2020
DOI: 10.1086/706093
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Binding Specificity and Causal Selection in Drug Design

Abstract: 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 ーof how and why scientists distinguish between causes, not… Show more

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Cited by 8 publications
(13 citation statements)
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“…More recently, philosophers of science have started to resist Millean parity in the context of scientific explanations (Baxter, 2019;Franklin-Hall, 2015;Lean, 2019;Plutynski, 2018;Ross, 2018;Waters, 2007;Weber, forthcoming-a;Woodward, 2010). The starting point for such attempts is the realization that not all causal relationships are alike; they may differ in various respects.…”
Section: Taking a Causal Perspective In The Analysis Of The Practices...mentioning
confidence: 99%
“…More recently, philosophers of science have started to resist Millean parity in the context of scientific explanations (Baxter, 2019;Franklin-Hall, 2015;Lean, 2019;Plutynski, 2018;Ross, 2018;Waters, 2007;Weber, forthcoming-a;Woodward, 2010). The starting point for such attempts is the realization that not all causal relationships are alike; they may differ in various respects.…”
Section: Taking a Causal Perspective In The Analysis Of The Practices...mentioning
confidence: 99%
“…Moving now to discrete and continuous quantitative variables that have the same properties as ordinal variables and, furthermore, on which arithmetic operations can be performed, the very same limitations to measure Woodward-invariance using Equation (9) or Equation (13) will apply. The only difference between strictly ordinal and quantitative variables is that in the case of quantitative variables the relationship between C and E can be represented using the values of the two variables directly, rather than their ranks (we have more quantifiable semantic information than in the case of ordinal variables).…”
Section: Invariance and Non-nominal Variablesmentioning
confidence: 99%
“…Combining Equations ( 7) and ( 8), we get Equation (9).…”
Section: Conflicts Of Interestmentioning
confidence: 99%
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