Computational Characterisation and Identification of Peptides for in silico Detection of Potentially Celiac-Toxic Proteins

2007 ◽  
Vol 13 (2) ◽  
pp. 125-133 ◽  
Author(s):  
M. Darewicz ◽  
J. Dziuba ◽  
P. Minkiewicz
Keyword(s):  
Celiac Disease ◽  
Amino Acid ◽  
In Silico ◽  
In Silico Analysis ◽  
Amino Acid Sequences ◽  
Random Coil ◽  
Sequence Motifs ◽  
Peptide Epitopes ◽  
High Degree ◽  
Toxic Peptides

This work reports on in silico analysis of celiac-toxic peptide occurrence in proteins. The toxic properties of celiac disease are linked to the presence of specific amino acid sequences and the properties of their environment. The analysed celiac-toxic peptides were found to be predominated by unordered structures of random coil and β-turns. Proline and glutamine-rich amino acid sequences from hydrophilic β-turns were exposed on the surface of the precursor proteins. The sequence motifs represented by gluten peptide epitopes or tetrapeptides with surroundings seem to represent an immunodominant structure. The application of MS BLAST software enabled identification of a few fragments with high degrees of identity to the toxic peptides in one protein sequence. Rich sources of celiac-disease-potentiating peptides were wheat gliadins, barley hordeins and rye secalins as well as low-molecular weight fractions of glutenin. In addition, amino acid sequences with a high degree of identity to the toxic peptides examined were detected in maize zein, oat avenin, protein of rice, yeast and chicken muscles, as well as β-casein and galanin.

In Silico Study of 1, 4 Alpha Glucan Branching Enzyme and Substrate Docking Studies

2020 ◽  
Vol 17 (1) ◽  
pp. 40-50
Author(s):  
Farzane Kargar ◽  
Amir Savardashtaki ◽  
Mojtaba Mortazavi ◽  
Masoud Torkzadeh Mahani ◽  
Ali Mohammad Amani ◽  
...  
Keyword(s):  
Phylogenetic Tree ◽  
In Silico ◽  
Alpha Helix ◽  
In Silico Analysis ◽  
Glycogen Storage ◽  
Docking Studies ◽  
Random Coil ◽  
Special Topic ◽  
Industrial Biotechnology ◽  
In Silico Study

Background: The 1,4-alpha-glucan branching protein (GlgB) plays an important role in the glycogen biosynthesis and the deficiency in this enzyme has resulted in Glycogen storage disease and accumulation of an amylopectin-like polysaccharide. Consequently, this enzyme was considered a special topic in clinical and biotechnological research. One of the newly introduced GlgB belongs to the Neisseria sp. HMSC071A01 (Ref.Seq. WP_049335546). For in silico analysis, the 3D molecular modeling of this enzyme was conducted in the I-TASSER web server. Methods: For a better evaluation, the important characteristics of this enzyme such as functional properties, metabolic pathway and activity were investigated in the TargetP software. Additionally, the phylogenetic tree and secondary structure of this enzyme were studied by Mafft and Prabi software, respectively. Finally, the binding site properties (the maltoheptaose as substrate) were studied using the AutoDock Vina. Results: By drawing the phylogenetic tree, the closest species were the taxonomic group of Betaproteobacteria. The results showed that the structure of this enzyme had 34.45% of the alpha helix and 45.45% of the random coil. Our analysis predicted that this enzyme has a potential signal peptide in the protein sequence. Conclusion: By these analyses, a new understanding was developed related to the sequence and structure of this enzyme. Our findings can further be used in some fields of clinical and industrial biotechnology.

scholarly journals Identification of a Novel Class of Membrane-Bound [NiFe]-Hydrogenases in Thermococcus onnurineus NA1 by In Silico Analysis

2010 ◽  
Vol 76 (18) ◽  
pp. 6286-6289 ◽  
Author(s):  
Jae Kyu Lim ◽  
Sung Gyun Kang ◽  
Alexander V. Lebedinsky ◽  
Jung-Hyun Lee ◽  
Hyun Sook Lee
Keyword(s):  
Gene Cluster ◽  
In Silico ◽  
In Silico Analysis ◽  
Sequence Motifs ◽  
Thermococcus Onnurineus Na1 ◽  
Hyperthermophilic Archaeon ◽  
Group 4 ◽  
Membrane Bound ◽  
Silico Analysis

ABSTRACT In silico analysis of group 4 [NiFe]-hydrogenases from a hyperthermophilic archaeon, Thermococcus onnurineus NA1, revealed a novel tripartite gene cluster consisting of dehydrogenase-hydrogenase-cation/proton antiporter subunits, which may be classified as the new subgroup 4b of [NiFe]-hydrogenases-based on sequence motifs.

scholarly journals The Bioactivity Prediction of Peptides from Tuna Skin Collagen Using Integrated Method Combining In Vitro and In Silico

Foods ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 2739
Author(s):  
Liza Devita ◽  
Hanifah Nuryani Lioe ◽  
Mala Nurilmala ◽  
Maggy T. Suhartono
Keyword(s):  
Antioxidant Activity ◽  
In Silico ◽  
Antioxidant Activities ◽  
In Silico Analysis ◽  
Weight Fraction ◽  
Amino Acid Sequences ◽  
Skin Collagen ◽  
Dpph Method ◽  
Peptide Fractions

The hydrolysates and peptide fractions of bigeye tuna (Thunnus obesus) skin collagen have been successfully studied. The hydrolysates (HPA, HPN, HPS, HBA, HBN, HBS) were the result of the hydrolysis of collagen using alcalase, neutrase, and savinase. The peptide fractions (PPA, PPN, PPS, PBA, PBN, PBS) were the fractions obtained following ultrafiltration of the hydrolysates. The antioxidant activities of the hydrolysates and peptide fractions were studied using the DPPH method. The effects of collagen types, enzymes, and molecular sizes on the antioxidant activities were analyzed using profile plots analysis. The amino acid sequences of the peptides in the fraction with the highest antioxidant activity were analyzed using LC-MS/MS. Finally, their bioactivity and characteristics were studied using in silico analysis. The hydrolysates and peptide fractions provided antioxidant activity (6.17–135.40 µmol AAE/g protein). The lower molecular weight fraction had higher antioxidant activity. Collagen from pepsin treatment produced higher activity than that of bromelain treatment. The fraction from collagen hydrolysates by savinase treatment had the highest activity compared to neutrase and alcalase treatments. The peptides in the PBN and PPS fractions of <3 kDa had antidiabetic, antihypertensive and antioxidant activities. In conclusion, they have the potential to be used in food and health applications.

scholarly journals Selection of sequence motifs and generative Hopfield-Potts models for protein families

2019 ◽  
Author(s):  
Kai Shimagaki ◽  
Martin Weigt
Keyword(s):  
Amino Acid ◽  
Ad Hoc ◽  
Three Dimensional ◽  
Generative Models ◽  
Amino Acid Sequences ◽  
Dimensional Structure ◽  
Sequence Motifs ◽  
Restricted Boltzmann Machines ◽  
Potts Models ◽  
Maximum Entropy Models

Statistical models for families of evolutionary related proteins have recently gained interest: in particular pairwise Potts models, as those inferred by the Direct-Coupling Analysis, have been able to extract information about the three-dimensional structure of folded proteins, and about the effect of amino-acid substitutions in proteins. These models are typically requested to reproduce the one- and two-point statistics of the amino-acid usage in a protein family, i.e. to capture the so-called residue conservation and covariation statistics of proteins of common evolutionary origin. Pairwise Potts models are the maximum-entropy models achieving this. While being successful, these models depend on huge numbers of ad hoc introduced parameters, which have to be estimated from finite amount of data and whose biophysical interpretation remains unclear. Here we propose an approach to parameter reduction, which is based on selecting collective sequence motifs. It naturally leads to the formulation of statistical sequence models in terms of Hopfield-Potts models. These models can be accurately inferred using a mapping to restricted Boltzmann machines and persistent contrastive divergence. We show that, when applied to protein data, even 20-40 patterns are sufficient to obtain statistically close-to-generative models. The Hopfield patterns form interpretable sequence motifs and may be used to clusterize amino-acid sequences into functional sub-families. However, the distributed collective nature of these motifs intrinsically limits the ability of Hopfield-Potts models in predicting contact maps, showing the necessity of developing models going beyond the Hopfield-Potts models discussed here.

scholarly journals Altered 3D Structure of Human Tryptophan Hydroxylase-2 Caused by Change in the amino acid 341: In Silico Analysis

2018 ◽  
Vol 35 (03) ◽  
pp. 198-202
Author(s):  
Juan Castaño Casas ◽  
Juan Barona ◽  
Flavio Betancourth ◽  
Doris Salazar
Keyword(s):  
Amino Acid ◽  
In Silico ◽  
Tryptophan Hydroxylase ◽  
In Silico Analysis ◽  
Structural Defects ◽  
Protein Chain ◽  
Functional Impairments ◽  
Tryptophan Hydroxylase 2 ◽  
Neuropsychiatric Diseases ◽  
Silico Analysis

Introduction Neuropsychiatric syndromes have an important connection with disorders in the regulation of serotonin, with human tryptophan hydroxylase-2 being one of the related biosynthetic enzymes of this neurotransmitter. Evidence-based genetic studies suggest a possible involvement of this enzyme in neuropsychiatric disorders caused by abnormalities in the synthesis and regulation of serotonin. Objective To analyze the structural effects of single nucleotide polymorphism (SNP) in the enzyme tryptophan hydroxylase-2 and the changes that lead to functional alterations. Materials and Methods In this study, we performed an in silico analysis of SNPs associated with abnormal folding of the tryptophan hydroxylase-2 protein. Different programs were used to identify amino acid changes evidencing pathogenic effects and possible functional impairments. Results A change in the amino acid 341 (lysine [L]for phenylalanine [F]) (L341F) of the protein chain affects the total enthalpy of the protein. The enthalpy turned positive due to the energy required for the amino acid to return to its original condition. The protein function is also affected negatively because of the altered structured. Conclusion The change in the L341F leads to serious structural defects in the tryptophan hydroxylase-2. Those defects can be further related with functional instability and associated to the etiology of neuropsychiatric diseases.

Carnivora: The Amino Acid Sequence of the Adult European Polecat (Mustela putorius, Mustelidae) Hemoglobins

1989 ◽  
Vol 44 (7) ◽  
pp. 817-824 ◽  
Author(s):  
Aftab Ahmed ◽  
Meeno Jahan ◽  
Gerhard Braunitzer ◽  
Helmut Pechlaner
Keyword(s):  
Amino Acid ◽  
Amino Acid Sequence ◽  
Gas Phase ◽  
Primary Structure ◽  
Amino Acid Sequences ◽  
Mustela Putorius ◽  
Globin Chains ◽  
The Family ◽  
High Degree ◽  
Β Chain

The complete amino acid sequences of the hemoglobins from the adult European polecat (Mustela putorius) are presented. The erythrocytes contain two hemoglobin components and three globin chains (α I, α II and β). The primary structure of globin chains and of the tryptic peptides determined in liquid- and gas-phase sequantors. Comparing the sequences of the globin chains of the polecat with that of human Hb-A, 17 (23.9%) substitutions were recognized in the α I, 16 (22.5%) in the α II and 14 (20.4%) in the β chain. A high degree of homology observed with other representatives of the family Mustelidae.

scholarly journals In silico analysis of virulence associated genes in genomes of Escherichia coli strains causing colibacillosis in poultry

2017 ◽  
Vol 61 (4) ◽  
pp. 421-426 ◽  
Author(s):  
Joanna Kołsut ◽  
Paulina Borówka ◽  
Błażej Marciniak ◽  
Ewelina Wójcik ◽  
Arkadiusz Wojtasik ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Amino Acid ◽  
Virulence Factors ◽  
De Novo ◽  
Protein Sequences ◽  
In Silico Analysis ◽  
Amino Acid Sequences ◽  
Common Disease ◽  
Bacterial Genomes ◽  
E Coli

AbstractIntroduction: Colibacillosis – the most common disease of poultry, is caused mainly by avian pathogenic Escherichia coli (APEC). However, thus far, no pattern to the molecular basis of the pathogenicity of these bacteria has been established beyond dispute. In this study, genomes of APEC were investigated to ascribe importance and explore the distribution of 16 genes recognised as their virulence factors.Material and Methods: A total of 14 pathogenic for poultry E. coli strains were isolated, and their DNA was sequenced, assembled de novo, and annotated. Amino acid sequences from these bacteria and an additional 16 freely available APEC amino acid sequences were analysed with the DIFFIND tool to define their virulence factors.Results: The DIFFIND tool enabled quick, reliable, and convenient assessment of the differences between compared amino acid sequences from bacterial genomes. The presence of 16 protein sequences indicated as pathogenicity factors in poultry resulted in the generation of a heatmap which categorises genomes in terms of the existence and similarity of the analysed protein sequences.Conclusion: The proposed method of detection of virulence factors using the capabilities of the DIFFIND tool may be useful in the analysis of similarities of E. coli and other sequences deriving from bacteria. Phylogenetic analysis resulted in reliable segregation of 30 APEC strains into five main clusters containing various virulence associated genes (VAGs).

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