scholarly journals Protein secondary structure determines the temporal relationship between folding and disulfide formation

2019 ◽  
Author(s):  
Philip J Robinson ◽  
Shingo Kanemura ◽  
Xiaofei Cao ◽  
Neil J Bulleid

AbstractHow and when disulfides form in proteins during their folding is a fundamental question in cell biology. Two models describe the relationship between disulfide formation and folding, the folded precursor model, in which formation of nascent structure occurs prior to the disulfides and the quasi-stochastic model where disulfides form prior to complete domain folding. Here we investigate oxidative folding within a cellular milieu of three structurally diverse substrates in order to understand the folding mechanisms required to achieve correct cysteine coupling. We use a eukaryotic translation system in which we can manipulate the redox conditions and produce stalled translation intermediates representative of different stages of translocation. We identify different disulfide bonded isomers by non-reducing SDS-PAGE. Using this approach, we determined whether each substrate followed a folding driven or disulfide driven mechanism. Our results demonstrate that the folding model is substrate-dependent with disulfides forming prior to complete domain folding in a domain lacking secondary structure, whereas disulfide formation was absent at this stage in proteins with defined structural elements. In addition, we demonstrate the presence and rearrangement of non-native disulfides specifically in substrates following the quasi-stochastic model. These findings demonstrate why non-native disulfides are prevented from forming in proteins with well-defined secondary structure.Significance statementA third of human proteins contain structural elements called disulfide bonds that are often crucial for stability and function. Disulfides form between cysteines in the specialised environment of the endoplasmic reticulum (ER), during the complex process of protein folding. Many proteins contain multiple cysteines that can potentially form correct or incorrect cysteine pairings. To investigate how correct disulfide pairs are formed in a biological context, we developed an experimental approach to assess disulfide formation and rearrangement as proteins enter the ER. We found that a protein domain with atypical secondary structure undergoes disulfide orchestrated folding as it enters the ER and is prone to incorrect disulfide formation. In contrast, proteins with defined secondary structure form folding dependent, native disulfides. These findings show how different mechanisms of disulfide formation can be rationalised from structural features of the folding domains.

2020 ◽  
Vol 295 (8) ◽  
pp. 2438-2448 ◽  
Author(s):  
Philip J. Robinson ◽  
Shingo Kanemura ◽  
Xiaofei Cao ◽  
Neil J. Bulleid

How and when disulfide bonds form in proteins relative to the stage of their folding is a fundamental question in cell biology. Two models describe this relationship: the folded precursor model, in which a nascent structure forms before disulfides do, and the quasi-stochastic model, where disulfides form prior to folding. Here we investigated oxidative folding of three structurally diverse substrates, β2-microglobulin, prolactin, and the disintegrin domain of ADAM metallopeptidase domain 10 (ADAM10), to understand how these mechanisms apply in a cellular context. We used a eukaryotic cell-free translation system in which we could identify disulfide isomers in stalled translation intermediates to characterize the timing of disulfide formation relative to translocation into the endoplasmic reticulum and the presence of non-native disulfides. Our results indicate that in a domain lacking secondary structure, disulfides form before conformational folding through a process prone to nonnative disulfide formation, whereas in proteins with defined secondary structure, native disulfide formation occurs after partial folding. These findings reveal that the nascent protein structure promotes correct disulfide formation during cotranslational folding.


2019 ◽  
Vol 16 (2) ◽  
pp. 159-172 ◽  
Author(s):  
Elaheh Kashani-Amin ◽  
Ozra Tabatabaei-Malazy ◽  
Amirhossein Sakhteman ◽  
Bagher Larijani ◽  
Azadeh Ebrahim-Habibi

Background: Prediction of proteins’ secondary structure is one of the major steps in the generation of homology models. These models provide structural information which is used to design suitable ligands for potential medicinal targets. However, selecting a proper tool between multiple Secondary Structure Prediction (SSP) options is challenging. The current study is an insight into currently favored methods and tools, within various contexts. Objective: A systematic review was performed for a comprehensive access to recent (2013-2016) studies which used or recommended protein SSP tools. Methods: Three databases, Web of Science, PubMed and Scopus were systematically searched and 99 out of the 209 studies were finally found eligible to extract data. Results: Four categories of applications for 59 retrieved SSP tools were: (I) prediction of structural features of a given sequence, (II) evaluation of a method, (III) providing input for a new SSP method and (IV) integrating an SSP tool as a component for a program. PSIPRED was found to be the most popular tool in all four categories. JPred and tools utilizing PHD (Profile network from HeiDelberg) method occupied second and third places of popularity in categories I and II. JPred was only found in the two first categories, while PHD was present in three fields. Conclusion: This study provides a comprehensive insight into the recent usage of SSP tools which could be helpful for selecting a proper tool.


2019 ◽  
Vol 16 (3) ◽  
pp. 246-253
Author(s):  
Anindya Sundar Panja ◽  
Bidyut Bandopadhyay ◽  
Akash Nag ◽  
Smarajit Maiti

Background: Our present investigation was conducted to explore the computational algorithm for the protein secondary structure prediction as per the property of evolutionary transient and large number (each 50) of homologous mesophilic-thermophilic proteins. </P><P> Objectives: These mesophilic-thermophilic proteins were used for numerical measurement of helix-sheetcoil and turn tendency for which each amino-acid residue is screened to build up the propensity-table. Methods: In the current study, two different propensity windows have been introduced that allowed predicting the secondary structure of protein more than 80% accuracy. Results: Using this propensity matrix and dynamic algorithm-based programme, a significant and decisive outcome in the determination of protein (both thermophilic and mesophilic) secondary structure was noticed over the previous algorithm based programme. It was demonstrated after comparison with other standard methods including DSSP adopted by PDB with the help of multiple comparisons ANOVA and Dunnett’s t-test. Conclusion: The PSSD is of great importance in the prediction of structural features of any unknown, unresolved proteins. It is also useful in the studies of proteins structure-function relationship.


2021 ◽  
Author(s):  
Huaying Zhao ◽  
Di Wu ◽  
Ai Nguyen ◽  
Yan Li ◽  
Regina C. Adão ◽  
...  

SummaryNucleocapsid (N) protein of the SARS-CoV-2 virus packages the viral genome into well-defined ribonucleoprotein particles, but the molecular pathway is still unclear. N-protein is dimeric and consists of two folded domains with nucleic acid (NA) binding sites, surrounded by intrinsically disordered regions that promote liquid-liquid phase separation. Here we use biophysical tools to study N-protein interactions with oligonucleotides of different length, examining the size, composition, secondary structure, and energetics of the resulting states. We observe formation of supramolecular clusters or nuclei preceding growth into phase-separated droplets. Short hexanucleotide NA forms compact 2:2 N-protein/NA complexes with reduced disorder. Longer oligonucleotides expose additional N-protein interactions and multi-valent protein-NA interactions, which generate higher-order mixed oligomers and simultaneously promote growth of droplets. Phase separation is accompanied by a significant increase in protein secondary structure, different from that caused by initial NA binding, which may contribute to the assembly of ribonucleoprotein particles within molecular condensates.


2020 ◽  
Author(s):  
Gregor Urban ◽  
Mirko Torrisi ◽  
Christophe N. Magnan ◽  
Gianluca Pollastri ◽  
Pierre Baldi

AbstractThe use of evolutionary profiles to predict protein secondary structure, as well as other protein structural features, has been standard practice since the 1990s. Using profiles in the input of such predictors, in place or in addition to the sequence itself, leads to significantly more accurate predictors. While profiles can enhance structural signals, their role remains somewhat surprising as proteins do not use profiles when folding in vivo. Furthermore, the same sequence-based redundancy reduction protocols initially derived to train and evaluate sequence-based predictors, have been applied to train and evaluate profile-based predictors. This can lead to unfair comparisons since profile may facilitate the bleeding of information between training and test sets. Here we use the extensively studied problem of secondary structure prediction to better evaluate the role of profiles and show that: (1) high levels of profile similarity between training and test proteins are observed when using standard sequence-based redundancy protocols; (2) the gain in accuracy for profile-based predictors, over sequence-based predictors, strongly relies on these high levels of profile similarity between training and test proteins; and (3) the overall accuracy of a profile-based predictor on a given protein dataset provides a biased measure when trying to estimate the actual accuracy of the predictor, or when comparing it to other predictors. We show, however, that this bias can be avoided by implementing a new protocol (EVALpro) which evaluates the accuracy of profile-based predictors as a function of the profile similarity between training and test proteins. Such a protocol not only allows for a fair comparison of the predictors on equally hard or easy examples, but also completely removes the need for selecting arbitrary similarity cutoffs when selecting test proteins. The EVALpro program is available for download from the SCRATCH suite (http://scratch.proteomics.ics.uci.edu).


2020 ◽  
Vol 8 (1) ◽  
pp. 78-83
Author(s):  
P. Agalya ◽  
◽  
V. Velusamy

a-helix, þ-sheet, þ-turns, and random coils are the three-dimensional local segments that constitute a protein secondary structure. Molecular vibrations of proteins are sensitive to structural organizations of peptide chains hence Fourier Transform infrared (FTIR) spectroscopy is one of the recognized techniques for the identification of protein secondary structures. However, the lower frequency region of FTIR especially the amide VI bands (in the region 590-490cm-1) is little studied for proteins. Further, the effect of sugar-free natura on ovalbumin stability is not yet studied to our knowledge. The present study examines the conformational changes in the secondary structure of ovalbumin (OVA) protein under the influence of pH variations (2, 5, 7, 9, and 12) and also cosolvent sugar-free Natura (SFN) inclusion. From the primary absorption spectra of the amide VI bands, the second derivative analysis is furnished to quantify the secondary structural elements of protein thereby conformational changes are analyzed. From obtained results, it is found that conformational changes occur between two major secondary structures of a-helix and þ-sheet of OVA due to variation of pH and inclusion of cosolvent. Also, the results confirm that the denaturation of OVA in the presence of SFN irrespective of pH.


Author(s):  
Nathan T. Ross ◽  
William P. Katt ◽  
Andrew D. Hamilton

Proteins modulate the majority of all biological functions and are primarily composed of highly organized secondary structural elements such as helices, turns and sheets. Many of these functions are affected by a small number of key protein–protein contacts, often involving one or more of these well-defined structural elements. Given the ubiquitous nature of these protein recognition domains, their mimicry by peptidic and non-peptidic scaffolds has become a major focus of contemporary research. This review examines several key advances in secondary structure mimicry over the past several years, particularly focusing upon scaffolds that show not only promising projection of functional groups, but also a proven effect in biological systems.


1991 ◽  
Vol 274 (1) ◽  
pp. 41-43 ◽  
Author(s):  
E A MacGregor ◽  
G M Ballance

Circular-dichroism spectra of a barley 1,3-beta-glucanase were analysed by two methods. The combined results predict 36-40% helix and 15-18% beta-structure in the protein. Prediction of secondary-structural features on the basis of amino acid sequence information yielded overall helix and beta-structure contents of 37% and 19% respectively. Comparison of the predicted structural elements along the barley 1,3-beta-glucanase with those of three related plant glucanases and a yeast glucanase suggest a close similarity in secondary structure among the five proteins. Consideration is given to the potential importance of certain amino acids which are conserved in these five glucanases.


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