Natural language processing: put your model where your mouth is

Molecular mechanisms are often described using “word models”—phrases intended to capture the interactions in a biological process. In their recent work, Sorger and colleagues (Gyori et al, 2017) provide a framework for converting word models into computational structures that can be simulated and compared to experimental data. By codifying word‐based descriptions of molecular phenomena, scientific communities can better evaluate, compare, and share mechanistic insights.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Natural language processing: put your model where your mouth is ; volume:13 ; number:12 ; year:2017 ; extent:3
Molecular systems biology ; 13, Heft 12 (2017) (gesamt 3)

Creator
Haggerty, Rachel A.
Purvis, Jeremy E.

DOI
10.15252/msb.20178077
URN
urn:nbn:de:101:1-2022100605471386672475
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:26 AM CEST

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Associated

  • Haggerty, Rachel A.
  • Purvis, Jeremy E.

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