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Updated: May 7, 2026

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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一个双模型机器学习框架用于可解释的设计和C-化抗菌的集体预测

Dang-Huy Le1, Yujie Zhu2, Tianmeng Zhang2

  • 1School of Engineering, STEM College, RMIT University, Melbourne, Victoria 3000, Australia.

ACS applied materials & interfaces
|March 5, 2026
PubMed
概括

这项研究介绍了CAmidPred,这是设计和预测C端化抗菌 (AMP) 的新框架. 它通过优化序列和化学修饰来增强AMP对大肠杆菌等细菌的疗效.

关键词:
在C-终端的化.抗微生物类的抗微生物.深度学习是一种深度学习.整体预测 整体预测可以解释的机器学习.

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PK–PD modeling has significantly influenced FDA regulatory decisions, particularly drug approval, dosage optimization, and labeling. These models integrate pharmacokinetics (PK) and pharmacodynamics (PD) to predict drug behavior and effects, aiding in optimizing dosing regimens and enhancing the probability of clinical trial success.One notable example is Nesiritide (Natrecor®), a recombinant human brain natriuretic peptide for treating acute decompensated congestive heart failure (CHF).