Identifying dual leucine zipper kinase (DLK) inhibitors using e-pharamacophore screening and molecular docking

被引:3
作者
Langeswaran, K. [1 ]
Jeyaraman, Jeyakanthan [1 ]
Babu, Jegannath R. [1 ]
Biswas, Abir [2 ]
Dhurgadevi, K. R. [2 ]
机构
[1] Alagappa Univ, Bioinformat, Karaikkudi 630003, Tamil Nadu, India
[2] Bharathidasan Univ, Tiruchirappalli, Tamil Nadu, India
关键词
Dual Leucine zipper kinase; e-pharmacophore; molecular docking; Alzheimer's disease; BINDING; PREDICTION; SOLUBILITY; DISCOVERY; DYNAMICS; PROTEIN; GLIDE;
D O I
10.1080/10799893.2019.1620776
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
Alzheimer's is a neural disorder causing gradual loss in structure and function of nerve cell. To treat such disorders, c-Jun N-terminal Kinase (JNK) Pathway inhibitors were developed by representing chemical compounds that were used to inhibit the JNK signaling pathways. DLK is the stress sensor and implicating as regulatory factor in JNK pathway. Therefore, in the present investigation, pharmacophore screening was tried to identify the chemical compounds that involving inhibition of DLK proteins. To explore the pharmacophore region and mode of binding with DLK protein, N- (I H-pyrazol-3-y l) pyridin-2-aminer inhibitors were docked with DLK. Results reveal the information on the interaction mechanism of protein and ligand with chemical characteristics required to inhibit DLK protein. Such predicted information (AAAARH) was used as query to find out potential novel lead compounds sourced from public database. As an outcome of 65 compounds were listed based on the fitness score (2 >=), and were subjected to glide HTVS.SP and XP. Best performing 5 lead compounds were shortlisted for dynamic simulations. This exhibited a constant RMSD over 20 ns of timescale.
引用
收藏
页码:99 / 105
页数:7
相关论文
共 50 条
[21]   Identification of abelson tyrosine kinase inhibitors as potential therapeutics for Alzheimer's disease using multiple e-pharmacophore modeling and molecular dynamics [J].
Palakurti, Ravichand ;
Vadrevu, Ramakrishna .
JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2017, 35 (04) :883-896
[22]   Identification of dual human acetylcholinesterase and butyrylcholinesterase inhibitors through pharmacophore-based virtual screening, molecular docking and molecular dynamics simulation studies [J].
Yadav, Poonam ;
Jaiswal, Shivani .
INDIAN JOURNAL OF CHEMISTRY, 2025, 64 (02) :232-246
[23]   Structure-based virtual screening and molecular docking for the identification of potential novel EGFR kinase inhibitors against ovarian cancer [J].
Sait, Khalid Hussain Wali ;
Alam, Qamre ;
Anfinan, Nisrin ;
Ghamdi, Othman A. ;
Malik, Arshi ;
Noor, Rana ;
Jahan, Farheen ;
Tarique, Mohammed .
BIOINFORMATION, 2019, 15 (04) :287-294
[24]   Identification of Pim-1 Kinase Inhibitors by Pharmacophore Model, Molecular Docking-based Virtual Screening, and Biological Evaluation [J].
Huang, Jing ;
Yuan, Ye ;
Zhu, Xiaoxiao ;
Li, Guodong ;
Xu, Ya ;
Chen, Wenlin ;
Zhu, Ying .
CURRENT COMPUTER-AIDED DRUG DESIGN, 2022, 18 (03) :240-246
[25]   Identification of Potential JNK3 Inhibitors: A Combined Approach Using Molecular Docking and Deep Learning-Based Virtual Screening [J].
Yao, Chenpeng ;
Shen, Zheyuan ;
Shen, Liteng ;
Kadier, Kailibinuer ;
Zhao, Jingyi ;
Guo, Yu ;
Xu, Lei ;
Cao, Ji ;
Dong, Xiaowu ;
Yang, Bo .
PHARMACEUTICALS, 2023, 16 (10)
[26]   Small molecule inhibitors of IκB kinase β: A chip-based screening and molecular docking simulation [J].
Cho, Yong Wan ;
Lim, Hye Jin ;
Han, Moon Hi ;
Kim, Byung-Chul ;
Han, Sanghwa .
BIOORGANIC & MEDICINAL CHEMISTRY, 2020, 28 (09)
[27]   Identification of novel PAD2 inhibitors using pharmacophore-based virtual screening, molecular docking, and MD simulation studies [J].
Jha, Prakash ;
Rajoria, Prerna ;
Poonia, Priya ;
Chopra, Madhu .
SCIENTIFIC REPORTS, 2024, 14 (01)
[28]   Molecular modelling study on pyrrolo[2,3-b]pyridine derivatives as c-Met kinase inhibitors: a combined approach using molecular docking, 3D-QSAR modelling and molecular dynamics simulation [J].
Shirvani, Pouria ;
Fassihi, Afshin .
MOLECULAR SIMULATION, 2020, 46 (16) :1265-1280
[29]   Lead generation of UPPS inhibitors targeting MRSA: Using 3D-QSAR pharmacophore modeling, virtual screening, molecular docking, and molecular dynamic simulations [J].
Qandeel, Basma M. ;
Mowafy, Samar ;
Abouzid, Khaled ;
Farag, Nahla A. .
BMC CHEMISTRY, 2024, 18 (01)
[30]   Computer-aided identification of lead compounds as Staphylococcal epidermidis FtsZ inhibitors using molecular docking, virtual screening, DFT analysis, and molecular dynamic simulation [J].
Tripathy, Swayansiddha ;
Sahu, Susanta Kumar ;
Azam, Mohammed Afzal ;
Jupudi, Srikanth .
JOURNAL OF MOLECULAR MODELING, 2019, 25 (12)