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配药过程会影响通过计算和统计分析确定的表观生物活性。

Dispensing processes impact apparent biological activity as determined by computational and statistical analyses.

机构信息

Collaborations in Chemistry, Fuquay-Varina, North Carolina, USA.

出版信息

PLoS One. 2013 May 1;8(5):e62325. doi: 10.1371/journal.pone.0062325. Print 2013.

DOI:10.1371/journal.pone.0062325
PMID:23658723
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3641061/
Abstract

Dispensing and dilution processes may profoundly influence estimates of biological activity of compounds. Published data show Ephrin type-B receptor 4 IC50 values obtained via tip-based serial dilution and dispensing versus acoustic dispensing with direct dilution differ by orders of magnitude with no correlation or ranking of datasets. We generated computational 3D pharmacophores based on data derived by both acoustic and tip-based transfer. The computed pharmacophores differ significantly depending upon dispensing and dilution methods. The acoustic dispensing-derived pharmacophore correctly identified active compounds in a subsequent test set where the tip-based method failed. Data from acoustic dispensing generates a pharmacophore containing two hydrophobic features, one hydrogen bond donor and one hydrogen bond acceptor. This is consistent with X-ray crystallography studies of ligand-protein interactions and automatically generated pharmacophores derived from this structural data. In contrast, the tip-based data suggest a pharmacophore with two hydrogen bond acceptors, one hydrogen bond donor and no hydrophobic features. This pharmacophore is inconsistent with the X-ray crystallographic studies and automatically generated pharmacophores. In short, traditional dispensing processes are another important source of error in high-throughput screening that impacts computational and statistical analyses. These findings have far-reaching implications in biological research.

摘要

配药和稀释过程可能会极大地影响化合物生物活性的估计。已发表的数据表明,通过基于尖端的连续稀释和分配与直接稀释的声控分配获得的 Ephrin type-B receptor 4 IC50 值差异很大,没有相关性或数据集的排序。我们基于声控和基于尖端的转移数据生成了计算三维药效团。计算出的药效团因分配和稀释方法而异。在随后的测试集中,基于声控分配的药效团正确识别出了活性化合物,而基于尖端的方法则失败了。声控分配产生的药效团包含两个疏水性特征、一个氢键供体和一个氢键受体。这与配体-蛋白质相互作用的 X 射线晶体学研究以及从该结构数据自动生成的药效团一致。相比之下,基于尖端的数据集表明药效团具有两个氢键受体、一个氢键供体和没有疏水性特征。这个药效团与 X 射线晶体学研究和自动生成的药效团不一致。简而言之,传统的配药过程是高通量筛选中另一个重要的误差源,会影响计算和统计分析。这些发现对生物研究具有深远的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/126e/3641061/f829dc814a94/pone.0062325.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/126e/3641061/43bb52211cf9/pone.0062325.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/126e/3641061/79224180c97a/pone.0062325.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/126e/3641061/f829dc814a94/pone.0062325.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/126e/3641061/43bb52211cf9/pone.0062325.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/126e/3641061/79224180c97a/pone.0062325.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/126e/3641061/f829dc814a94/pone.0062325.g003.jpg

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