Virtual screening, ADMET prediction, molecular docking, and dynamic simulation studies of natural products as BACE1 inhibitors for the management of Alzheimer's disease

被引:3
|
作者
Gheidari, Davood [1 ]
Mehrdad, Morteza [1 ]
Karimelahi, Zahra [1 ]
机构
[1] Univ Guilan, Fac Sci, Dept Chem, Rasht, Iran
来源
SCIENTIFIC REPORTS | 2024年 / 14卷 / 01期
关键词
PAINS;
D O I
10.1038/s41598-024-75292-6
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Alzheimer's disease (AD) is a degenerative neurological disorder that chronically and irreversibly affects memory, cognitive function, learning ability, and organizational skills. Numerous studies have demonstrated BACE1 as a critical therapeutic target for AD, emphasizing the need for specific inhibition of BACE1 to develop effective therapeutics. However, current BACE1 inhibitors have certain limitations. Therefore, the aim of this study was to identify potential novel candidates derived from natural products that can be utilized for the treatment of AD. To achieve this, 80,617 natural compounds from the ZINC database were subjected to virtual screening and subsequently filtered according to the rule of five (RO5), leading to the identification of 1,200 compounds. Subsequently, the 1,200 compounds underwent molecular docking studies against the BACE1 receptor, utilizing high-throughput virtual screening (HTVS), standard precision (SP), and extra precision (XP) techniques to identify high-affinity ligands. Of the 50 ligands that exhibited the highest G-Scores in HTVS, further analysis was conducted using SP docking and scoring methods. This analysis led to the identification of seven ligands with enhanced binding affinities, which were then subjected to additional screening via XP docking and scoring. Finally, the stability of the most promising ligand in relation to BACE1 was assessed through molecular dynamics (MD) simulations. The computational screening demonstrated that the docking energy values for seven ligands binding to target enzymes ranged between - 6.096 and - 7.626 kcal/mol. Among these, ligand 2 (L2) exhibited the best binding energy at -7.626 kcal/mol with BACE1. MD simulations further confirmed the stability of the BACE1-L2 complex, emphasizing the formation of a robust interaction between L2 and the target enzymes. Additionally, pharmacokinetic and drug-likeness evaluations indicated that L2 is non-carcinogenic and able to permeate the blood-brain barrier (BBB). The findings of this study will contribute to narrowing down the selection of candidates for subsequent in vitro and in vivo testing.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Ensemble Docking of Potential BACE1 Inhibitors for Alzheimer's Disease
    Guevara, Johnny
    Zahran, Mai
    FASEB JOURNAL, 2019, 33
  • [2] Virtual screening, molecular docking simulation and ADMET prediction of some selected natural products as potential inhibitors of NLRP3 inflammasomes as drug candidates for Alzheimer disease
    Ajala, Abduljelil
    Uzairu, Adamu
    Shallangwa, Gideon A.
    Abechi, Stephen E.
    BIOCATALYSIS AND AGRICULTURAL BIOTECHNOLOGY, 2023, 48
  • [3] Assessing Inhibitory potential of natural compounds against BACE1 in Alzheimer's disease: A molecular docking and molecular dynamics simulation approach
    Goel, Sachin
    Kumar, Yatender
    INDIAN JOURNAL OF BIOCHEMISTRY & BIOPHYSICS, 2024, 61 (06): : 345 - 353
  • [4] Molecular Docking and Dynamic Simulation of AZD3293 and Solanezumab Effects Against BACE1 to Treat Alzheimer's Disease
    Hassan, Mubashir
    Shahzadi, Saba
    Seo, Sung Y.
    Alashwal, Hany
    Zaki, Nazar
    Moustafa, Ahmed A.
    FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2018, 12
  • [5] Development of BACE1 inhibitors for Alzheimer's disease
    Guo, Tao
    Hobbs, Doug W.
    CURRENT MEDICINAL CHEMISTRY, 2006, 13 (15) : 1811 - 1829
  • [6] BACE1 molecular docking and anti-Alzheimer's disease activities of ginsenosides
    Choi, Ran Joo
    Roy, Anupom
    Jung, Hee Jin
    Ali, Md. Yousof
    Min, Byung-Sun
    Park, Chan Hum
    Yokozawa, Takako
    Fan, Tai-Ping
    Choi, Jae Sue
    Jung, Hyun Ah
    JOURNAL OF ETHNOPHARMACOLOGY, 2016, 190 : 219 - 230
  • [7] BACE1 inhibitors: A promising therapeutic approach for the management of Alzheimer's disease
    Arya, Richa
    Jain, Smita
    Paliwal, Sarvesh
    Madan, Kirtika
    Sharma, Swapnil
    Mishra, Achal
    Tiwari, Prashant
    Kadiri, Sunil Kumar
    ASIAN PACIFIC JOURNAL OF TROPICAL BIOMEDICINE, 2024, 14 (09) : 369 - 381
  • [8] Advancements in BACE1 and non-peptide BACE1 inhibitors for Alzheimer's disease
    Shah, Nishita P.
    Solanki, Vivek S.
    Gurjar, Archana S.
    INDIAN JOURNAL OF CHEMISTRY SECTION B-ORGANIC CHEMISTRY INCLUDING MEDICINAL CHEMISTRY, 2018, 57 (06): : 830 - 842
  • [9] Combining Virtual Screening, Molecular Docking and Simulation studies towards the discovery of β-secretase (BACE) inhibitors
    Gogoi, Dipshikha
    Saikia, Ratul
    Kalita, Jatin
    Paul, Rasana
    Pegu, Devo Kanta
    Sinha, Subrata
    Johari, Surabhi
    2018 INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND SYSTEMS BIOLOGY (BSB), 2018, : 103 - 107
  • [10] Virtual Screening and ADMET Prediction of RanBP9 Inhibitors for Alzheimer's Disease
    Tey, Han Jieh
    Ng, Chong Han
    Lim, Thong Leng
    2019 7TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY (ICOICT), 2019, : 184 - 188