Literature DB >> 24508196

Free energy diagrams for protein function.

Ruth Nussinov1, Chung-Jung Tsai2.   

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.
Copyright © 2014 Elsevier Ltd. All rights reserved.

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Year:  2014        PMID: 24508196     DOI: 10.1016/j.chembiol.2013.12.015

Source DB:  PubMed          Journal:  Chem Biol        ISSN: 1074-5521


  11 in total

1.  Nanosecond-Timescale Dynamics and Conformational Heterogeneity in Human GCK Regulation and Disease.

Authors:  Shawn M Sternisha; A Carl Whittington; Juliana A Martinez Fiesco; Carol Porter; Malcolm M McCray; Timothy Logan; Cristina Olivieri; Gianluigi Veglia; Peter J Steinbach; Brian G Miller
Journal:  Biophys J       Date:  2020-01-14       Impact factor: 4.033

Review 2.  Allostery: Allosteric Cancer Drivers and Innovative Allosteric Drugs.

Authors:  Ruth Nussinov; Mingzhen Zhang; Ryan Maloney; Yonglan Liu; Chung-Jung Tsai; Hyunbum Jang
Journal:  J Mol Biol       Date:  2022-04-01       Impact factor: 6.151

Review 3.  Oligomerization and nanocluster organization render specificity.

Authors:  Ruth Nussinov; Hyunbum Jang; Chung-Jung Tsai
Journal:  Biol Rev Camb Philos Soc       Date:  2014-06-11

Review 4.  From protein structure to function via single crystal optical spectroscopy.

Authors:  Luca Ronda; Stefano Bruno; Stefano Bettati; Paola Storici; Andrea Mozzarelli
Journal:  Front Mol Biosci       Date:  2015-04-28

Review 5.  Information flow and protein dynamics: the interplay between nuclear magnetic resonance spectroscopy and molecular dynamics simulations.

Authors:  Nina Pastor; Carlos Amero
Journal:  Front Plant Sci       Date:  2015-05-05       Impact factor: 5.753

Review 6.  Principles of allosteric interactions in cell signaling.

Authors:  Ruth Nussinov; Chung-Jung Tsai; Jin Liu
Journal:  J Am Chem Soc       Date:  2014-12-15       Impact factor: 15.419

Review 7.  The structural basis for cancer treatment decisions.

Authors:  Ruth Nussinov; Hyunbum Jang; Chung-Jung Tsai
Journal:  Oncotarget       Date:  2014-09-15

Review 8.  Protein ensembles link genotype to phenotype.

Authors:  Ruth Nussinov; Chung-Jung Tsai; Hyunbum Jang
Journal:  PLoS Comput Biol       Date:  2019-06-20       Impact factor: 4.475

Review 9.  TRAF3 signaling: Competitive binding and evolvability of adaptive viral molecular mimicry.

Authors:  Emine Guven-Maiorov; Ozlem Keskin; Attila Gursoy; Carter VanWaes; Zhong Chen; Chung-Jung Tsai; Ruth Nussinov
Journal:  Biochim Biophys Acta       Date:  2016-05-18

Review 10.  Mechanism of activation and the rewired network: New drug design concepts.

Authors:  Ruth Nussinov; Mingzhen Zhang; Ryan Maloney; Chung-Jung Tsai; Bengi Ruken Yavuz; Nurcan Tuncbag; Hyunbum Jang
Journal:  Med Res Rev       Date:  2021-10-25       Impact factor: 12.388

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