巨量平行
DNA
忠诚
大规模并行测序
计算机科学
药物发现
药品
计算生物学
纳米技术
组合化学
化学
并行计算
材料科学
DNA测序
生物
生物化学
药理学
电信
作者
Grant Koch,Meghan Lawler,Adam Murray,Neil Carlson,Alexander Engstrom,Panpan Zhang,Mariel Steiner,Sarah Beth Avila,Kaileigh Cloutier-Leblanc,Sumudu P. Leelananda,LaShadric Grady,Jaru Taechalertpaisarn,Conor Corcoran,Nicolas Tilmans,R. Scott Lokey
标识
DOI:10.1021/acs.jmedchem.6c01722
摘要
Abstract DNA-encoded libraries (DELs) are powerful drug discovery tools, enabling rapid hit generation against immobilized protein targets. However, translating these hits is often hampered by synthetic inefficiency and, for libraries of “beyond-Rule-of-5” compounds such as macrocyclic peptides, by enrichment of poorly cell-permeable members. Here we introduce LC-seq, a sequencing-based chromatographic strategy that simultaneously assesses synthetic fidelity and permeability-relevant lipophilicity for individual library members. Applying LC-seq to a proof-of-concept 120,000-member peptide library, we mapped reaction efficiency across all synthetic cycles and measured each member’s lipophilicity from sequencing-count-derived retention times. We identified building-block-specific structure–reactivity trends, and the on-DNA lipophilicities of resynthesized members correlated strongly with their off-DNA lipophilicities and passive permeability in artificial membranes. This simple approach enables direct, per-member assessment of compound quality and lipophilicity, with projected scalability to libraries of millions.
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