Structure-based virtual screening, molecular docking and dynamics studies of natural product and classical inhibitors against human dihydrofolate reductase

被引:7
|
作者
Koushki, Elnaz Hosseininezhadian [1 ]
Abolghasemi, Solmaz [2 ]
Mollica, Adriano [3 ]
Aghaeepoor, Mojtaba [4 ]
Moosavi, Seyedeh Sara [5 ]
Farshadfar, Chiako [1 ]
Hasanpour, Bayazid [1 ]
Feyzi, Babisandz [1 ]
Abdi, Fatemeh [6 ]
Mirzaie, Sako [1 ]
机构
[1] Islamic Azad Univ, Dept Biochem, Sanandaj Branch, Sanandaj, Iran
[2] Islamic Azad Univ, Dept Biol, North Tehran Branch, Tehran, Iran
[3] Univ Chieti Pescara G dAnnunzio, Dipartimento Farm, Via Vestini 31, I-66100 Chieti, Italy
[4] Semnan Univ Med Sci, Semnan Biotechnol Res Ctr, Basij Blvd, Semnan, Iran
[5] Islamic Azad Univ, Dept Biochem, Falavarjan Branch, Esfahan, Iran
[6] Islamic Azad Univ, Dept Cellular & Mol Biol, Tehran North Branch, Tehran, Iran
关键词
Dihydrofolate reductase; Drug design; Zinc database; Molecular dynamics; Natural products; FREE-ENERGY CALCULATIONS; ESCHERICHIA-COLI; RHEUMATOID-ARTHRITIS; CRYSTAL-STRUCTURES; METHOTREXATE; BINDING; PHARMACOPHORE; PREDICTION; COMPLEX; PROTEIN;
D O I
10.1007/s13721-020-00244-9
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Folate antagonists are classified as important and valuable therapeutic agents against infection, neoplastic, and inflammatory diseases. Dihydrofolate reductase (DHFR) is a biological target of two well-defined folate antagonists, classical and non-classical inhibitors. DHFR catalyzes the reduction of 7,8-dihydrofolate to 5,6,7,8-tetrahydrofolate benefits of NADPH as a cofactor. With the point to recognize new chemicals to be utilized for further structure-based drug design, a collection of 67753 molecules including chemicals and natural products have been screened through the docking method from the Zinc Database. The high ranked compound with regard to methotrexate (MTX), resulted to be three compounds comprises of ZINC29236925, ZINC31169388, and ZINC01629864, which further investigated by molecular dynamics (MD) simulation, Poisson-Boltzmann surface area method (MM-PBSA) and QMMM calculations. PCA analysis revealed that upon inhibitor binding, the DHFR folding is changed. Our QMMM data suggested that a structure with ZINC ID of ZINC31169388 has a stronger interaction with DHFR active site and could be a favorable candidacy for biological assessment and additional advanced improvement. Furthermore, ADMET prediction illustrated that all physicochemical factors of ZINC31169388 are within the satisfactory span described for human treatment.
引用
收藏
页数:21
相关论文
共 50 条
  • [41] Structure-based virtual screening and docking studies for the identification of novel inhibitors against wild and drug resistance strains of HIV-1 RT
    Chander, Subhash
    Penta, Ashok
    Murugesan, Sankaranarayanan
    [J]. MEDICINAL CHEMISTRY RESEARCH, 2015, 24 (05) : 1869 - 1883
  • [42] Structure-based virtual screening and docking studies for the identification of novel inhibitors against wild and drug resistance strains of HIV-1 RT
    Subhash Chander
    Ashok Penta
    Sankaranarayanan Murugesan
    [J]. Medicinal Chemistry Research, 2015, 24 : 1869 - 1883
  • [43] Structure-based virtual screening and molecular dynamics approaches to identify new inhibitors of Staphylococcus aureus sortase A
    Janlou, Mehr Ali Mahmood
    Sahebjamee, Hassan
    Yazdani, Mohsen
    Fozouni, Leila
    [J]. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2024, 42 (03): : 1157 - 1169
  • [44] Molecular dynamics to enhance structure-based virtual screening on cathepsin B
    Ogrizek, Mitja
    Turk, Samo
    Lesnik, Samo
    Sosic, Izidor
    Hodoscek, Milan
    Mirkovic, Bojana
    Kos, Janko
    Janezic, Dusanka
    Gobec, Stanislav
    Konc, Janez
    [J]. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 2015, 29 (08) : 707 - 712
  • [45] Identification of COX-2 inhibitors via structure-based virtual screening and molecular dynamics simulation
    Razzaghi-Asl, Nima
    Mirzayi, Sahar
    Mahnam, Karim
    Sepehri, Saghi
    [J]. JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2018, 83 : 138 - 152
  • [46] Molecular dynamics to enhance structure-based virtual screening on cathepsin B
    Mitja Ogrizek
    Samo Turk
    Samo Lešnik
    Izidor Sosič
    Milan Hodošček
    Bojana Mirković
    Janko Kos
    Dušanka Janežič
    Stanislav Gobec
    Janez Konc
    [J]. Journal of Computer-Aided Molecular Design, 2015, 29 : 707 - 712
  • [47] Identification of potential inhibitors of human methionine aminopeptidase (type II) for cancer therapy: Structure-based virtual screening, ADMET prediction and molecular dynamics studies
    Weako, Jackson
    Uba, Abdullahi Ibrahim
    Keskin, Ozlem
    Gursoy, Attila
    Yelekci, Kemal
    [J]. COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2020, 86 (86)
  • [48] Identification of Marine-Derived SLC7A11 Inhibitors: Molecular Docking, Structure-Based Virtual Screening, Cytotoxicity Prediction, and Molecular Dynamics Simulation
    Chen, Jiaqi
    Li, Xuan
    Tao, Jiahua
    Luo, Lianxiang
    [J]. MARINE DRUGS, 2024, 22 (08)
  • [49] In silico Identification of HDAC Inhibitors for Multiple Myeloma: A Structure-based Virtual Screening, Drug Likeness, ADMET Profiling, Molecular Docking, and Molecular Dynamics Simulation Study
    Debnath, Abhijit
    Mazumder, Rupa
    Mazumder, Avijit
    Singh, Rajesh
    Srivastava, Shikha
    [J]. LETTERS IN DRUG DESIGN & DISCOVERY, 2024, 21 (05) : 961 - 978
  • [50] Discovery of dual kinase inhibitors targeting VEGFR2 and FAK: structure-based pharmacophore modeling, virtual screening, and molecular docking studies
    Fouad, Marwa A.
    Osman, Alaa A.
    Abdelhamid, Noha M.
    Rashad, Mai W.
    Nabawy, Ashrakat Y.
    El Kerdawy, Ahmed M.
    [J]. BMC CHEMISTRY, 2024, 18 (01)