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논문 주제별검색 기관별검색

오령산 구성약재 성분의 Drug-likeness와 Oral bioavailability

Drug-likeness and Oral bioavailability for Chemical Compounds of Medicinal Materials Constituting Oryeong-san

김상균 (한국한의학연구원) ,   이승호 ( 한국한의학연구원)

오령산 구성약재 성분의 Drug-likeness와 Oral bioavailability - 저널명, 기관명, ISSN, 발행일, 권호, 페이지, 조회수, ISBN 정보 안내
저널명 大韓本草學會誌  기관명 大韓本草學會 
ISSN 1229-1765  발행일 2018 
권호 제 33권 제 5호  페이지 19-37 
조회수 460  ISBN  

초록

한글초록

한글 초록 없음

영어초록

Objectives :
Oryeong-san was composed of Alismatis Rhizoma, Atractylodis Rhizoma Alba, Poria Sclerotium, Polyporus, Cinnamomi Cortex, and known to have hundreds of chemical compounds. The aim of this study was to screen chemical compounds constituting Oryeong-san with the drug-likeness and oral bioavailability from the analysis of their physicochemical properties.
Methods :
A list of chemical compounds of Oryeong-san was obtained from TM-MC(database of medicinal materials and chemical compounds in Northeast Asian traditional medicine). To remove redundant compounds, the SMILES (Simplified Molecular Input Line Entry System) strings of each compound were identified. All of the physicochemical properties for the compounds were calculated using the DruLiTo(Drug Likeness Tool). Drug-likeness was estimated by QED(Quantitative Estimate of Druglikeness) and OB(Oral bioavailability) was checked based on the Veber's rules.
Results :
A total of 475 compounds were obtained by eliminating duplication among 544 compounds of 5 medicinal materials. Analysis of the physicochemical properties revealed that the most common values were MW(molecular weight) 200~300 g/mol, ALOGP(octanol-water partition coefficient) 1~2, HBA(number of hydrogen bond acceptors) 0~1, HBD(number of hydrogen bond donors) 0, PSA(polar surface area) 0~50 angstrom, ROTB(number of rotatable bonds) 1, AROM(number of aromatic rings) 0, and ALERT(number of structural alerts) 1. QED had 93% of the values between 0.2 and 0.7, and OB had 90% of the value of TRUE.
Conclusions :
We in this paper screened the candidate active compounds of Oryeong-san using the QED and Veber's rules. In the future, we will use the screening results to analyze the mechanism of Oryeong-san based on systems pharmacology.

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참고문헌

이 논문의 참고문헌이 22 건이 있습니다.

1. 한의과대학 방제학교수, 공편저, 방제학, 영림사 (2003), 504-506
2. Lee YJ, Lee SM, Cui X 외 6 명, Quantitative evaluation of Oryeongsan and its action on water regulation in renal inner medullary collecting duct cells, Journal of Ethnopharmacology (2016), Vol 185, 310-318
3. Zhao S, Iyengar R, Systems Pharmacology: Network Analysis to Identify Multiscale Mechanisms of Drug Action, Annu Rev Pharmacol Toxicol (2012), Vol 52, 505-521
4. Yao Y, Zhang X, Wang Z 외 8 명, Deciphering the combination principles of Traditional Chinese Medicine from a systems pharmacology perspective based on Ma-huang Decoction, Journal of Ethnopharmacology (2013), Vol 150-2, 619-638 ref
5. Bickerton GR, Paolini GV, Besnard J 외 2 명, Quantifying the chemical beauty of drugs, Nature Chemistry (2012), Vol 4-2, 90-98 ref
6. Rayan A, Marcus D, Goldblum A, Predicting Oral Druglikeness by Iterative Stochastic Elimination, Journal of Chemical Information and Modeling (2010), Vol 50-3, 437-445 ref
7. Ohno K, Nagahara Y, Tsunoyama K 외 1 명, Are There Differences between Launched Drugs, Clinical Candidates, and Commercially Available Compounds?, Journal of Chemical Information and Modeling (2010), Vol 50-5, 815-821 ref
8. Lipinski CA, Lombardo F, Dominy BW 외 1 명, Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings, Adv. Drug Deliv. Rev (1997), Vol 23, 3-25
9. Veber DF, Johnson SR, Cheng HY 외 3 명, Molecular properties that influence the oral bioavailability of drug candidates, Journal Med. Chem (2002), Vol 45, 2615-2623
10. Hou T, Wang J, Zhang W 외 1 명, ADME Evaluation in Drug Discovery. 6. Can Oral Bioavailability in Humans Be Effectively Predicted by Simple Molecular Property-Based Rules?, Journal Chem. Inf. Model (2007), Vol 47, 460-463
11. Xu X, Zhang W, Huang C 외 5 명, A Novel Chemometric Method for the Prediction of Human Oral Bioavailability, International Journal of Molecular Sciences (2012), Vol 13, 6964-6982
12. TM-MC (2018-06-11), http://informatics.kiom.re.kr/compound/
13. SMILES (2018-06-11), https://en.wikipedia.org/wiki/Simplified_molecular-input_line-entry_system
14. Kim S, Thiessen PA, Bolton EE 외 11 명, PubChem Substance and Compound databases, Nucleic Acids Res (2016), Vol 44(D1), D1202-D1213
15. ChemDraw Professional v15 (2018-06-11), http://www.cambridgesoft.com/Ensemble_for_Chemistry/ChemDraw/ChemDrawProfessional/Default.aspx
16. O'Boyle NM, Banck M, James CA 외 3 명, Open Babel: An open chemical toolbox, Journal of Cheminformatics (2011), Vol 3, 33
17. DruLiTo (2018-06-11), http://www.niper.gov.in/pi_dev_tools/DruLiToWeb/DruLiTo_index.html
18. Ministry of Food and Drug Safety, The Korean Pharmacopoeia. Tenth Edition, Ministry of Food and Drug Safety (2014)
19. Chinese Pharmacopoeia Commission, Chinese Pharmacopoeia, 2010 English edition (2010)
20. Hasada K, Yoshida T, Yamazaki T 외 4 명, Quantitative determination of atractylon in Atractylodis Rhizoma and Atractylodis Lanceae Rhizoma by 1H-NMR spectroscopy, Journal of Natural Medicines (2010), Vol 64-2, 161-166 ref
21. STITCH (2018-06-25), http://stitch.embl.de
22. BindingDB (2018-06-25), https://www.bindingdb.org/bind/index.jsp

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