関連する実験動画

Updated: May 2, 2026

A Microscopic Phenotypic Assay for the Quantification of Intracellular Mycobacteria Adapted for High-throughput/High-content Screening
15:28

A Microscopic Phenotypic Assay for the Quantification of Intracellular Mycobacteria Adapted for High-throughput/High-content Screening

Published on: January 17, 2014

8.2K

マルチモデルの機械学習と分子モデリングにより,Mycobacterium tuberculosisタンパク質チロシンフォスファタゼBの構造的に多様な阻害物質が検出されました

Mohd Imran1,2

  • 1Center For Health Research, Northern Border University, 73213, Arar, Saudi Arabia. imran.pchem@gmail.com.

Molecular diversity
|February 18, 2026
PubMed
まとめ

この研究は,Mycobacterium tuberculosis (Mtb) の重要な毒性の要因であるタンパク質チロシンフォスファタゼB (PtpB) を標的とする潜在的な薬物を特定するためのコンピューティングの枠組みを開発しました. 将来の抗結核薬の開発のために有望な化学的支架が特定されました.

キーワード:
ミコバクテリウム結核菌 (Mycobacterium tuberculosis) が感染している.機械学習 (Machine Learning) とは,機械学習 (Machine Learning) というものです.分子モデリングネットワーク薬理学タンパク質チロシンフォスファタゼBQSARはQSARという名前です.

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