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Related Concept Videos

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Neural Circuits

Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
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Related Experiment Video

Updated: May 29, 2026

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
11:14

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

Crowdsourcing network inference: the DREAM predictive signaling network challenge.

Robert J Prill1, Julio Saez-Rodriguez, Leonidas G Alexopoulos

  • 1IBM Computational Biology Center, Yorktown Heights, NY, 10598, USA.

Science Signaling
|September 9, 2011
PubMed
Summary

Inferring protein signaling networks (PSNs) from phosphoproteomics data is challenging. Crowdsourcing network construction, involving multiple research groups, offers a promising strategy for accurate PSN inference and validation.

Related Experiment Videos

Last Updated: May 29, 2026

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
11:14

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

Area of Science:

  • Systems Biology
  • Computational Biology
  • Proteomics

Background:

  • Phosphoproteomic data offers insights into cellular signaling.
  • Inferring protein signaling networks (PSNs) from this data is complex due to data limitations and algorithmic challenges.

Purpose of the Study:

  • To assess the accuracy of inferred PSNs using a case study.
  • To establish a framework for combining PSNs from multiple sources.

Main Methods:

  • A crowdsourcing approach involving 12 research groups.
  • Inference of PSNs from a phosphoproteomics dataset.
  • Assessment of inferred PSNs based on prediction accuracy.

Main Results:

  • Concurrent prediction of previously unreported signaling interactions by multiple teams.
  • Demonstrated a framework for creating a composite PSN from individual inferences.

Conclusions:

  • Crowdsourcing is an effective strategy for inferring accurate protein signaling networks.
  • The developed framework facilitates validation and integration of inferred networks.