{"title":"Disruptions in bioactivity driven by dose: a challenge for drug discovery","authors":"David Ramírez-Palma, Karina Martinez-Mayorga","doi":"10.1016/j.drudis.2025.104472","DOIUrl":null,"url":null,"abstract":"<div><div>Dose-driven disruptions in bioactivity challenge traditional, structure-focused drug discovery, which often overlooks effects beyond structural factors. Whereas classical dose–response describes quantitative changes in the magnitude of a given effect, evidence shows that many compounds also display biphasic or inverted dose–response profiles and, by extension, dose-dependent shifts in activity type. These phenomena can cause abrupt potency transitions, or even qualitative activity switches, akin to structural activity cliffs, but driven by concentration. Incorporating such effects into activity prediction models (APMs) requires nonlinear modeling, biologically contextualized data sets, and biomacromolecule-focused classification. Recognizing that biological systems exhibit both gradual dose–response behaviors and disruptive, concentration-dependent activity switches will enhance predictive accuracy and guide the development of mechanism-informed drug discovery pipelines.</div></div>","PeriodicalId":301,"journal":{"name":"Drug Discovery Today","volume":"30 10","pages":"Article 104472"},"PeriodicalIF":7.5000,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drug Discovery Today","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1359644625001850","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0
Abstract
Dose-driven disruptions in bioactivity challenge traditional, structure-focused drug discovery, which often overlooks effects beyond structural factors. Whereas classical dose–response describes quantitative changes in the magnitude of a given effect, evidence shows that many compounds also display biphasic or inverted dose–response profiles and, by extension, dose-dependent shifts in activity type. These phenomena can cause abrupt potency transitions, or even qualitative activity switches, akin to structural activity cliffs, but driven by concentration. Incorporating such effects into activity prediction models (APMs) requires nonlinear modeling, biologically contextualized data sets, and biomacromolecule-focused classification. Recognizing that biological systems exhibit both gradual dose–response behaviors and disruptive, concentration-dependent activity switches will enhance predictive accuracy and guide the development of mechanism-informed drug discovery pipelines.
期刊介绍:
Drug Discovery Today delivers informed and highly current reviews for the discovery community. The magazine addresses not only the rapid scientific developments in drug discovery associated technologies but also the management, commercial and regulatory issues that increasingly play a part in how R&D is planned, structured and executed.
Features include comment by international experts, news and analysis of important developments, reviews of key scientific and strategic issues, overviews of recent progress in specific therapeutic areas and conference reports.