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      Heterogeneity of Equilibrium Molten Globule State of Cytochrome c Induced by Weak Salt Denaturants under Physiological Condition

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          Abstract

          While many proteins are recognized to undergo folding via intermediate(s), the heterogeneity of equilibrium folding intermediate(s) along the folding pathway is less understood. In our present study, FTIR spectroscopy, far- and near-UV circular dichroism (CD), ANS and tryptophan fluorescence, near IR absorbance spectroscopy and dynamic light scattering (DLS) were used to study the structural and thermodynamic characteristics of the native (N), denatured (D) and intermediate state (X) of goat cytochorme c (cyt- c) induced by weak salt denaturants (LiBr, LiCl and LiClO 4) at pH 6.0 and 25°C. The LiBr-induced denaturation of cyt- c measured by Soret absorption (Δ ε 400) and CD ([ θ] 409), is a three-step process, N ↔ X ↔ D. It is observed that the X state obtained along the denaturation pathway of cyt- c possesses common structural and thermodynamic characteristics of the molten globule (MG) state. The MG state of cyt- c induced by LiBr is compared for its structural and thermodynamic parameters with those found in other solvent conditions such as LiCl, LiClO 4 and acidic pH. Our observations suggest: (1) that the LiBr-induced MG state of cyt- c retains the native Met80-Fe(III) axial bond and Trp59-propionate interactions; (2) that LiBr-induced MG state of cyt- c is more compact retaining the hydrophobic interactions in comparison to the MG states induced by LiCl, LiClO 4 and 0.5 M NaCl at pH 2.0; and (3) that there exists heterogeneity of equilibrium intermediates along the unfolding pathway of cyt- c as highly ordered (X1), classical (X2) and disordered (X3), i.e., D ↔ X3 ↔ X2 ↔ X1 ↔ N.

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          How to study proteins by circular dichroism.

          Circular dichroism (CD) is being increasingly recognised as a valuable technique for examining the structure of proteins in solution. However, the value of many studies using CD is compromised either by inappropriate experimental design or by lack of attention to key aspects of instrument calibration or sample characterisation. In this article, we summarise the basis of the CD approach and its application to the study of proteins, and then present clear guidelines on how reliable data can be obtained and analysed.
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            Flexible nets. The roles of intrinsic disorder in protein interaction networks.

            Proteins participate in complex sets of interactions that represent the mechanistic foundation for much of the physiology and function of the cell. These protein-protein interactions are organized into exquisitely complex networks. The architecture of protein-protein interaction networks was recently proposed to be scale-free, with most of the proteins having only one or two connections but with relatively fewer 'hubs' possessing tens, hundreds or more links. The high level of hub connectivity must somehow be reflected in protein structure. What structural quality of hub proteins enables them to interact with large numbers of diverse targets? One possibility would be to employ binding regions that have the ability to bind multiple, structurally diverse partners. This trait can be imparted by the incorporation of intrinsic disorder in one or both partners. To illustrate the value of such contributions, this review examines the roles of intrinsic disorder in protein network architecture. We show that there are three general ways that intrinsic disorder can contribute: First, intrinsic disorder can serve as the structural basis for hub protein promiscuity; secondly, intrinsically disordered proteins can bind to structured hub proteins; and thirdly, intrinsic disorder can provide flexible linkers between functional domains with the linkers enabling mechanisms that facilitate binding diversity. An important research direction will be to determine what fraction of protein-protein interaction in regulatory networks relies on intrinsic disorder.
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              Mechanisms of tryptophan fluorescence shifts in proteins.

              Tryptophan fluorescence wavelength is widely used as a tool to monitor changes in proteins and to make inferences regarding local structure and dynamics. We have predicted the fluorescence wavelengths of 19 tryptophans in 16 proteins, starting with crystal structures and using a hybrid quantum mechanical-classical molecular dynamics method with the assumption that only electrostatic interactions of the tryptophan ring electron density with the surrounding protein and solvent affect the transition energy. With only one adjustable parameter, the scaling of the quantum mechanical atomic charges as seen by the protein/solvent environment, the mean absolute deviation between predicted and observed fluorescence maximum wavelength is 6 nm. The modeling of electrostatic interactions, including hydration, in proteins is vital to understanding function and structure, and this study helps to assess the effectiveness of current electrostatic models.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                7 April 2015
                2015
                : 10
                : 4
                : e0120465
                Affiliations
                [1 ]Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi, 110025, India
                [2 ]Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran
                University of Pittsburgh School of Medicine, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: HR MKAK FA. Performed the experiments: HR MKAK MIH. Analyzed the data: HR MKAK FA AI AAMM FA. Contributed reagents/materials/analysis tools: HR AI. Wrote the paper: HR MKAK FA. Computational analysis: AI FA.

                [¤a]

                Current Address: Department of Biotechnology, Manipur University, Canchipur, Manipur, 795003, India

                [¤b]

                Current Address: School of Life Sciences, B.S. Abdur Rahman University, Vandalur, Chennai, 600048, India

                Article
                PONE-D-14-42826
                10.1371/journal.pone.0120465
                4388492
                25849212
                c24b0688-1c44-4a7c-9a34-a44f5718c73f
                Copyright @ 2015

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

                History
                : 30 September 2014
                : 22 January 2015
                Page count
                Figures: 4, Tables: 3, Pages: 19
                Funding
                This work was supported by grants from the Council of Scientific and Industrial Research (CSIR) and the Department of Science and Technology (DST) to FA. HR and MKAK are thankful to the University Grants Commission and CSIR for their fellowships, respectively. MIH is thankful to the DST for the award of the Young Scientist grant. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
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                All relevant data are within the paper and its Supporting Information files.

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