Identification of phytochemical inhibitors targeting phosphate acetyltransferase of Mycoplasma genitalium: insights from virtual screening and molecular dynamics studies

被引:2
|
作者
Barik, Krishnendu [1 ]
Arya, Praffulla Kumar [1 ]
Singh, Ajay Kumar [1 ]
Kumar, Anil [1 ]
机构
[1] Cent Univ South Bihar, Dept Bioinformat, Gaya 824236, India
关键词
Mycoplasma genitalium; Phosphate acetyltransferase; Phytochemical inhibitors; Molecular docking; Molecular dynamics simulation; 2016 EUROPEAN GUIDELINE; ZEA-MAYS L; DRUG TARGETS; FORCE-FIELD; IN-SILICO; PHOSPHOTRANSACETYLASE; RESISTANCE; INFECTION;
D O I
10.1007/s11030-023-10681-z
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
Mycoplasma genitalium (M. genitalium) has evolved as a superbug, and the developing antimicrobial resistance with just a few treatment options available is an imminent concern. Due to the emergence of antibiotic resistance, a new antibiotic class or medications are required to combat this pathogen. The phosphate acetyltransferase (PTA) enzyme can be a suitable drug target which is essential for M. genitalium survival and involves in acetate metabolism. To efficiently find potent inhibitors, structure-based drug design approaches targeting the PTA of M. genitalium have been established. In this study, the three most potent phytochemical inhibitors were predicted from virtual screening and these are sitostanyl ferulate, beta-sitosterol-beta-d-glucoside, and brassinolide, with binding energies of - 9.66, - 9.60, and - 9.48 kcal/mol, respectively. The active site residues Thr-125, Arg-300, Ser-299, Tyr-272, and Lys-273 appear to be critical in binding the three predicted potent inhibitors. The results of the molecular dynamics study indicate that the three predicted phytochemical inhibitors have formed stable bonds with PTA. Molecular Mechanics Poisson-Boltzmann Surface Area (MM-PBSA) was utilized for the estimation of binding free energy of PTA-phytochemical complexes. Taken together, the findings of our computational work might aid in the development of possible potential drugs to treat and ameliorate the severity of M. genitalium infection. [GRAPHICS] .
引用
收藏
页码:1651 / 1663
页数:13
相关论文
共 50 条
  • [1] Identification of Phytochemical Inhibitors Targeting VEGFA and TGFBR2 of Cervical Cancer: Insights from Virtual Screening, ADMET and DFT Studies
    Juneja, Tanzil
    Chakraborty, Joydeep
    Kapadiya, Khushal
    Kamdar, Jignesh H.
    [J]. CHEMISTRYSELECT, 2024, 9 (17):
  • [2] Virtual screening and molecular dynamics simulations of phytochemicals targeting cofactor-independent phosphoglycerate mutase in antimicrobial-resistant Mycoplasma genitalium
    Barik, Krishnendu
    Mandal, Pranabesh
    Arya, Praffulla Kumar
    Singh, Durg Vijay
    Kumar, Anil
    [J]. 3 BIOTECH, 2024, 14 (10)
  • [3] Identification of potential riboflavin synthase inhibitors by virtual screening and molecular dynamics simulation studies
    Aris, Sayangku Nor Ariati Mohamad
    Rahman, Mohd Zulhilmi Abdul
    Abd Rahman, Raja Noor Zaliha Raja
    Ali, Mohd Shukuri Mohamad
    Salleh, Abu Bakar
    Teo, Chian Ying
    Leow, Thean Chor
    [J]. JOURNAL OF KING SAUD UNIVERSITY SCIENCE, 2021, 33 (02)
  • [4] Targeting MurB from Helicobacter pylori: insights from virtual screening, molecular docking and molecular dynamics simulation
    Sharma, Abhishek
    Singh, Amit Kumar
    Muthukumaran, Jayaraman
    Jain, Monika
    [J]. MOLECULAR SIMULATION, 2024, : 379 - 393
  • [5] In silico identification of novel PrfA inhibitors to fight listeriosis: A virtual screening and molecular dynamics studies
    Nizami, Bilal
    Tan, Wen
    Arias-Moreno, Xabier
    [J]. JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2020, 101
  • [6] Identification of InhA inhibitors: A combination of virtual screening, molecular dynamics simulations and quantum chemical studies
    Lone, Mohsin Y.
    Manhas, Anu
    Athar, Mohd.
    Jha, Prakash C.
    [J]. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2018, 36 (11): : 2951 - 2965
  • [7] Identification of PARP12 Inhibitors By Virtual Screening and Molecular Dynamics Simulations
    Almeleebia, Tahani M.
    Ahamad, Shahzaib
    Ahmad, Irfan
    Alshehri, Ahmad
    Alkhathami, Ali G.
    Alshahrani, Mohammad Y.
    Asiri, Mohammed A.
    Saeed, Amir
    Siddiqui, Jamshaid Ahmad
    Yadav, Dharmendra K.
    Saeed, Mohd
    [J]. FRONTIERS IN PHARMACOLOGY, 2022, 13
  • [8] Identification and Evaluation of Inhibitors of Lipase from Malassezia restricta using Virtual High-Throughput Screening and Molecular Dynamics Studies
    Ali, Shahid
    Khan, Faez Iqbal
    Mohammad, Taj
    Lan, Dongming
    Hassan, Md. Imtaiyaz
    Wang, Yonghua
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2019, 20 (04):
  • [9] Identification of inhibitors for neurodegenerative diseases targeting dual leucine zipper kinase through virtual screening and molecular dynamics simulations
    Koirala, S.
    Samanta, S.
    Kar, P.
    [J]. SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 2024, 35 (06) : 457 - 482
  • [10] Identification of Potential WSB1 Inhibitors by AlphaFold Modeling, Virtual Screening, and Molecular Dynamics Simulation Studies
    Weng, Ye
    Pan, Chenghao
    Shen, Zheyuan
    Chen, Sikang
    Xu, Lei
    Dong, Xiaowu
    Chen, Jing
    [J]. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE, 2022, 2022