Aqueous Molecular Dynamics Simulations of the M-tuberculosis Enoyl-ACP Reductase-NADH System and Its Complex with a Substrate Mimic or Diphenyl Ethers Inhibitors

被引:18
作者
da Silva Lima, Camilo Henrique [1 ,2 ]
de Alencastro, Ricardo Bicca [1 ]
Kaiser, Carlos Roland [1 ]
Nora de Souza, Marcus Vinicius [1 ,2 ]
Rodrigues, Carlos Rangel [3 ]
Albuquerque, Magaly Girao [1 ]
机构
[1] Univ Fed Rio de Janeiro, Inst Quim, Grad Program Chem, BR-21949900 Rio De Janeiro, RJ, Brazil
[2] Fiocruz MS, Oswaldo Cruz Fdn, FarManguinhos, Inst Pharmaceut Technol, BR-21041250 Rio De Janeiro, RJ, Brazil
[3] Univ Fed Rio de Janeiro, Coll Pharm, Grad Program Pharmaceut Sci, Fac Farm, BR-21949900 Rio De Janeiro, RJ, Brazil
关键词
Mycobacterium tuberculosis; enoyl-ACP reductase (InhA); molecular dynamics simulation; diphenyl ethers inhibitors; triclosan derivatives; water-bridge hydrogen bond; CARRIER PROTEIN REDUCTASE; SINGLE NUCLEOTIDE POLYMORPHISMS; INHA INHIBITORS; ANTIBACTERIAL ACTIVITY; CONFORMATIONAL-CHANGES; STAPHYLOCOCCUS-AUREUS; DOCKING ALGORITHMS; BINDING LOOP; FORCE-FIELD; TRICLOSAN;
D O I
10.3390/ijms161023695
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
Molecular dynamics (MD) simulations of 12 aqueous systems of the NADH-dependent enoyl-ACP reductase from Mycobacterium tuberculosis (InhA) were carried out for up to 20-40 ns using the GROMACS 4.5 package. Simulations of the holoenzyme, holoenzyme-substrate, and 10 holoenzyme-inhibitor complexes were conducted in order to gain more insight about the secondary structure motifs of the InhA substrate-binding pocket. We monitored the lifetime of the main intermolecular interactions: hydrogen bonds and hydrophobic contacts. Our MD simulations demonstrate the importance of evaluating the conformational changes that occur close to the active site of the enzyme-cofactor complex before and after binding of the ligand and the influence of the water molecules. Moreover, the protein-inhibitor total steric (E-LJ) and electrostatic (E-C) interaction energies, related to Gly96 and Tyr158, are able to explain 80% of the biological response variance according to the best linear equation, pK(i) = 7.772 - 0.1885 x Gly96 + 0.0517 x Tyr158 (R-2 = 0.80; n = 10), where interactions with Gly96, mainly electrostatic, increase the biological response, while those with Tyr158 decrease. These results will help to understand the structure-activity relationships and to design new and more potent anti-TB drugs.
引用
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页码:23695 / 23722
页数:28
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