-
Je něco špatně v tomto záznamu ?
Engineering the Pseudomonas aeruginosa II lectin: designing mutants with changed affinity and specificity
Z. Kříž, J. Adam, J. Mrázková, P. Zotos, T. Chatzipavlou, M. Wimmerová, J. Koča,
Jazyk angličtina Země Nizozemsko
Typ dokumentu časopisecké články, práce podpořená grantem
NLK
ProQuest Central
od 1997-01-01 do Před 1 rokem
Medline Complete (EBSCOhost)
od 2003-01-01 do Před 1 rokem
Health & Medicine (ProQuest)
od 1997-01-01 do Před 1 rokem
- MeSH
- bakteriální adheziny chemie genetika metabolismus MeSH
- design s pomocí počítače MeSH
- lektiny chemie genetika metabolismus MeSH
- metabolismus sacharidů MeSH
- mutace MeSH
- mutageneze * MeSH
- počítačová simulace MeSH
- Pseudomonas aeruginosa chemie genetika metabolismus MeSH
- simulace molekulární dynamiky MeSH
- simulace molekulového dockingu MeSH
- termodynamika MeSH
- vazebná místa MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
This article focuses on designing mutations of the PA-IIL lectin from Pseudomonas aeruginosa that lead to change in specificity. Following the previous results revealing the importance of the amino acid triad 22-23-24 (so-called specificity-binding loop), saturation in silico mutagenesis was performed, with the intent of finding mutations that increase the lectin's affinity and modify its specificity. For that purpose, a combination of docking, molecular dynamics and binding free energy calculation was used. The combination of methods revealed mutations that changed the performance of the wild-type lectin and its mutants to their preferred partners. The mutation at position 22 resulted in 85% in inactivation of the binding site, and the mutation at 23 did not have strong effects thanks to the side chain being pointed away from the binding site. Molecular dynamics simulations followed by binding free energy calculation were performed on mutants with promising results from docking, and also at those where the amino acid at position 24 was replaced for bulkier or longer polar chain. The key mutants were also prepared in vitro and their binding properties determined by isothermal titration calorimetry. Combination of the used methods proved to be able to predict changes in the lectin performance and helped in explaining the data observed experimentally.
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc15023264
- 003
- CZ-PrNML
- 005
- 20150724111425.0
- 007
- ta
- 008
- 150709s2014 ne f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1007/s10822-014-9774-7 $2 doi
- 035 __
- $a (PubMed)25015195
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a ne
- 100 1_
- $a Kříž, Zdeněk $u CEITEC - Central European Institute of Technology, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic.
- 245 10
- $a Engineering the Pseudomonas aeruginosa II lectin: designing mutants with changed affinity and specificity / $c Z. Kříž, J. Adam, J. Mrázková, P. Zotos, T. Chatzipavlou, M. Wimmerová, J. Koča,
- 520 9_
- $a This article focuses on designing mutations of the PA-IIL lectin from Pseudomonas aeruginosa that lead to change in specificity. Following the previous results revealing the importance of the amino acid triad 22-23-24 (so-called specificity-binding loop), saturation in silico mutagenesis was performed, with the intent of finding mutations that increase the lectin's affinity and modify its specificity. For that purpose, a combination of docking, molecular dynamics and binding free energy calculation was used. The combination of methods revealed mutations that changed the performance of the wild-type lectin and its mutants to their preferred partners. The mutation at position 22 resulted in 85% in inactivation of the binding site, and the mutation at 23 did not have strong effects thanks to the side chain being pointed away from the binding site. Molecular dynamics simulations followed by binding free energy calculation were performed on mutants with promising results from docking, and also at those where the amino acid at position 24 was replaced for bulkier or longer polar chain. The key mutants were also prepared in vitro and their binding properties determined by isothermal titration calorimetry. Combination of the used methods proved to be able to predict changes in the lectin performance and helped in explaining the data observed experimentally.
- 650 _2
- $a bakteriální adheziny $x chemie $x genetika $x metabolismus $7 D018829
- 650 _2
- $a vazebná místa $7 D001665
- 650 _2
- $a metabolismus sacharidů $7 D050260
- 650 _2
- $a počítačová simulace $7 D003198
- 650 _2
- $a design s pomocí počítače $7 D017076
- 650 _2
- $a lektiny $x chemie $x genetika $x metabolismus $7 D037102
- 650 _2
- $a simulace molekulového dockingu $7 D062105
- 650 _2
- $a simulace molekulární dynamiky $7 D056004
- 650 12
- $a mutageneze $7 D016296
- 650 _2
- $a mutace $7 D009154
- 650 _2
- $a Pseudomonas aeruginosa $x chemie $x genetika $x metabolismus $7 D011550
- 650 _2
- $a termodynamika $7 D013816
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Adam, Jan $7 xx0116781
- 700 1_
- $a Mrázková, Jana
- 700 1_
- $a Zotos, Petros
- 700 1_
- $a Chatzipavlou, Thomais
- 700 1_
- $a Wimmerová, Michaela
- 700 1_
- $a Koča, Jaroslav
- 773 0_
- $w MED00007803 $t Journal of computer-aided molecular design $x 1573-4951 $g Roč. 28, č. 9 (2014), s. 951-60
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/25015195 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20150709 $b ABA008
- 991 __
- $a 20150724111505 $b ABA008
- 999 __
- $a ok $b bmc $g 1083602 $s 906257
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2014 $b 28 $c 9 $d 951-60 $i 1573-4951 $m Journal of computer-aided molecular design $n J Comput Aided Mol Des $x MED00007803
- LZP __
- $a Pubmed-20150709