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Estimating Potency in High-Throughput Screening Experiments by Maximizing the Rate of Change in Weighted Shannon Entropy
High-throughput in vitro screening experiments can be used to generate concentration-response data for large chemical libraries. It is often desirable to estimate the concentration needed to achieve a particular effect, or potency, for each chemical tested in an assay. Potency estimates can be used...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group
2016
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908415/ https://www.ncbi.nlm.nih.gov/pubmed/27302286 http://dx.doi.org/10.1038/srep27897 |
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author | Shockley, Keith R. |
author_facet | Shockley, Keith R. |
author_sort | Shockley, Keith R. |
collection | PubMed |
description | High-throughput in vitro screening experiments can be used to generate concentration-response data for large chemical libraries. It is often desirable to estimate the concentration needed to achieve a particular effect, or potency, for each chemical tested in an assay. Potency estimates can be used to directly compare chemical profiles and prioritize compounds for confirmation studies, or employed as input data for prediction modeling and association mapping. The concentration for half-maximal activity derived from the Hill equation model (i.e., AC(50)) is the most common potency measure applied in pharmacological research and toxicity testing. However, the AC(50) parameter is subject to large uncertainty for many concentration-response relationships. In this study we introduce a new measure of potency based on a weighted Shannon entropy measure termed the weighted entropy score (WES). Our potency estimator (Point of Departure, POD(WES)) is defined as the concentration producing the maximum rate of change in weighted entropy along a concentration-response profile. This approach provides a new tool for potency estimation that does not depend on the assumption of monotonicity or any other pre-specified concentration-response relationship. POD(WES) estimates potency with greater precision and less bias compared to the conventional AC(50) assessed across a range of simulated conditions. |
format | Online Article Text |
id | pubmed-4908415 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49084152016-06-15 Estimating Potency in High-Throughput Screening Experiments by Maximizing the Rate of Change in Weighted Shannon Entropy Shockley, Keith R. Sci Rep Article High-throughput in vitro screening experiments can be used to generate concentration-response data for large chemical libraries. It is often desirable to estimate the concentration needed to achieve a particular effect, or potency, for each chemical tested in an assay. Potency estimates can be used to directly compare chemical profiles and prioritize compounds for confirmation studies, or employed as input data for prediction modeling and association mapping. The concentration for half-maximal activity derived from the Hill equation model (i.e., AC(50)) is the most common potency measure applied in pharmacological research and toxicity testing. However, the AC(50) parameter is subject to large uncertainty for many concentration-response relationships. In this study we introduce a new measure of potency based on a weighted Shannon entropy measure termed the weighted entropy score (WES). Our potency estimator (Point of Departure, POD(WES)) is defined as the concentration producing the maximum rate of change in weighted entropy along a concentration-response profile. This approach provides a new tool for potency estimation that does not depend on the assumption of monotonicity or any other pre-specified concentration-response relationship. POD(WES) estimates potency with greater precision and less bias compared to the conventional AC(50) assessed across a range of simulated conditions. Nature Publishing Group 2016-06-15 /pmc/articles/PMC4908415/ /pubmed/27302286 http://dx.doi.org/10.1038/srep27897 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Shockley, Keith R. Estimating Potency in High-Throughput Screening Experiments by Maximizing the Rate of Change in Weighted Shannon Entropy |
title | Estimating Potency in High-Throughput Screening Experiments by Maximizing the Rate of Change in Weighted Shannon Entropy |
title_full | Estimating Potency in High-Throughput Screening Experiments by Maximizing the Rate of Change in Weighted Shannon Entropy |
title_fullStr | Estimating Potency in High-Throughput Screening Experiments by Maximizing the Rate of Change in Weighted Shannon Entropy |
title_full_unstemmed | Estimating Potency in High-Throughput Screening Experiments by Maximizing the Rate of Change in Weighted Shannon Entropy |
title_short | Estimating Potency in High-Throughput Screening Experiments by Maximizing the Rate of Change in Weighted Shannon Entropy |
title_sort | estimating potency in high-throughput screening experiments by maximizing the rate of change in weighted shannon entropy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908415/ https://www.ncbi.nlm.nih.gov/pubmed/27302286 http://dx.doi.org/10.1038/srep27897 |
work_keys_str_mv | AT shockleykeithr estimatingpotencyinhighthroughputscreeningexperimentsbymaximizingtherateofchangeinweightedshannonentropy |