生物信息学
破译
肺结核
药品
计算生物学
药物发现
抗药性
医学
数据科学
风险分析(工程)
计算机科学
生物
药理学
生物信息学
病理
微生物学
基因
生物化学
作者
Christian S. Carnero Canales,Aline Renata Pavan,Jean Leandro dos Santos,Fernando R. Pavan
标识
DOI:10.1080/17460441.2024.2319042
摘要
Introduction Tuberculosis remains a significant concern in global public health due to its intricate biology and propensity for developing antibiotic resistance. Discovering new drugs is a protracted and expensive endeavor, often spanning over a decade and incurring costs in the billions. However, computer-aided drug design (CADD) has surfaced as a nimbler and more cost-effective alternative. CADD tools enable us to decipher the interactions between therapeutic targets and novel drugs, making them invaluable in the quest for new tuberculosis treatments.
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