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Updated: May 11, 2026

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

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基于机器学习的高通量查,分子建模和量子化学分析,以调查结核菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌菌

Rajesh Maharjan1, Kalpana Gyawali1, Arjun Acharya1

  • 1Central Department of Physics, Tribhuvan University, Kathmandu, 44600, Nepal.

ChemistryOpen
|February 25, 2025
PubMed
概括

耐药结核病 (Mtb) 的治疗具有挑战性. 这项研究确定了两种潜在的候选药物,L1和L2,使用计算方法向Mtb甲基-tRNA合成酶 (MtbMetRS),显示出有希望的结合性和安全性.

关键词:
有约束力的自由能源.机器学习是机器学习.分子对接的分子对接.分子动力学模拟的模拟.结核病菌菌菌的结核病菌的结核病.

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