MISHRA, Sushil Kumar, Jan ADAM, Michaela WIMMEROVÁ and Jaroslav KOČA. In Silico Mutagenesis and Docking Study of Ralstonia solanacearum RSL Lectin: Performance of Docking Software To Predict Saccharide Binding. Journal of Chemical Information and Modeling. WASHINGTON: AMER CHEMICAL SOC, 2012, vol. 52, No 5, p. 1250-1261. ISSN 1549-9596. Available from: https://dx.doi.org/10.1021/ci200529n.
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Basic information
Original name In Silico Mutagenesis and Docking Study of Ralstonia solanacearum RSL Lectin: Performance of Docking Software To Predict Saccharide Binding
Name in Czech In Silico Mutagenesis and Docking Study of Ralstonia solanacearum RSL Lectin: Performance of Docking Software To Predict Saccharide Binding
Authors MISHRA, Sushil Kumar (356 India, belonging to the institution), Jan ADAM (203 Czech Republic, belonging to the institution), Michaela WIMMEROVÁ (203 Czech Republic, belonging to the institution) and Jaroslav KOČA (203 Czech Republic, guarantor, belonging to the institution).
Edition Journal of Chemical Information and Modeling, WASHINGTON, AMER CHEMICAL SOC, 2012, 1549-9596.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10600 1.6 Biological sciences
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 4.304
RIV identification code RIV/00216224:14740/12:00057427
Organization unit Central European Institute of Technology
Doi http://dx.doi.org/10.1021/ci200529n
UT WoS 000304385700017
Keywords in English docking;in silicomutagenesis; lectin; interactions; energy calculations
Tags ok, rivok
Tags International impact, Reviewed
Changed by Changed by: prof. RNDr. Jaroslav Koča, DrSc., učo 610. Changed: 28/1/2017 19:04.
Abstract
In this study, in silico mutagenesis and docking in Ralstonia solanacearum lectin (RSL) were carried out, and the ability of several docking software programs to calculate binding affinity was evaluated. In silico mutation of six amino acid residues (Agr17, Glu28, Gly39, Ala40, Trp76, and Trp81) was done, and a total of 114 in silico mutants of RSL were docked with Me-a-l-fucoside. Our results show that polar residues Arg17 and Glu28, as well as nonpolar amino acids Trp76 and Trp81, are crucial for binding. Gly39 may also influence ligand binding because any mutations at this position lead to a change in the binding pocket shape. The Ala40 residue was found to be the most interesting residue for mutagenesis and can affect the selectivity and/or affinity. In general, the docking software used performs better for high affinity binders and fails to place the binding affinities in the correct order.
Links
ED1.1.00/02.0068, research and development projectName: CEITEC - central european institute of technology
GA303/09/1168, research and development projectName: Lektiny z lidských patogenů - struktura, funkce, inženýrství
Investor: Czech Science Foundation, Lectins from human pathogens - structure, function, engineering
GD301/09/H004, research and development projectName: Molekulární a strukturní biologie vybraných cytostatik. Od mechanistických studií k chemoterapii rakoviny
Investor: Czech Science Foundation
ME08008, research and development projectName: Návrh antibakteriálních a antivirových léků na bázi cukrů a glykomimetik
Investor: Ministry of Education, Youth and Sports of the CR, Design of Carbohydrates and Glycomimetics as Antibacterial and Antiviral Drugs, Research and Development Programme KONTAKT (ME)
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