DARPA's Big Mechanism program

Research output: Contribution to journalArticle

27 Citations (Scopus)

Abstract

Reductionist science produces causal models of small fragments of complicated systems. Causal models of entire systems can be hard to construct because what is known of them is distributed across a vast amount of literature. The Big Mechanism program aims to have machines read the literature and assemble the causal fragments found in individual papers into huge causal models, automatically. The current domain of the program is cell signalling associated with Ras-driven cancers.

Original languageEnglish (US)
Article number045008
JournalPhysical Biology
Volume12
Issue number4
DOIs
StatePublished - Jul 1 2015
Externally publishedYes

Fingerprint

Neoplasms

Keywords

  • artificial intelligence
  • biocuration
  • information extraction
  • machine reading
  • modeling
  • signaling pathways
  • systems biology

ASJC Scopus subject areas

  • Biophysics
  • Molecular Biology
  • Cell Biology
  • Structural Biology

Cite this

DARPA's Big Mechanism program. / Cohen, Paul R.

In: Physical Biology, Vol. 12, No. 4, 045008, 01.07.2015.

Research output: Contribution to journalArticle

@article{b97326daab514964837e3032234a2d46,
title = "DARPA's Big Mechanism program",
abstract = "Reductionist science produces causal models of small fragments of complicated systems. Causal models of entire systems can be hard to construct because what is known of them is distributed across a vast amount of literature. The Big Mechanism program aims to have machines read the literature and assemble the causal fragments found in individual papers into huge causal models, automatically. The current domain of the program is cell signalling associated with Ras-driven cancers.",
keywords = "artificial intelligence, biocuration, information extraction, machine reading, modeling, signaling pathways, systems biology",
author = "Cohen, {Paul R}",
year = "2015",
month = "7",
day = "1",
doi = "10.1088/1478-3975/12/4/045008",
language = "English (US)",
volume = "12",
journal = "Physical Biology",
issn = "1478-3967",
publisher = "IOP Publishing Ltd.",
number = "4",

}

TY - JOUR

T1 - DARPA's Big Mechanism program

AU - Cohen, Paul R

PY - 2015/7/1

Y1 - 2015/7/1

N2 - Reductionist science produces causal models of small fragments of complicated systems. Causal models of entire systems can be hard to construct because what is known of them is distributed across a vast amount of literature. The Big Mechanism program aims to have machines read the literature and assemble the causal fragments found in individual papers into huge causal models, automatically. The current domain of the program is cell signalling associated with Ras-driven cancers.

AB - Reductionist science produces causal models of small fragments of complicated systems. Causal models of entire systems can be hard to construct because what is known of them is distributed across a vast amount of literature. The Big Mechanism program aims to have machines read the literature and assemble the causal fragments found in individual papers into huge causal models, automatically. The current domain of the program is cell signalling associated with Ras-driven cancers.

KW - artificial intelligence

KW - biocuration

KW - information extraction

KW - machine reading

KW - modeling

KW - signaling pathways

KW - systems biology

UR - http://www.scopus.com/inward/record.url?scp=84937597394&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84937597394&partnerID=8YFLogxK

U2 - 10.1088/1478-3975/12/4/045008

DO - 10.1088/1478-3975/12/4/045008

M3 - Article

C2 - 26178259

AN - SCOPUS:84937597394

VL - 12

JO - Physical Biology

JF - Physical Biology

SN - 1478-3967

IS - 4

M1 - 045008

ER -