TY - JOUR
T1 - Free energy diagrams for protein function
AU - Nussinov, Ruth
AU - Tsai, Chung Jung
N1 - Funding Information:
We thank Professors Peter Wolynes and José Onuchic for insightful discussions on how to quantify the different possible mechanisms of input integration. This project has been funded in whole or in part by federal funds from the National Cancer Institute under contract number HHSN261200800001E. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. government. This research was supported (in part) by the Intramural Research Program of the National Cancer Institute, Center for Cancer Research.
PY - 2014/3/20
Y1 - 2014/3/20
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84897052340&partnerID=8YFLogxK
U2 - 10.1016/j.chembiol.2013.12.015
DO - 10.1016/j.chembiol.2013.12.015
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AN - SCOPUS:84897052340
SN - 1074-5521
VL - 21
SP - 311
EP - 318
JO - Chemistry and Biology
JF - Chemistry and Biology
IS - 3
ER -