Noncovalent Interactions in Specific Recognition Motifs of Protein-DNA Complexes
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388963%3A_____%2F17%3A00475097" target="_blank" >RIV/61388963:_____/17:00475097 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216208:11310/17:10368324 RIV/61989592:15310/17:73584596
Výsledek na webu
<a href="http://dx.doi.org/10.1021/acs.jctc.6b00775" target="_blank" >http://dx.doi.org/10.1021/acs.jctc.6b00775</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1021/acs.jctc.6b00775" target="_blank" >10.1021/acs.jctc.6b00775</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Noncovalent Interactions in Specific Recognition Motifs of Protein-DNA Complexes
Popis výsledku v původním jazyce
In-view of the importance of protein-DNA interactions in biological processes, we extracted from the Protein Data Bank several one-to-one complexes of amino acids with nucleotides that matched certain geometric and energetic specificity criteria and investigated them using quantum chemistry methods. The CCSD(T)/CBS interaction energies were used as a benchmark to compare the performance of the MP2.5, MP2-F12, DFT-D3, and PM6-D3H4 methods. All methods yielded good agreement with the reference values, with declining accuracy from MP2.5 to PM6-D3H4. Regardless of the site of interaction, the minima found after full optimization in implicit solvent with high dielectric constant were close to the structures experimentally detected in protein-DNA complexes. According to DFT-SAPT analysis, the nature of noncovalent interactions strongly depends on the type of amino acid. The negatively charged sugar-phosphate backbone of DNA heavily influences the strength of interactions and must be included in the computational model, especially in the case of interactions with charged amino acids.
Název v anglickém jazyce
Noncovalent Interactions in Specific Recognition Motifs of Protein-DNA Complexes
Popis výsledku anglicky
In-view of the importance of protein-DNA interactions in biological processes, we extracted from the Protein Data Bank several one-to-one complexes of amino acids with nucleotides that matched certain geometric and energetic specificity criteria and investigated them using quantum chemistry methods. The CCSD(T)/CBS interaction energies were used as a benchmark to compare the performance of the MP2.5, MP2-F12, DFT-D3, and PM6-D3H4 methods. All methods yielded good agreement with the reference values, with declining accuracy from MP2.5 to PM6-D3H4. Regardless of the site of interaction, the minima found after full optimization in implicit solvent with high dielectric constant were close to the structures experimentally detected in protein-DNA complexes. According to DFT-SAPT analysis, the nature of noncovalent interactions strongly depends on the type of amino acid. The negatively charged sugar-phosphate backbone of DNA heavily influences the strength of interactions and must be included in the computational model, especially in the case of interactions with charged amino acids.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10403 - Physical chemistry
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of Chemical Theory and Computation
ISSN
1549-9618
e-ISSN
—
Svazek periodika
13
Číslo periodika v rámci svazku
2
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
9
Strana od-do
877-885
Kód UT WoS článku
000394924000044
EID výsledku v databázi Scopus
2-s2.0-85012880758