Comparative evaluation of DNA-encoded chemical selections performed using DNA in single-stranded or double-stranded format

DNA 双绞线 计算生物学 DNA测序 生物 寡核苷酸 分子生物学 生物化学
作者
Gabriele Bassi,Nicholas Favalli,Sebastian Oehler,Adriano Martinelli,Marco Catalano,Jörg Scheuermann,Dario Neri
出处
期刊:Biochemical and Biophysical Research Communications [Elsevier]
卷期号:533 (2): 223-229 被引量:15
标识
DOI:10.1016/j.bbrc.2020.04.035
摘要

DNA-encoded chemical libraries (DEL) are increasingly being used for the discovery and optimization of small organic ligands to proteins of biological or pharmaceutical interest. The DNA fragments, that serve as amplifiable identification barcodes for individual compounds in the library, are typically used in double-stranded DNA format. To the best of our knowledge, a direct comparison of DEL selections featuring DNA in either single- or double-stranded DNA format has not yet been reported. In this article, we describe a comparative evaluation of selections with two DEL libraries (named GB-DEL and NF-DEL), based on different chemical designs and produced in both single- and double-stranded DNA format. The libraries were selected in identical conditions against multiple protein targets, revealing comparable and reproducible fingerprints for both types of DNA formats. Surprisingly, selections performed with single-stranded DNA barcodes exhibited improved enrichment factors compared to double-stranded DNA. Using high-affinity ligands to carbonic anhydrase IX as benchmarks for selection performance, we observed an improved selectivity for the NF-DEL library (on average 2-fold higher enrichment factors) in favor of single-stranded DNA. The enrichment factors were even higher for the GB-DEL selections (approximately 5-fold), compared to the same library in double-stranded DNA format. Collectively, these results indicate that DEL libraries can conveniently be synthesized and screened in both single- and double-stranded DNA format, but single-stranded DNA barcodes typically yield enhanced enrichment factors.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
Singularity发布了新的文献求助10
1秒前
搜集达人应助今天真暖采纳,获得10
1秒前
Crema应助LXY采纳,获得10
1秒前
盛夏如花发布了新的文献求助10
2秒前
4秒前
Orange应助又得起名了采纳,获得10
5秒前
WeiSS发布了新的文献求助10
5秒前
普拉姆发布了新的文献求助10
6秒前
6秒前
6秒前
6秒前
7秒前
恒恒666完成签到 ,获得积分10
8秒前
Orange应助流星采纳,获得10
9秒前
皮卡发布了新的文献求助10
9秒前
muyangsiyuan发布了新的文献求助10
10秒前
10秒前
Fiang发布了新的文献求助10
10秒前
11秒前
科研通AI2S应助crazy采纳,获得10
12秒前
智慧脑袋不秃头完成签到,获得积分20
12秒前
酷波er应助六个核桃采纳,获得10
13秒前
13秒前
龙k完成签到 ,获得积分10
13秒前
王哪跑12发布了新的文献求助10
14秒前
15秒前
16秒前
高sir发布了新的文献求助20
18秒前
18秒前
脑洞疼应助早早发论文采纳,获得10
19秒前
17860690918发布了新的文献求助10
19秒前
19秒前
wanci应助孤独的晓丝采纳,获得10
19秒前
笑点低不言完成签到,获得积分10
20秒前
流星发布了新的文献求助10
21秒前
书羽发布了新的文献求助10
22秒前
不安栾发布了新的文献求助10
23秒前
24秒前
hanzhiyuxing发布了新的文献求助10
24秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2500
Востребованный временем 2500
Aspects of Babylonian celestial divination : the lunar eclipse tablets of enuma anu enlil 1500
Agaricales of New Zealand 1: Pluteaceae - Entolomataceae 1040
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 1000
Classics in Total Synthesis IV: New Targets, Strategies, Methods 1000
Devlopment of GaN Resonant Cavity LEDs 666
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3455209
求助须知:如何正确求助?哪些是违规求助? 3050548
关于积分的说明 9021471
捐赠科研通 2739114
什么是DOI,文献DOI怎么找? 1502452
科研通“疑难数据库(出版商)”最低求助积分说明 694529
邀请新用户注册赠送积分活动 693302