机器学习用于蛋白质科学和工程
Peter K Koo1, Christian Dallago2, Ananthan Nambiar3
1Simons Center for Quantitative Biology, Cancer Center Member, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA koo@cshl.edu christian.dallago@duke.edu nambiar4@illinois.edu yang.kevin@microsoft.com.
Cold Spring Harbor perspectives in biology
|May 5, 2025
概括
机器学习,包括AlphaFold,正在改变蛋白质科学,用于预测,功能分析和设计. 可持续计算对于平衡这些强大的AI进步至关重要.
科学领域:
- 机器学习和蛋白质科学的交叉点.
- 计算生物学和生物信息学的进步.
背景情况:
- 像AlphaFold这样的工具对蛋白质结构预测的革命性影响.
- 变异效应预测和功能注释中的新兴应用.
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