计算生物学
片段(逻辑)
选择(遗传算法)
药物发现
生物
计算机科学
生物信息学
人工智能
算法
作者
Guixian Zhao,Mengping Zhu,Yangfeng Li,Gong Zhang,Yizhou Li
标识
DOI:10.1080/17460441.2024.2354287
摘要
The effectiveness of Fragment-based drug design (FBDD) for targeting challenging therapeutic targets has been hindered by two factors: the small library size and the complexity of the fragment-to-hit optimization process. The DNA-encoded library (DEL) technology offers a compelling and robust high-throughput selection approach to potentially address these limitations.
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