-
Something wrong with this record ?
Interactive exploration of ligand transportation through protein tunnels
K. Furmanová, M. Jarešová, J. Byška, A. Jurčík, J. Parulek, H. Hauser, B. Kozlíková,
Language English Country England, Great Britain
Document type Journal Article
NLK
BioMedCentral
from 2000-12-01
BioMedCentral Open Access
from 2000
Directory of Open Access Journals
from 2000
Free Medical Journals
from 2000
PubMed Central
from 2000
Europe PubMed Central
from 2000
ProQuest Central
from 2009-01-01
Open Access Digital Library
from 2000-01-01
Open Access Digital Library
from 2000-07-01
Open Access Digital Library
from 2000-01-01
Medline Complete (EBSCOhost)
from 2000-01-01
Health & Medicine (ProQuest)
from 2009-01-01
ROAD: Directory of Open Access Scholarly Resources
from 2000
Springer Nature OA/Free Journals
from 2000-12-01
- MeSH
- Amino Acids chemistry MeSH
- Catalytic Domain MeSH
- Protein Conformation MeSH
- Ligands MeSH
- Models, Molecular MeSH
- Image Processing, Computer-Assisted MeSH
- Proteins chemistry MeSH
- Molecular Dynamics Simulation * MeSH
- Publication type
- Journal Article MeSH
BACKGROUND: Protein structures and their interaction with ligands have been in the focus of biochemistry and structural biology research for decades. The transportation of ligand into the protein active site is often complex process, driven by geometric and physico-chemical properties, which renders the ligand path full of jitter and impasses. This prevents understanding of the ligand transportation and reasoning behind its behavior along the path. RESULTS: To address the needs of the domain experts we design an explorative visualization solution based on a multi-scale simplification model. It helps to navigate the user to the most interesting parts of the ligand trajectory by exploring different attributes of the ligand and its movement, such as its distance to the active site, changes of amino acids lining the ligand, or ligand "stuckness". The process is supported by three linked views - 3D representation of the simplified trajectory, scatterplot matrix, and bar charts with line representation of ligand-lining amino acids. CONCLUSIONS: The usage of our tool is demonstrated on molecular dynamics simulations provided by the domain experts. The tool was tested by the domain experts from protein engineering and the results confirm that it helps to navigate the user to the most interesting parts of the ligand trajectory and to understand the ligand behavior.
Masaryk University Brno Czech Republic
Masaryk University Brno Czech Republic University of Bergen Bergen Norway
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc17030998
- 003
- CZ-PrNML
- 005
- 20171030115921.0
- 007
- ta
- 008
- 171025s2017 enk f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1186/s12859-016-1448-0 $2 doi
- 035 __
- $a (PubMed)28251878
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a enk
- 100 1_
- $a Furmanová, Katarína $u Masaryk University, Brno, Czech Republic.
- 245 10
- $a Interactive exploration of ligand transportation through protein tunnels / $c K. Furmanová, M. Jarešová, J. Byška, A. Jurčík, J. Parulek, H. Hauser, B. Kozlíková,
- 520 9_
- $a BACKGROUND: Protein structures and their interaction with ligands have been in the focus of biochemistry and structural biology research for decades. The transportation of ligand into the protein active site is often complex process, driven by geometric and physico-chemical properties, which renders the ligand path full of jitter and impasses. This prevents understanding of the ligand transportation and reasoning behind its behavior along the path. RESULTS: To address the needs of the domain experts we design an explorative visualization solution based on a multi-scale simplification model. It helps to navigate the user to the most interesting parts of the ligand trajectory by exploring different attributes of the ligand and its movement, such as its distance to the active site, changes of amino acids lining the ligand, or ligand "stuckness". The process is supported by three linked views - 3D representation of the simplified trajectory, scatterplot matrix, and bar charts with line representation of ligand-lining amino acids. CONCLUSIONS: The usage of our tool is demonstrated on molecular dynamics simulations provided by the domain experts. The tool was tested by the domain experts from protein engineering and the results confirm that it helps to navigate the user to the most interesting parts of the ligand trajectory and to understand the ligand behavior.
- 650 _2
- $a aminokyseliny $x chemie $7 D000596
- 650 _2
- $a katalytická doména $7 D020134
- 650 _2
- $a počítačové zpracování obrazu $7 D007091
- 650 _2
- $a ligandy $7 D008024
- 650 _2
- $a molekulární modely $7 D008958
- 650 12
- $a simulace molekulární dynamiky $7 D056004
- 650 _2
- $a konformace proteinů $7 D011487
- 650 _2
- $a proteiny $x chemie $7 D011506
- 655 _2
- $a časopisecké články $7 D016428
- 700 1_
- $a Jarešová, Miroslava $u Masaryk University, Brno, Czech Republic.
- 700 1_
- $a Byška, Jan $u Masaryk University, Brno, Czech Republic. jan.byska@gmail.com. University of Bergen, Bergen, Norway. jan.byska@gmail.com.
- 700 1_
- $a Jurčík, Adam $u Masaryk University, Brno, Czech Republic.
- 700 1_
- $a Parulek, Július $u University of Bergen, Bergen, Norway.
- 700 1_
- $a Hauser, Helwig $u University of Bergen, Bergen, Norway.
- 700 1_
- $a Kozlíková, Barbora $u Masaryk University, Brno, Czech Republic.
- 773 0_
- $w MED00008167 $t BMC bioinformatics $x 1471-2105 $g Roč. 18, Suppl 2 (2017), s. 22
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/28251878 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20171025 $b ABA008
- 991 __
- $a 20171030120010 $b ABA008
- 999 __
- $a ok $b bmc $g 1254591 $s 992025
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2017 $b 18 $c Suppl 2 $d 22 $e 20170215 $i 1471-2105 $m BMC bioinformatics $n BMC Bioinformatics $x MED00008167
- LZP __
- $a Pubmed-20171025