Molecular modeling for potential cathepsin L inhibitor identification as new anti-photoaging agents from tropical medicinal plants

被引:0
|
作者
Sophi Damayanti
Nabilla Rizkia Fabelle
Wipawadee Yooin
Muhamad Insanu
Supat Jiranusornkul
Pathomwat Wongrattanakamon
机构
[1] Bandung Institute of Technology,Pharmacochemistry Research Group, School of Pharmacy
[2] University Center of Excellence on Artificial Intelligence for Vision,Laboratory for Molecular Design and Simulation (LMDS), Faculty of Pharmacy
[3] Natural Language Processing & Big Data Analytics (U-CoE AI-VLB),Pharmaceutical Biology Research Group, School of Pharmacy
[4] Chiang Mai University,undefined
[5] Bandung Institute of Technology,undefined
来源
Journal of Bioenergetics and Biomembranes | 2021年 / 53卷
关键词
Antiaging; Cathepsin L; Herbal compounds; Molecular docking; Molecular dynamics simulation; Toxicity;
D O I
暂无
中图分类号
学科分类号
摘要
Ultraviolet exposure can cause photoaging toward the human skin which is begun by the inflammation on the exposure area, also resulting in activation of a degradative enzyme cathepsin L. This enzyme is one of the interesting novel therapeutic targets for antiaging agents. Three plants, named Kleinhovia hospita, Aleurites moluccana, and Centella asiatica, are well-known in the tropical region as anti-inflammatory herbs. The aims of this study were to predict the antiaging activity of the 31 compounds from these plants via inhibition of cathepsin L. All compounds were minimized their energies and then used in molecular docking. After that, molecular dynamics (MD) simulation was employed for the 5 candidate ligands and the positive control; schinol. Interaction analysis results of the pre-MD and post-MD simulation structures were obtained. Furthermore, a toxicity test was performed using ADMET Predictor 7.1. Based on the molecular docking and the MD simulation results, kleinhospitine A, β-amyrin, and castiliferol exhibited lower binding free energy than schinol (−27.0925, −28.6813, −26.0037 kcal/mol) and also had interactions with the S´ region binding site. The toxicity test indicated that β-amyrin is the most potential candidate since it exhibited the lowest binding energy and the high safety level.
引用
收藏
页码:259 / 274
页数:15
相关论文
共 40 条
  • [31] Identification of a potential tissue-specific biomarker cathepsin L-like gene from the planarian Dugesia japonica: Molecular cloning, characterization, and expression in response to heavy metal exposure
    Ma, Ke-Xue
    Song, Ge-ge
    Wu, Meng
    Zhang, He-Cai
    Chen, Guang-Wen
    Liu, De-Zeng
    ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2019, 180 : 73 - 79
  • [32] Design, synthesis, biological evaluation and molecular modeling investigation of new N′-(2-Thiouracil-5-oyl) hydrazone derivatives as potential anti-breast cancer and anti-bacterial agents
    El-Etrawy, Abd-Allah Sh
    Sherbiny, Farag F.
    JOURNAL OF MOLECULAR STRUCTURE, 2021, 1232
  • [33] Synthesis, Biological Evaluation, and Molecular Modeling Studies of New 8-methyl-4-oxo-1,4-dihydroquinoline-3-carbohydrazides as Potential Anti-HIV Agents
    Alemi, Mehrdad
    Kamali, Fatemeh
    Roudsari, Rouhollah Vahabpour
    Hajimahdi, Zahra
    Zarghi, Afshin
    IRANIAN JOURNAL OF PHARMACEUTICAL RESEARCH, 2022, 21 (01):
  • [34] Abortitristoside A and desrhamnosylverbanscoside: the potential COX-2 inhibitor from the leaves of Nyctanthes arbor-tristis as anti-inflammatory agents based on the in vitro assay, molecular docking and ADMET prediction
    Vishwakarma, Rahul Kumar
    Negi, Devendra Singh
    Negi, Aaysha
    CHEMICAL PAPERS, 2023, 77 (06) : 3035 - 3049
  • [35] Abortitristoside A and desrhamnosylverbanscoside: the potential COX-2 inhibitor from the leaves of Nyctanthes arbor-tristis as anti-inflammatory agents based on the in vitro assay, molecular docking and ADMET prediction
    Rahul Kumar Vishwakarma
    Devendra Singh Negi
    Aaysha Negi
    Chemical Papers, 2023, 77 : 3035 - 3049
  • [36] ADME profiling, molecular docking, DFT, and MEP analysis reveal cissamaline, cissamanine, and cissamdine from Cissampelos capensis L.f. as potential anti-Alzheimer's agents
    Alhawarri, Maram B.
    Al-Thiabat, Mohammad G.
    Dubey, Amit
    Tufail, Aisha
    Fouad, Dania
    Alrimawi, Bilal Harieth
    Dayoob, Mohamad
    RSC ADVANCES, 2024, 14 (14) : 9878 - 9891
  • [37] Anti-inflammatory, antiallergic and COVID-19 protease inhibitory activities of phytochemicals from the Jordanian hawksbeard: identification, structure-activity relationships, molecular modeling and impact on its folk medicinal uses
    Ebada, Sherif S.
    Al-Jawabri, Nariman A.
    Youssef, Fadia S.
    El-Kashef, Dina H.
    Knedel, Tim-Oliver
    Albohy, Amgad
    Korinek, Michal
    Hwang, Tsong-Long
    Chen, Bing-Hung
    Lin, Guan-Hua
    Lin, Chia-Yi
    Aldalaien, Sa'ed M.
    Disi, Ahmad M.
    Janiak, Christoph
    Proksch, Peter
    RSC ADVANCES, 2020, 10 (62) : 38128 - 38141
  • [38] Identification of potential bioactive natural compounds from Indonesian medicinal plants against 3-chymotrypsin-like protease (3CLpro) of SARS-CoV-2: molecular docking, ADME/T, molecular dynamic simulations, and DFT analysis
    Prasetyo, Wahyu Eko
    Purnomo, Heri
    Sadrini, Miracle
    Wibowo, Fajar Rakhman
    Firdaus, Maulidan
    Kusumaningsih, Triana
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2023, 41 (10): : 4467 - 4484
  • [39] Identification of new benzamide inhibitor against α-subunit of tryptophan synthase from Mycobacterium tuberculosis through structure-based virtual screening, anti-tuberculosis activity and molecular dynamics simulations
    Naz, Sadia
    Farooq, Umar
    Ali, Sajid
    Sarwar, Rizwana
    Khan, Sara
    Abagyan, Ruben
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2019, 37 (04): : 1043 - 1053
  • [40] A Combined Approach of Pharmacophore Modeling, QSAR Study, Molecular Docking and In silico ADME/Tox Prediction of 4-Arylthio & 4-Aryloxy-3-Iodopyridine-2(1H)-one Analogs to Identify Potential Reverse Transcriptase Inhibitor: Anti-HIV Agents
    Panigrahi, Debadash
    Mishra, Amiyakanta
    Sahu, Susanta Kumar
    Azam, Mohd Afzal
    Vyshaag, C. M.
    MEDICINAL CHEMISTRY, 2022, 18 (01) : 51 - 87