UNaProd 1.0: Universal Natural Product Resource
- سال انتشار: 1396
- محل انتشار: هفتمین همایش بیوانفورماتیک ایران
- کد COI اختصاصی: IBIS07_039
- زبان مقاله: انگلیسی
- تعداد مشاهده: 664
نویسندگان
Department of Mathematical Sciences, Sharif University of Technology, Tehran, Iran
Department of Mathematical Sciences, Sharif University of Technology, Tehran, Iran
Persian Medicine and Pharmacy Research Center, Tehran University of Medical Sciences, Tehran, Iran
Drug Design and Bioinformatics Unit, Medical Biotechnology Department, Biotechnology Research Center, Pasteur Institute of Iran, Tehran ۱۳۱۶۹۴-۳۵۵۱, Iran
چکیده
Many natural products have pharmacological or biological activities that can be beneficial in treating diseases and are also an important source of inspiration for development and discovery of novel drugs1. UNaProd 1.0 has provided a systematic collection of information concerning natural drugs used in Iranian traditional medicine (ITM). For generating this database, one of the most authentic resources in this medicine, Makhzan-AL-Advieh2, has been used. This book has been authored by Aghili Alavi Khorasani (Shirazi) in 1769 A.D. in the Persian language. Makhzan-AL-Advieh can be regarded as a semi-structural resource containing attributes such as Essence, Mizaj, Functions, Substitutes, Side Effects, Refinements, Usage, etc. for each introduced natural products. The method used for extracting information for each drug attribute is text mining by which 1744 drugs, 1525 entries for Essence, 1405 for Mizaj, 420 for Substitutes, 163 for Side Effects, 21 for Refinements and 606 for Usage have been extracted so far. UNaProd can contribute to clustering drugs based on their attributes, generating the special ontology of ITM and ultimately support modern drug discovery3. This is merely the gateway for our future investigations. More authentic resources in the complementary and alternative medicine such as Chinese or Indian traditional medicine4 have to be added and integrated into UNaProd, and also with the help of text mining algorithms, more drug attributes could be completed systematically5. Moreover, we aim to provide a platform to extend the existing database and completing drug attributes as a crowdsourcing project. The UNaProd is freely available at http://jafarilab.com/uniprodکلیدواژه ها
Iranian Traditional Medicine; Makhzan-AL-Advieh; Natural Product; Databaseاطلاعات بیشتر در مورد COI
COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.
کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.