Dealing with Molecular Complexity. Atomistic Computer Simulations and Scientific Explanation

Perspectives on Science 31 (5):594-626 (2023)
  Copy   BIBTEX

Abstract

Explanation is commonly considered one of the central goals of science. Although computer simulations have become an important tool in many scientific areas, various philosophical concerns indicate that their explanatory power requires further scrutiny. We examine a case study in which atomistic simulations have been used to examine the factors responsible for the transport selectivity of certain channel proteins located at cell membranes. By elucidating how precisely atomistic simulations helped scientists draw inferences about the molecular system under investigation, we respond to some concerns regarding their explanatory power. We argue that atomistic simulations can be tools for managing molecular complexity and for systematically assessing how the occurrence of the explanandum is sensitive to a range of factors.

Other Versions

No versions found

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 100,865

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

What Kind of Science is Simulation?Robb Eason, Robert Rosenberger, Trina Kokalis, Evan Selinger & Patrick Grim - 2007 - Journal for Experimental and Theoretical Artificial Intelligence 19:19-28.
Idealizations in Astrophysical Computer Simulations.Melissa Jacquart & Regy-Null R. Arcadia - 2023 - In Nora Mills Boyd, Siska De Baerdemaeker, Kevin Heng & Vera Matarese (eds.), Philosophy of Astrophysics: Stars, Simulations, and the Struggle to Determine What is Out There. Springer Verlag. pp. 2147483647-2147483647.
Varying the Explanatory Span: Scientific Explanation for Computer Simulations.Juan Manuel Durán - 2017 - International Studies in the Philosophy of Science 31 (1):27-45.
How Digital Computer Simulations Explain Real‐World Processes.Ulrich Krohs - 2008 - International Studies in the Philosophy of Science 22 (3):277 – 292.
How to infer explanations from computer simulations.Florian J. Boge - 2020 - Studies in History and Philosophy of Science Part A 82:25-33.

Analytics

Added to PP
2023-04-14

Downloads
50 (#436,664)

6 months
3 (#1,471,056)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Julie Schweer
University of Heidelberg

Citations of this work

No citations found.

Add more citations

References found in this work

Explanation: a mechanist alternative.William Bechtel & Adele Abrahamsen - 2005 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 36 (2):421-441.
When mechanistic models explain.Carl F. Craver - 2006 - Synthese 153 (3):355-376.
Abstraction and the Organization of Mechanisms.Arnon Levy & William Bechtel - 2013 - Philosophy of Science 80 (2):241-261.

View all 18 references / Add more references