-
Something wrong with this record ?
Visual Analysis of Protein-Protein Interaction Docking Models Using COZOID Tool
J. Byska, A. Jurcik, K. Furmanova, B. Kozlikova, JJ. Palecek
Language English Country United States
Document type Journal Article, Research Support, Non-U.S. Gov't
- MeSH
- Databases, Protein MeSH
- Protein Conformation MeSH
- Humans MeSH
- Protein Interaction Mapping MeSH
- Proteins chemistry MeSH
- Structural Homology, Protein MeSH
- Protein Binding MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
Networks of protein-protein interactions (PPI) constitute either stable or transient complexes in every cell. Most of the cellular complexes keep their function, and therefore stay similar, during evolution. The evolutionary constraints preserve most cellular functions via preservation of protein structures and interactions. The evolutionary conservation information is utilized in template-based approaches, like protein structure modeling or docking. Here we use the combination of the template-free docking method with conservation-based selection of the best docking model using our newly developed COZOID tool.We describe a step-by-step protocol for visual selection of docking models, based on their similarity to the original protein complex structure. Using the COZOID tool, we first analyze contact zones of the original complex structure and select contact amino acids for docking restraints. Then we model and dock the homologous proteins. Finally, we utilize different analytical modes of our COZOID tool to select the docking models most similar to the original complex structure.
Department of Informatics University of Bergen Bergen Norway
Faculty of Informatics Masaryk University Brno Czech Republic
Faculty of Science National Centre for Biomolecular Research Masaryk University Brno Czech Republic
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc21012989
- 003
- CZ-PrNML
- 005
- 20210716110849.0
- 007
- ta
- 008
- 210420s2020 xxu f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1007/978-1-4939-9873-9_7 $2 doi
- 035 __
- $a (PubMed)31583632
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxu
- 100 1_
- $a Byska, Jan $u Department of Informatics, University of Bergen, Bergen, Norway ; Faculty of Informatics, Masaryk University, Brno, Czech Republic
- 245 10
- $a Visual Analysis of Protein-Protein Interaction Docking Models Using COZOID Tool / $c J. Byska, A. Jurcik, K. Furmanova, B. Kozlikova, JJ. Palecek
- 520 9_
- $a Networks of protein-protein interactions (PPI) constitute either stable or transient complexes in every cell. Most of the cellular complexes keep their function, and therefore stay similar, during evolution. The evolutionary constraints preserve most cellular functions via preservation of protein structures and interactions. The evolutionary conservation information is utilized in template-based approaches, like protein structure modeling or docking. Here we use the combination of the template-free docking method with conservation-based selection of the best docking model using our newly developed COZOID tool.We describe a step-by-step protocol for visual selection of docking models, based on their similarity to the original protein complex structure. Using the COZOID tool, we first analyze contact zones of the original complex structure and select contact amino acids for docking restraints. Then we model and dock the homologous proteins. Finally, we utilize different analytical modes of our COZOID tool to select the docking models most similar to the original complex structure.
- 650 _2
- $a databáze proteinů $7 D030562
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a vazba proteinů $7 D011485
- 650 _2
- $a konformace proteinů $7 D011487
- 650 _2
- $a mapování interakce mezi proteiny $7 D025941
- 650 _2
- $a proteiny $x chemie $7 D011506
- 650 _2
- $a strukturní homologie proteinů $7 D040681
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Jurcik, Adam $u Faculty of Informatics, Masaryk University, Brno, Czech Republic
- 700 1_
- $a Furmanova, Katarina $u Faculty of Informatics, Masaryk University, Brno, Czech Republic
- 700 1_
- $a Kozlikova, Barbora $u Faculty of Informatics, Masaryk University, Brno, Czech Republic
- 700 1_
- $a Palecek, Jan J $u Faculty of Science, National Centre for Biomolecular Research, Masaryk University, Brno, Czech Republic. jpalecek@sci.muni.cz ; Mendel Centre for Plant Genomics and Proteomics, Central European Institute of Technology, Masaryk University, Brno, Czech Republic. jpalecek@sci.muni.cz
- 773 0_
- $w MED00180389 $t Methods in molecular biology (Clifton, N.J.) $x 1940-6029 $g Roč. 2074, č. - (2020), s. 81-94
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/31583632 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y p $z 0
- 990 __
- $a 20210420 $b ABA008
- 991 __
- $a 20210716110850 $b ABA008
- 999 __
- $a ok $b bmc $g 1651218 $s 1133368
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2020 $b 2074 $c - $d 81-94 $e - $i 1940-6029 $m Methods in molecular biology $n Methods Mol Biol $x MED00180389
- LZP __
- $a Pubmed-20210420