular scenes directly on the web. In this work, we introduce Mesoscale Explorer, a web application built using the Mol* framework, dedicated to the visualization of large-scale molecular models ranging from viruses to cell organelles. Mesoscale Explorer provides unprecedented access and insight into the molecular fabric of life, enhancing perception, streamlining exploration, and simplifying visualization of diverse data types, showcasing the intricate details of these models with unparalleled clarity.
650    12
$a molekulární modely $7 D008958
650    12
$a elektronová kryomikroskopie $x metody $7 D020285
650    12
$a software $7 D012984
650    _2
$a viry $x chemie $x ultrastruktura $7 D014780
655    _2
$a časopisecké články $7 D016428
700    1_
$a Sehnal, David $u National Centre for Biomolecular Research, Faculty of Science, Masaryk University, Brno, Czech Republic
700    1_
$a Goodsell, David S $u Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, California, USA $u Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA $1 https://orcid.org/0000000259322130 $7 mub2017938991
700    1_
$a Autin, Ludovic $u Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, California, USA $1 https://orcid.org/000000022197191X
773    0_
$w MED00008270 $t Protein science : a publication of the Protein Society $x 1469-896X $g Roč. 33, č. 10 (2024), s. e5177
856    41
$u https://pubmed.ncbi.nlm.nih.gov/39291955 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y - $z 0
990    __
$a 20241015 $b ABA008
991    __
$a 20241024111220 $b ABA008
999    __
$a ok $b bmc $g 2201541 $s 1230706
BAS    __
$a 3
BAS    __
$a PreBMC-MEDLINE
BMC    __
$a 2024 $b 33 $c 10 $d e5177 $e - $i 1469-896X $m Protein science : a publication of the Protein Society $n Protein Sci $x MED00008270
GRA    __
$a 22-30571M $p Czech Science Foundation
GRA    __
$a R01 GM120604 $p NIGMS NIH HHS $2 United States
GRA    __
$a 5U54AI170855 $p NIH HHS $2 United States
GRA    __
$a U54 AI170855 $p NIAID NIH HHS $2 United States
GRA    __
$a GM120604 $p NIH HHS $2 United States
LZP    __
$a Pubmed-20241015

Find record

Citation metrics

Loading data ...

Archiving options

Loading data ...