Literature DB >> 26619349

Correlation Analysis of Trp-Cage Dynamics in Folded and Unfolded States.

Luigi L Palese1.   

Abstract

A fundamental and still debated problem is how folded structures of proteins are related to their unfolded state. Besides the classical view, in which a large number of conformations characterize the unfolded state while the folded one is dominated by a single structure, recently a reassessment of the denatured state has been suggested. A growing amount of evidence indicates that not only the folded but also the unfolded state is at least partially organized. Here, we try to answer the question of how different protein dynamics is in folded and unfolded states by performing all-atom molecular dynamics simulations on the model protein Trp-cage. Random matrix theory inspired analysis of the correlation matrices has been carried out. The spectra of these correlation matrices show that the low rank modes of Trp-cage dynamics are outside of the limit expected for a random system both in folded and in unfolded conditions. These findings shed light on the nature of the unfolded state of the proteins, suggesting that it is much less random than previously thought.

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Year:  2015        PMID: 26619349     DOI: 10.1021/acs.jpcb.5b09678

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  4 in total

1.  Temperature evolution of Trp-cage folding pathways: An analysis by dividing the probability flux field into stream tubes.

Authors:  Vladimir A Andryushchenko; Sergei F Chekmarev
Journal:  J Biol Phys       Date:  2017-10-05       Impact factor: 1.365

2.  Analysis of the conformations of the HIV-1 protease from a large crystallographic data set.

Authors:  Luigi Leonardo Palese
Journal:  Data Brief       Date:  2017-10-06

3.  Translational control mechanisms in cutaneous malignant melanoma: the role of eIF2α.

Authors:  Immacolata Maida; Paola Zanna; Stefania Guida; Anna Ferretta; Tiziana Cocco; Luigi Leonardo Palese; Paola Londei; Dario Benelli; Amalia Azzariti; Stefania Tommasi; Michele Guida; Giovanni Pellacani; Gabriella Guida
Journal:  J Transl Med       Date:  2019-01-11       Impact factor: 5.531

4.  A New Look at the Structures of Old Sepsis Actors by Exploratory Data Analysis Tools.

Authors:  Antonio Gnoni; Emanuele De Nitto; Salvatore Scacco; Luigi Santacroce; Luigi Leonardo Palese
Journal:  Antibiotics (Basel)       Date:  2019-11-14
  4 in total

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