Effective interaction studies for inhibition of DNA ligase protein from Staphylococcus aureus

被引:14
作者
Vijayalakshmi, Periyasamy [1 ]
Daisy, Pitchai [1 ]
机构
[1] Holy Cross Coll Autonomous, Bioinformat Ctr BIF, PG & Res Dept Biotechnol & Bioinformat, Tiruchirappalli 620002, Tamil Nadu, India
关键词
ADME; DNA ligase; molecular docking; QM/MM; Staphylococcus aureus; virtual screening; ANTIMICROBIAL SUSCEPTIBILITY PATTERNS; DRUG DISCOVERY; ESTIMATE SOLUBILITY; MOLECULAR DOCKING; ESCHERICHIA-COLI; FREE-ENERGIES; BINDING; GENE; PERMEABILITY; PROGRAM;
D O I
10.3109/10799893.2014.926924
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Staphylococcus aureus has been recognized as an important human pathogen for more than 100 years. It is among the most important causative agent of human infections in the twenty-first century. DNA ligase is the main protein responsible for the replication of S. aureus. In order to control the replication mechanism, DNA ligase is a successive drug target, hence we have chosen this protein for this study. We performed virtual screening using ZINC database for identification of potent inhibitor against DNA ligase. Based on the scoring methods, we have selected best five compounds from the ZINC database. In order to improve the accuracy, selected compounds were subjected into Quantum Polarized Ligand Docking (QPLD) docking, for which the results showed high docking score, compared to glide docking score. QPLD is more accurate as it includes charges in the scoring function, which was not available in the glide docking. Binding energy calculation results also indicated that selected compounds have good binding capacity with the target protein. In addition, these compounds on screening have good absorption, distribution, metabolism, excretion and toxicity property. In this study, we identified few compounds that particularly work against DNA ligase protein, having better interaction phenomenon and it would help further the experimental analysis.
引用
收藏
页码:15 / 25
页数:11
相关论文
共 40 条
  • [1] [Anonymous], 2011, QIKPROP VERS 3 3
  • [2] A METHOD TO IDENTIFY PROTEIN SEQUENCES THAT FOLD INTO A KNOWN 3-DIMENSIONAL STRUCTURE
    BOWIE, JU
    LUTHY, R
    EISENBERG, D
    [J]. SCIENCE, 1991, 253 (5016) : 164 - 170
  • [3] Chaudhari UP, 2010, INT J CHEMTECH RES, V2, P122
  • [4] Drug-like Bioactive Structures and Conformational Coverage with the LigPrep/ConfGen Suite: Comparison to Programs MOE and Catalyst
    Chen, I-Jen
    Foloppe, Nicolas
    [J]. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2010, 50 (05) : 822 - 839
  • [5] Importance of accurate charges in molecular docking: Quantum mechanical/molecular mechanical (QM/MM) approach
    Cho, AE
    Guallar, V
    Berne, BJ
    Friesner, R
    [J]. JOURNAL OF COMPUTATIONAL CHEMISTRY, 2005, 26 (09) : 915 - 931
  • [6] Targeting Multidrug Resistant Mycobacterium tuberculosis HtrA2 with Identical Chemical Entities of Fluoroquinolones
    Daisy, P.
    Vijayalakshmi, P.
    Selvaraj, C.
    Singh, S. K.
    Saipriya, K.
    [J]. INDIAN JOURNAL OF PHARMACEUTICAL SCIENCES, 2012, 74 (03) : 217 - 222
  • [7] Prediction of Potency of Protease Inhibitors Using Free Energy Simulations with Polarizable Quantum Mechanics-Based Ligand Charges and a Hybrid Water Model
    Das, Debananda
    Koh, Yasuhiro
    Tojo, Yasushi
    Ghosh, Arun K.
    Mitsuya, Hiroaki
    [J]. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2009, 49 (12) : 2851 - 2862
  • [8] Optimal docking area: A new method for predicting protein-protein interaction sites
    Fernandez-Recio, J
    Totrov, M
    Skorodumov, C
    Abagyan, R
    [J]. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2005, 58 (01) : 134 - 143
  • [9] Identifying and Characterizing Binding Sites and Assessing Druggability
    Halgren, Thomas A.
    [J]. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2009, 49 (02) : 377 - 389
  • [10] New method for fast and accurate binding-site identification and analysis
    Halgren, Tom
    [J]. CHEMICAL BIOLOGY & DRUG DESIGN, 2007, 69 (02) : 146 - 148