Takafumi Takai, Brandon D Jeffy, Swathi Prabhu, Jennifer D Cohen
{"title":"基于化学结构的药物主要靶点和非靶点的计算机预测回顾性分析","authors":"Takafumi Takai, Brandon D Jeffy, Swathi Prabhu, Jennifer D Cohen","doi":"10.1016/j.comtox.2023.100273","DOIUrl":null,"url":null,"abstract":"<div><p>In early phases of the drug discovery process, evaluating the off-target pharmacology of a candidate drug is important when considering potential safety risks. Such off-target liabilities are most commonly evaluated using panels of <em>in vitro</em> pharmacology assays with strong association to well-defined toxicological events. In addition to <em>in vitro</em> panels, preliminary <em>in silico</em> evaluation is emerging as a valuable approach to support identification of potential off-target hits, even prior to synthesis of chemical material. To ascertain the utility of <em>in silico</em> target profiling, the predictive performance of a proprietary <em>in silico</em> predictive tool was evaluated against an in-house data set of 94 compounds with associated <em>in vitro</em> panel data, including binding inhibition and functional agonism/antagonism. Of the compounds tested, the primary target was predicted with 35% sensitivity. However, the sensitivity to predict the primary target decreased to 16% for a subset of compounds not reported within the Chemical Abstracts Service registry. For the known off-target hits for all tested compounds, the value of sensitivity was 16% for binding assays and 23% for functional assays. To better understand the applicability of the <em>in silico</em> off-target prediction, we performed <em>in vitro</em> binding assays, to evaluate five additional off-targets that were predicted by <em>in silico</em> but not covered by our standard off-target binding or functional panels. Although no new off-target hit was identified through this campaign, as technologies evolve, the <em>in silico</em> predictions could provide valuable insights to identify potential off-targets and mechanistic insights on target organ toxicities caused by compounds in <em>in vivo</em> studies.</p></div>","PeriodicalId":37651,"journal":{"name":"Computational Toxicology","volume":null,"pages":null},"PeriodicalIF":3.1000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Retrospective Analysis of Chemical Structure-Based in silico Prediction of Primary Drug Target and Off-Targets\",\"authors\":\"Takafumi Takai, Brandon D Jeffy, Swathi Prabhu, Jennifer D Cohen\",\"doi\":\"10.1016/j.comtox.2023.100273\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In early phases of the drug discovery process, evaluating the off-target pharmacology of a candidate drug is important when considering potential safety risks. Such off-target liabilities are most commonly evaluated using panels of <em>in vitro</em> pharmacology assays with strong association to well-defined toxicological events. In addition to <em>in vitro</em> panels, preliminary <em>in silico</em> evaluation is emerging as a valuable approach to support identification of potential off-target hits, even prior to synthesis of chemical material. To ascertain the utility of <em>in silico</em> target profiling, the predictive performance of a proprietary <em>in silico</em> predictive tool was evaluated against an in-house data set of 94 compounds with associated <em>in vitro</em> panel data, including binding inhibition and functional agonism/antagonism. Of the compounds tested, the primary target was predicted with 35% sensitivity. However, the sensitivity to predict the primary target decreased to 16% for a subset of compounds not reported within the Chemical Abstracts Service registry. For the known off-target hits for all tested compounds, the value of sensitivity was 16% for binding assays and 23% for functional assays. To better understand the applicability of the <em>in silico</em> off-target prediction, we performed <em>in vitro</em> binding assays, to evaluate five additional off-targets that were predicted by <em>in silico</em> but not covered by our standard off-target binding or functional panels. Although no new off-target hit was identified through this campaign, as technologies evolve, the <em>in silico</em> predictions could provide valuable insights to identify potential off-targets and mechanistic insights on target organ toxicities caused by compounds in <em>in vivo</em> studies.</p></div>\",\"PeriodicalId\":37651,\"journal\":{\"name\":\"Computational Toxicology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2023-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational Toxicology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2468111323000142\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"TOXICOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Toxicology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468111323000142","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TOXICOLOGY","Score":null,"Total":0}
Retrospective Analysis of Chemical Structure-Based in silico Prediction of Primary Drug Target and Off-Targets
In early phases of the drug discovery process, evaluating the off-target pharmacology of a candidate drug is important when considering potential safety risks. Such off-target liabilities are most commonly evaluated using panels of in vitro pharmacology assays with strong association to well-defined toxicological events. In addition to in vitro panels, preliminary in silico evaluation is emerging as a valuable approach to support identification of potential off-target hits, even prior to synthesis of chemical material. To ascertain the utility of in silico target profiling, the predictive performance of a proprietary in silico predictive tool was evaluated against an in-house data set of 94 compounds with associated in vitro panel data, including binding inhibition and functional agonism/antagonism. Of the compounds tested, the primary target was predicted with 35% sensitivity. However, the sensitivity to predict the primary target decreased to 16% for a subset of compounds not reported within the Chemical Abstracts Service registry. For the known off-target hits for all tested compounds, the value of sensitivity was 16% for binding assays and 23% for functional assays. To better understand the applicability of the in silico off-target prediction, we performed in vitro binding assays, to evaluate five additional off-targets that were predicted by in silico but not covered by our standard off-target binding or functional panels. Although no new off-target hit was identified through this campaign, as technologies evolve, the in silico predictions could provide valuable insights to identify potential off-targets and mechanistic insights on target organ toxicities caused by compounds in in vivo studies.
期刊介绍:
Computational Toxicology is an international journal publishing computational approaches that assist in the toxicological evaluation of new and existing chemical substances assisting in their safety assessment. -All effects relating to human health and environmental toxicity and fate -Prediction of toxicity, metabolism, fate and physico-chemical properties -The development of models from read-across, (Q)SARs, PBPK, QIVIVE, Multi-Scale Models -Big Data in toxicology: integration, management, analysis -Implementation of models through AOPs, IATA, TTC -Regulatory acceptance of models: evaluation, verification and validation -From metals, to small organic molecules to nanoparticles -Pharmaceuticals, pesticides, foods, cosmetics, fine chemicals -Bringing together the views of industry, regulators, academia, NGOs