文献
J-GLOBAL ID:202202290681753453
整理番号:22A1038575
インスリンシグナル伝達経路を標的とするもっともらしい鉛天然化合物の創薬:バイオインフォマティクスアプローチ【JST・京大機械翻訳】
Drug Discovery of Plausible Lead Natural Compounds That Target the Insulin Signaling Pathway: Bioinformatics Approaches
著者 (8件):
Shanak Siba
(Faculty of Sciences, Arab American University, P.O Box 240, Jenin, State of Palestine)
,
Bassalat Najlaa
(Faculty of Sciences, Arab American University, P.O Box 240, Jenin, State of Palestine)
,
Bassalat Najlaa
(Faculty of Medicine, Arab American University, P.O Box 240, Jenin, State of Palestine)
,
Barghash Ahmad
(Computer Science Department, German Jordanian University, Madaba Street. P.O. Box 35247, Amman 11180, Jordan)
,
Kadan Sleman
(Qasemi Research Center, Al-Qasemi Academic College, P.O Box 124, Baqa El-Gharbia 30100, Israel)
,
Ardah Mahmoud
(Faculty of Sciences, Arab American University, P.O Box 240, Jenin, State of Palestine)
,
Zaid Hilal
(Faculty of Medicine, Arab American University, P.O Box 240, Jenin, State of Palestine)
,
Zaid Hilal
(Qasemi Research Center, Al-Qasemi Academic College, P.O Box 124, Baqa El-Gharbia 30100, Israel)
資料名:
Evidence-Based Complementary and Alternative Medicine (Web)
(Evidence-Based Complementary and Alternative Medicine (Web))
巻:
2022
ページ:
Null
発行年:
2022年
JST資料番号:
U7703A
ISSN:
1741-427X
資料種別:
逐次刊行物 (A)
記事区分:
文献レビュー
発行国:
イギリス (GBR)
言語:
英語 (EN)