Open Access
Natural language processing: put your model where your mouth is
Author(s) -
Haggerty Rachel A,
Purvis Jeremy E
Publication year - 2017
Publication title -
molecular systems biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 8.523
H-Index - 148
ISSN - 1744-4292
DOI - 10.15252/msb.20178077
Subject(s) - chapel , history , environmental ethics , art history , philosophy
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 , [Gyori BM, 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.