-
Je něco špatně v tomto záznamu ?
Sequence-Specific Recognition of DNA by Proteins: Binding Motifs Discovered Using a Novel Statistical/Computational Analysis
D. Jakubec, RA. Laskowski, J. Vondrasek,
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články
NLK
Directory of Open Access Journals
od 2006
Free Medical Journals
od 2006
Public Library of Science (PLoS)
od 2006
PubMed Central
od 2006
Europe PubMed Central
od 2006
ProQuest Central
od 2006-12-01
Open Access Digital Library
od 2006-10-01
Open Access Digital Library
od 2006-01-01
Open Access Digital Library
od 2006-01-01
Medline Complete (EBSCOhost)
od 2008-01-01
Nursing & Allied Health Database (ProQuest)
od 2006-12-01
Health & Medicine (ProQuest)
od 2006-12-01
Public Health Database (ProQuest)
od 2006-12-01
ROAD: Directory of Open Access Scholarly Resources
od 2006
- MeSH
- adenin chemie metabolismus MeSH
- aminokyselinové motivy * MeSH
- aminokyseliny chemie metabolismus MeSH
- cytosin chemie metabolismus MeSH
- databáze proteinů MeSH
- DNA vazebné proteiny chemie genetika metabolismus MeSH
- DNA chemie genetika metabolismus MeSH
- guanin chemie metabolismus MeSH
- konformace nukleové kyseliny MeSH
- krystalografie rentgenová MeSH
- molekulární modely MeSH
- statistika jako téma metody MeSH
- terciární struktura proteinů MeSH
- termodynamika MeSH
- thymin chemie metabolismus MeSH
- vazba proteinů MeSH
- vazebná místa genetika MeSH
- výpočetní biologie metody MeSH
- Publikační typ
- časopisecké články MeSH
Decades of intensive experimental studies of the recognition of DNA sequences by proteins have provided us with a view of a diverse and complicated world in which few to no features are shared between individual DNA-binding protein families. The originally conceived direct readout of DNA residue sequences by amino acid side chains offers very limited capacity for sequence recognition, while the effects of the dynamic properties of the interacting partners remain difficult to quantify and almost impossible to generalise. In this work we investigated the energetic characteristics of all DNA residue-amino acid side chain combinations in the conformations found at the interaction interface in a very large set of protein-DNA complexes by the means of empirical potential-based calculations. General specificity-defining criteria were derived and utilised to look beyond the binding motifs considered in previous studies. Linking energetic favourability to the observed geometrical preferences, our approach reveals several additional amino acid motifs which can distinguish between individual DNA bases. Our results remained valid in environments with various dielectric properties.
EMBL EBI Wellcome Trust Genome Campus Hinxton Cambridge United Kingdom
Institute of Organic Chemistry and Biochemistry Prague 6 Czech Republic
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc17031610
- 003
- CZ-PrNML
- 005
- 20171025123055.0
- 007
- ta
- 008
- 171025s2016 xxu f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1371/journal.pone.0158704 $2 doi
- 035 __
- $a (PubMed)27384774
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxu
- 100 1_
- $a Jakubec, David $u Institute of Organic Chemistry and Biochemistry, Prague 6, Czech Republic. Department of Physical and Macromolecular Chemistry, Faculty of Science, Charles University in Prague, Prague 2, Czech Republic.
- 245 10
- $a Sequence-Specific Recognition of DNA by Proteins: Binding Motifs Discovered Using a Novel Statistical/Computational Analysis / $c D. Jakubec, RA. Laskowski, J. Vondrasek,
- 520 9_
- $a Decades of intensive experimental studies of the recognition of DNA sequences by proteins have provided us with a view of a diverse and complicated world in which few to no features are shared between individual DNA-binding protein families. The originally conceived direct readout of DNA residue sequences by amino acid side chains offers very limited capacity for sequence recognition, while the effects of the dynamic properties of the interacting partners remain difficult to quantify and almost impossible to generalise. In this work we investigated the energetic characteristics of all DNA residue-amino acid side chain combinations in the conformations found at the interaction interface in a very large set of protein-DNA complexes by the means of empirical potential-based calculations. General specificity-defining criteria were derived and utilised to look beyond the binding motifs considered in previous studies. Linking energetic favourability to the observed geometrical preferences, our approach reveals several additional amino acid motifs which can distinguish between individual DNA bases. Our results remained valid in environments with various dielectric properties.
- 650 _2
- $a adenin $x chemie $x metabolismus $7 D000225
- 650 12
- $a aminokyselinové motivy $7 D020816
- 650 _2
- $a aminokyseliny $x chemie $x metabolismus $7 D000596
- 650 _2
- $a vazebná místa $x genetika $7 D001665
- 650 _2
- $a výpočetní biologie $x metody $7 D019295
- 650 _2
- $a krystalografie rentgenová $7 D018360
- 650 _2
- $a cytosin $x chemie $x metabolismus $7 D003596
- 650 _2
- $a DNA $x chemie $x genetika $x metabolismus $7 D004247
- 650 _2
- $a DNA vazebné proteiny $x chemie $x genetika $x metabolismus $7 D004268
- 650 _2
- $a databáze proteinů $7 D030562
- 650 _2
- $a guanin $x chemie $x metabolismus $7 D006147
- 650 _2
- $a molekulární modely $7 D008958
- 650 _2
- $a konformace nukleové kyseliny $7 D009690
- 650 _2
- $a vazba proteinů $7 D011485
- 650 _2
- $a terciární struktura proteinů $7 D017434
- 650 _2
- $a statistika jako téma $x metody $7 D013223
- 650 _2
- $a termodynamika $7 D013816
- 650 _2
- $a thymin $x chemie $x metabolismus $7 D013941
- 655 _2
- $a časopisecké články $7 D016428
- 700 1_
- $a Laskowski, Roman A $u EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom.
- 700 1_
- $a Vondrasek, Jiri $u Institute of Organic Chemistry and Biochemistry, Prague 6, Czech Republic.
- 773 0_
- $w MED00180950 $t PloS one $x 1932-6203 $g Roč. 11, č. 7 (2016), s. e0158704
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/27384774 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20171025 $b ABA008
- 991 __
- $a 20171025123137 $b ABA008
- 999 __
- $a ok $b bmc $g 1255203 $s 992637
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2016 $b 11 $c 7 $d e0158704 $e 20160706 $i 1932-6203 $m PLoS One $n PLoS One $x MED00180950
- LZP __
- $a Pubmed-20171025