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Binding Specificity and Causal Selection in Drug Design

Bibliographic Data

ID10708262
AuthorsOliver M Lean (0000-0002-2787-8441, corresponding author)
Year2020
Volume87
Issue1
Pages70-90
Publication date2020-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePhilosophy of Science (JOURNAL)
Journal identifiersISSN: 0031-8248 • E-ISSN: 1539-767X
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1086/706093
OpenAlexW2955424951
LanguageEN
Citations received3
References cited20

Binding specificity is a centrally important concept in molecular biology, yet it has received little philosophical attention. Here I aim to remedy this by analyzing binding specificity as a causal property. I focus on the concept’s role in drug design, where it is highly prized and hence directly studied. From a causal perspective, understanding why binding specificity is a valuable property of drugs contributes to an understanding of causal selection—of how and why scientists distinguish between causes, not just causes from noncauses. In particular, the specificity of drugs is precisely what underwrites their value as experimental interventions on biological processes

Biology · Causal structure · Computational biology · Epistemology · Focus (optics) · Machine learning · Perspective (graphical) · Property (philosophy) · Selection (genetic algorithm) · Value (mathematics) · Artificial Intelligence · Computational Drug Discovery Methods · Computer Science · Gene Regulatory Network Analysis · Pharmacogenetics and Drug Metabolism · Philosophy · Psychology

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Unique citing works3
Citations per year0,6
Citation span2021 - 2025 (5)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 3

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