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Updated: Feb 15, 2026

In Silico Clinical Trials for Cardiovascular Disease
09:09

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

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ベンジミダゾール誘導体の研究におけるシリコアプローチ:最近の洞察

Pratiksha Narayan Sonwane1, Manoj Ramesh Kumbhare1

  • 1Department of Pharmaceutical Chemistry, S.M.B.T College of Pharmacy, Dhamangaon, Tq. Igatpuri, District: Nashik 422 403, India, Affiliated to Savitribai Phule Pune University, Pune.

Zhongguo ying yong sheng li xue za zhi = Zhongguo yingyong shenglixue zazhi = Chinese journal of applied physiology
|February 13, 2026
PubMed
まとめ

コンピューティング・メソッドは,構造的な変化が活性にどのように影響するか明らかにすることによって,ベンジミダゾール薬の発見を加速します. AIを含むこれらの高度な技術は,新しい効果的なベンジミダゾールベースの医薬品を開発するための費用対効果の高い経路を提供します.

キーワード:
ADMETの予測について人工知能 (AI) についてベンジミダゾール誘導体分子ドッキングです.分子ダイナミクス 分子ダイナミクスマルチターゲットの薬物デザインQSARモデリング合理的な薬物デザイン

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