Free energy diagrams for protein function

Ruth Nussinov*, Chung Jung Tsai

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

27 Scopus citations

Abstract

Simplified representations can be powerful. Two common examples are sequence logos and ribbon diagrams. Both have been extraordinarily successful in capturing complex static features of sequences and structures. Capturing function is challenging, since activation involves triggered dynamic shifts between ON and OFF states. Here, we show that simple funnel drawings can capture and usefully portray proteins by their cellular triggering mechanism. The funnel shape around the proteins' native states can describe mechanisms of upstream signal integration and downstream response. "Function diagrams" are important: they can combine diverse biochemical data to visually distinguish among activation (or recruitment) mechanisms and tag proteins in cellular networks, clarifying their mechanism at a glance. We create templates for function classification and suggest that they can extend signaling pathway maps. Of note, the diagrams describe free energy landscapes; thus, they can be quantified. We name our dynamic free-energy diagrams dFEDs.

Original languageEnglish
Pages (from-to)311-318
Number of pages8
JournalChemistry and Biology
Volume21
Issue number3
DOIs
StatePublished - 20 Mar 2014

Funding

FundersFunder number
National Cancer InstituteHHSN261200800001E, ZIABC010442

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