| ADAM, Jan, Zdeněk KŘÍŽ, Martin PROKOP, Michaela WIMMEROVÁ and Jaroslav KOČA. In silico mutagenesis and docking studies of Pseudomonas aeruginosa lectin PA-IIL - predicting binding modes and energies. Journal of Chemical Information and Modeling. 2008, vol. 48, No 11, p. 2234-2242, 8 pp. ISSN 1549-9596. |
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@article{784553,
author = {Adam, Jan and Kříž, Zdeněk and Prokop, Martin and Wimmerová, Michaela and Koča, Jaroslav},
article_number = {11},
keywords = {lectins; molecular modeling; computational chemistry; in silico prediction; docking},
language = {eng},
issn = {1549-9596},
journal = {Journal of Chemical Information and Modeling},
title = {In silico mutagenesis and docking studies of Pseudomonas aeruginosa lectin PA-IIL - predicting binding modes and energies},
volume = {48},
year = {2008}
}
TY - JOUR
ID - 784553
AU - Adam, Jan - Kříž, Zdeněk - Prokop, Martin - Wimmerová, Michaela - Koča, Jaroslav
PY - 2008
TI - In silico mutagenesis and docking studies of Pseudomonas aeruginosa lectin PA-IIL - predicting binding modes and energies
JF - Journal of Chemical Information and Modeling
VL - 48
IS - 11
SP - 2234-2242
EP - 2234-2242
SN - 15499596
KW - lectins
KW - molecular modeling
KW - computational chemistry
KW - in silico prediction
KW - docking
N2 - This article is focused on the application of two types of AutoDock and DOCK docking software, and aimed at studying the interaction of a calcium-dependent bacterial lectin PA-IIL from Pseudomonas aeruginosa as well as its mutants with saccharide ligands. The effect of different partial charges assigned to the calcium ions was tested and evaluated in terms of the best agreement with the crystal structure. The results of DOCK were further optimized by molecular dynamics and rescored using AMBER. For both software, the agreement of the docked structures and the provided binding energies were evaluated in terms of prediction accuracy. This was carried out by comparing the computed results to the crystal structures and experimentally determined binding energies, respectively. The performance of the both docking software applied on studied problem was evaluated as well. The molecular docking methods proved efficient in identifying the correct binding modes in terms of geometry, and partially also in predicting the preference changes caused by mutation. Obtaining a reasonable in silico method for the prediction of lectin-saccharide interactions may be possible in the future.
ER -
ADAM, Jan, Zdeněk KŘÍŽ, Martin PROKOP, Michaela WIMMEROVÁ and Jaroslav KOČA. In silico mutagenesis and docking studies of Pseudomonas aeruginosa lectin PA-IIL - predicting binding modes and energies. \textit{Journal of Chemical Information and Modeling}. 2008, vol.~48, No~11, p.~2234-2242, 8 pp. ISSN~1549-9596.
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