Department of Biophysics, All India Institute of Medical Sciences, New Delhi 110029, India.
Department of Chemistry, Indian Institute of Technology, Delhi 110016, India.
J Chem Inf Model. 2022 Apr 11;62(7):1744-1759. doi: 10.1021/acs.jcim.1c01421. Epub 2022 Mar 25.
is a multidrug-resistant, opportunistic, nosocomial pathogen for which a new line of treatments is desperately needed. We have targeted the enzyme of the first step of the histidine biosynthesis pathway, viz., ATP-phosphoribosyltransferase (ATP-PRT). The three-dimensional structure of ATP-PRT was predicted on the template of the known three-dimensional structure of ATP-PRT from (ATPPRT) using a homology modeling approach. High-throughput virtual screening (HTVS) of the antibacterial library of Life Chemicals Inc., Ontario, Canada was carried out followed by molecular dynamics simulations of the top hit compounds. In silico results were then biochemically validated using surface plasmon resonance spectroscopy. We found that two compounds, namely, F0843-0019 and F0608-0626, were binding with micromolar affinities to the ATP-phosphoribosyltransferase from (ATPPRT). Both of these compounds were binding in the same way as AMP in ATPPRT, and the important residues of the active site, viz., Val4, Ser72, Thr76, Tyr77, Glu95, Lys134, Val136, and Tyr156, were also interacting via hydrogen bonds. The calculated binding energies of these compounds were -10.5 kcal/mol and -11.1 kcal/mol, respectively. These two compounds can be used as the potential lead molecules for designing antibacterial compounds in the future, and this information will help in drug discovery programs against worldwide.
是一种多药耐药、机会性、医院获得性病原体,急需新的治疗方法。我们的目标是组氨酸生物合成途径第一步的酶,即三磷酸腺苷-磷酸核糖基转移酶(ATP-PRT)。使用同源建模方法,根据已知的来自(ATPPRT)的三磷酸腺苷-PRT 的三维结构模板,预测了 ATP-PRT 的三维结构。对加拿大安大略省 Life Chemicals Inc. 的抗菌文库进行了高通量虚拟筛选(HTVS),然后对顶级命中化合物进行分子动力学模拟。然后使用表面等离子体共振光谱法对计算机模拟结果进行了生化验证。我们发现两种化合物,即 F0843-0019 和 F0608-0626,与来自(ATPPRT)的三磷酸腺苷-磷酸核糖基转移酶以微摩尔亲和力结合。这两种化合物都以与 ATPPRT 中的 AMP 相同的方式结合,并且活性位点的重要残基,即 Val4、Ser72、Thr76、Tyr77、Glu95、Lys134、Val136 和 Tyr156,也通过氢键相互作用。这些化合物的计算结合能分别为-10.5 kcal/mol 和-11.1 kcal/mol。这两种化合物可作为未来设计抗菌化合物的潜在先导分子,这些信息将有助于针对全球的药物发现计划。