Literature DB >> 33818669

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

Sophi Damayanti1,2, Nabilla Rizkia Fabelle1, Wipawadee Yooin3, Muhamad Insanu4, Supat Jiranusornkul5, Pathomwat Wongrattanakamon6.   

Abstract

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.

Entities:  

Keywords:  Antiaging; Cathepsin L; Herbal compounds; Molecular docking; Molecular dynamics simulation; Toxicity

Mesh:

Substances:

Year:  2021        PMID: 33818669     DOI: 10.1007/s10863-021-09893-5

Source DB:  PubMed          Journal:  J Bioenerg Biomembr        ISSN: 0145-479X            Impact factor:   2.945


  23 in total

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Authors:  Xin Du; Nelson L H Chen; Andre Wong; Charles S Craik; Dieter Brömme
Journal:  J Biol Chem       Date:  2013-10-11       Impact factor: 5.157

3.  Evaluation and comparison of benchmark QSAR models to predict a relevant REACH endpoint: The bioconcentration factor (BCF).

Authors:  Andrea Gissi; Anna Lombardo; Alessandra Roncaglioni; Domenico Gadaleta; Giuseppe Felice Mangiatordi; Orazio Nicolotti; Emilio Benfenati
Journal:  Environ Res       Date:  2015-01-21       Impact factor: 6.498

Review 4.  Skin aging and photoaging: an overview.

Authors:  B A Gilchrest
Journal:  J Am Acad Dermatol       Date:  1989-09       Impact factor: 11.527

Review 5.  Mechanisms of photoaging and chronological skin aging.

Authors:  Gary J Fisher; Sewon Kang; James Varani; Zsuzsanna Bata-Csorgo; Yinsheng Wan; Subhash Datta; John J Voorhees
Journal:  Arch Dermatol       Date:  2002-11

6.  Halogen bonding at the active sites of human cathepsin L and MEK1 kinase: efficient interactions in different environments.

Authors:  Leo A Hardegger; Bernd Kuhn; Beat Spinnler; Lilli Anselm; Robert Ecabert; Martine Stihle; Bernard Gsell; Ralf Thoma; Joachim Diez; Jörg Benz; Jean-Marc Plancher; Guido Hartmann; Yoshiaki Isshiki; Kenji Morikami; Nobuo Shimma; Wolfgang Haap; David W Banner; François Diederich
Journal:  ChemMedChem       Date:  2011-09-06       Impact factor: 3.466

7.  Antioxidant activity and cytotoxicity of the traditional Indonesian medicine Tahongai (Kleinhovia hospita L.) extract.

Authors:  Enos Tangke Arung; Irawan Wijaya Kusuma; Sri Purwatiningsih; Seong-Soo Roh; Chae Ha Yang; Soohyeon Jeon; Yong-Ung Kim; Edi Sukaton; Joko Susilo; Yuli Astuti; Britanto Dani Wicaksono; Ferry Sandra; Kuniyoshi Shimizu; Ryuichiro Kondo
Journal:  J Acupunct Meridian Stud       Date:  2009-12

8.  Validation of molecular docking programs for virtual screening against dihydropteroate synthase.

Authors:  Kirk E Hevener; Wei Zhao; David M Ball; Kerim Babaoglu; Jianjun Qi; Stephen W White; Richard E Lee
Journal:  J Chem Inf Model       Date:  2009-02       Impact factor: 4.956

9.  Knowledge-guided docking: accurate prospective prediction of bound configurations of novel ligands using Surflex-Dock.

Authors:  Ann E Cleves; Ajay N Jain
Journal:  J Comput Aided Mol Des       Date:  2015-05-05       Impact factor: 3.686

10.  PubChem Substance and Compound databases.

Authors:  Sunghwan Kim; Paul A Thiessen; Evan E Bolton; Jie Chen; Gang Fu; Asta Gindulyte; Lianyi Han; Jane He; Siqian He; Benjamin A Shoemaker; Jiyao Wang; Bo Yu; Jian Zhang; Stephen H Bryant
Journal:  Nucleic Acids Res       Date:  2015-09-22       Impact factor: 16.971

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