QSAR and molecular docking studies on pyrimidine and pyrrolidine derivatives as potent inhibitors of influenza virus neuraminidase

被引:0
|
作者
Shaik, Bashirulla [1 ]
Gupta, Satya P. [2 ]
Srivastava, Abha [3 ]
Agrawal, Vijay K. [4 ]
机构
[1] Natl Inst Tech Teachers Training & Res, Dept Appl Sci, Bhopal 462002, Madhya Pradesh, India
[2] Meerut Inst Engn & Technol, Meerut 250005, Uttar Pradesh, India
[3] Awadhesh Pratap Singh Univ, Dept Chem, QSAR & Chem Labs, Rewa 486003, Madhya Pradesh, India
[4] Ram Krishna Dharmarth Fdn Univ, Bhopal 462033, Madhya Pradesh, India
来源
关键词
Quantitative structure-activity relationship (QSAR) study; Pyrimidines & pyrrolidine derivatives; Molecular docking; Neuraminidase inhibitors; ACID-DERIVATIVES; STRUCTURAL-ANALYSIS; BENZOIC-ACID; DESIGN; SERIES; ANALOGS; PREDICTION; RESISTANCE; SAR;
D O I
10.56042/ijbb.v61i7.1382
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
Neuraminidase inhibitors(NAIs) are crucial to fight against influenza, targeting the neuraminidase enzyme to prevent the virus from spreading. Therefore, exploring novel NAIs is essential for developing effective treatments and strategies to combat influenza outbreak and thepandemic. In the present study a quantitative structure-activity relationship (QSAR) study has been carried out on a series of pyrimidine and pyrrolidine derivatives as potent inhibitors of influenza virus neuraminidase. The present study aimed to develop a robust QSAR model for predicting the inhibitory activity of the pyrimidone and pyrrolidine derivatives for understanding the molecular features of these compounds, which are essential for their inhibitory activity. The multiple regression analysis (MLR) revealed a significant correlation between the inhibitory activity values and the structural descriptors of the compounds. Using the MLR model expressed by this study, we predicted some new pyrimidine and pyrrolidine compounds. Each predicted compound has a very high potency than the any in the present series. A molecular docking study was performed on each predicted compound with the enzyme (PDB id: 2HU0), suggesting that the predicted compounds were found to form various significant hydrogen bonds with the enzyme.
引用
收藏
页码:401 / 417
页数:17
相关论文
共 50 条
  • [21] Binding site analysis, 3D-QSAR studies, and molecular design of flavonoids derivatives as potent neuraminidase inhibitors
    Jiaying Sun
    Hu Mei
    Medicinal Chemistry Research, 2013, 22 : 606 - 614
  • [22] Binding site analysis, 3D-QSAR studies, and molecular design of flavonoids derivatives as potent neuraminidase inhibitors
    Sun, Jiaying
    Mei, Hu
    MEDICINAL CHEMISTRY RESEARCH, 2013, 22 (02) : 606 - 614
  • [23] Novel N-Substituted oseltamivir derivatives as potent influenza neuraminidase inhibitors: Design, synthesis, biological evaluation, ADME prediction and molecular docking studies
    Ye, Jiqing
    Yang, Xiao
    Xu, Min
    Chan, Paul Kay-sheung
    Ma, Cong
    EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY, 2019, 182
  • [24] QSAR Studies on Neuraminidase Inhibitors as Anti-influenza Agents
    Veerasamy, Ravichandran
    Rajak, Harish
    TURKISH JOURNAL OF PHARMACEUTICAL SCIENCES, 2021, 18 (02) : 151 - 156
  • [25] A QSAR study on influenza neuraminidase inhibitors
    Verma, RP
    Hansch, C
    BIOORGANIC & MEDICINAL CHEMISTRY, 2006, 14 (04) : 982 - 996
  • [26] QSAR and docking studies of coumarin derivatives as potent HIV-1 integrase inhibitors
    Srivastav, V. K.
    Tiwari, M.
    ARABIAN JOURNAL OF CHEMISTRY, 2017, 10 : S1081 - S1094
  • [27] Synthesis, biological evaluation and molecular docking studies of new pyrimidine derivatives as potent dual EGFR/HDAC inhibitors
    Sivaiah, G.
    Raghu, M. S.
    Prasad, S. B. Benaka
    Anusuya, A. M.
    Kumar, K. Yogesh
    Alharethy, Fahd
    Prashanth, M. K.
    Jeon, Byong-Hun
    JOURNAL OF MOLECULAR STRUCTURE, 2024, 1309
  • [28] SMILES-Based QSAR and Molecular Docking Study of Oseltamivir Derivatives as Influenza Inhibitors
    Azimi, Atena
    Ahmadi, Shahin
    Kumar, Ashwani
    Qomi, Mahnaz
    Almasirad, Ali
    POLYCYCLIC AROMATIC COMPOUNDS, 2023, 43 (04) : 3257 - 3277
  • [29] A Combined QSAR and Molecular Docking Approach for Identifying Pyrimidine Derivatives as Penicillin Binding Protein Inhibitors
    Sharma, Smriti
    Sharma, Brij K.
    Jain, Surabhi
    Gulyani, Puja
    LETTERS IN DRUG DESIGN & DISCOVERY, 2022, 19 (12) : 1121 - 1135
  • [30] Computational investigation of novel pyrimidine derivatives as potent FAK inhibitors via 3D-QSAR, molecular docking, molecular dynamics simulation and retrosynthesis
    El Bahi, Salma
    Boutalaka, Meryem
    El Alaouy, Moulay Ahfid
    Bouamrane, Soukaina
    Alaqarbeh, Marwa
    Choukrad, M'barek
    Sbai, Abdelouahid
    Bouachrine, Mohammed
    Lakhlifi, Tahar
    NEW JOURNAL OF CHEMISTRY, 2023, 47 (27) : 12816 - 12829