Prediction of the Tertiary Structure and the Dimerization Interface of FNR Protein in Klebsiella pneumoniae

2014 ◽  
Vol 936 ◽  
pp. 795-800
Author(s):  
Qing Rui Zhang ◽  
Xia Li
Keyword(s):  
Klebsiella Pneumoniae ◽  
Binding Sites ◽  
Tertiary Structure ◽  
Homology Modelling ◽  
Support Vector ◽  
Vector Machines ◽  
Fnr Protein ◽  
Dimerization Interface ◽  
Dynamics Simulations ◽  
Aerobic And Anaerobic

FNR (fumarate nitrate reduction regulator) is an important oxygen regulation protein, which plays a major role in altering gene expression between aerobic and anaerobic conditions. In this study, the tertiary structure of FNR protein in Klebsiella pneumoniae was established using homology modelling. The model was modified and optimized using molecular mechanics and molecular dynamics simulations. In addition, Support Vector Machines (SVMs) was applied to predict the possible binding sites patches of FNR. The residues conservations were further analyzed and it was found that the Asn138-Ser162 region of FNR protein was the putative dimerization interface.

scholarly journals Predicting RNA-binding sites of proteins using support vector machines and evolutionary information

2008 ◽  
Vol 9 (Suppl 12) ◽  
pp. S6 ◽  
Author(s):  
Cheng-Wei Cheng ◽  
Emily Su ◽  
Jenn-Kang Hwang ◽  
Ting-Yi Sung ◽  
Wen-Lian Hsu
Keyword(s):  
Support Vector Machines ◽  
Binding Sites ◽  
Rna Binding ◽  
Evolutionary Information ◽  
Support Vector ◽  
Vector Machines ◽  
Rna Binding Sites

scholarly journals Whole Genome Sequence Analysis and Homology Modelling of a 3C Like Peptidase and a Non-Structural Protein 3 of the SARS-CoV-2 Shows Protein Ligand Interaction with an Aza-Peptide and a Noncovalent Lead Inhibitor with Possible Antiviral Properties

2020 ◽  
Author(s):  
Arun Shanker ◽  
Divya Bhanu ◽  
Anjani Alluri
Keyword(s):  
Amino Acids ◽  
Binding Sites ◽  
Tertiary Structure ◽  
Vaccine Development ◽  
Homology Modelling ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Structural Protein ◽  
Ligand Interaction ◽  
Percent Identity

<p></p><p>The family of viruses belonging to Coronaviridae mainly consist of virulent pathogens that have a zoonotic property, Severe Acute Respiratory Syndrome (SARS-CoV) and Middle East Respiratory Syndrome (MERS-CoV) of this family have emerged before and now the SARS-CoV-2 has emerged in China. Characterization of spike glycoproteins, polyproteins and other viral proteins from viruses are important for vaccine development. Homology modelling of these proteins with known templates offers the opportunity to discover ligand binding sites and explore the possible antiviral properties of these protein ligand complexes. Any information emerging from these protein models can be used for vaccine development. In this study we did a complete bioinformatic analysis, sequence alignment, comparison of multiple sequences and homology modelling of the <a>SARS-CoV-2 </a>whole genome sequences, the spike protein and the polyproteins for homology with known proteins, we also analysed receptor binding sites in these models for possible binding with ligands that exhibit antiviral properties. Our results showed that the tertiary structure of the polyprotein isolate SARS-CoV-2_HKU-SZ-001_2020 had 98.94 percent identity with SARS-Coronavirus NSP12 bound to NSP7 and NSP8 co-factors. <a>Our results indicate that a part of the viral genome </a><a>(residues 3268 -3573 in Frame 2 with 306 amino acids) of the SARS-CoV-2 virus isolate Wuhan-Hu-1 (Genbank Accession Number MN908947.3) </a>when modelled with template 2a5i of the PDB database had 96 percent identity with a 3C like peptidase of SARS-CoV which has ability to bind with Aza-Peptide Epoxide (APE) which is known for irreversible inhibition of SARS-CoV main peptidase. The part of the genome (residues 1568-1882 in Frame 2 with 315 amino acids) when modelled with template 3e9s of the PDB database had 82 percent identity with a papain-like protease/deubiquitinase which when complexed with ligand GRL0617 acts as inhibitor which can block SARS-CoV replication. The regions studied was conserved in more than 90 genomes of SARS-CoV-2. It is possible that these viral inhibiters can be used for vaccine development for the SARS-CoV-2.</p><p></p><p></p>

scholarly journals Analysis of Whole Genome Sequences and Homology Modelling of a 3C Like Peptidase and a Non-Structural Protein of the Novel Coronavirus COVID-19 Shows Protein Ligand Interaction with an Aza-Peptide and a Noncovalent Lead Inhibitor with Possible Antiviral Properties

2020 ◽  
Author(s):  
Arun Shanker ◽  
Divya Bhanu ◽  
Anajani Alluri
Keyword(s):  
Binding Sites ◽  
Tertiary Structure ◽  
Vaccine Development ◽  
Homology Modelling ◽  
Whole Genome ◽  
The Novel ◽  
Structural Protein ◽  
Genome Sequences ◽  
Ligand Interaction ◽  
Percent Identity

The family of viruses belonging to Coronaviridae mainly consist of virulent pathogens that have a zoonotic property, Severe Respiratory Syndrome (SARS-CoV) and Middle East Respiratory Syndrome (MERS-CoV) of this family have emerged before and now the Novel COVID-19 has emerged in China. Characterization of spike glycoproteins, polyproteins and other viral proteins from viruses are important for vaccine development. Homology modelling of these proteins with known templates offers the opportunity to discover ligand binding sites and possible antiviral properties of these protein ligand complexes. Any information emerging from these protein models can be used for vaccine development. In this study we did a complete bioinformatic analysis, sequence alignment, comparison of multiple sequences and homology modelling of the Novel COVID-19 whole genome sequences, the spike protein and the polyproteins for homology with known proteins, we also analysed receptor binding sites in these models for possible vaccine development. Our results showed that the tertiary structure of the polyprotein isolate COVID-19 _HKU-SZ-001_2020 had 98.94 percent identity with SARS-Coronavirus NSP12 bound to NSP7 and NSP8 co-factors. Our results indicate that a part of the viral genome (residues 254 to 13480 in Frame 2 with 4409 amino acids) of the Novel COVID-19 virus isolate Wuhan-Hu-1 (Genbank Accession Number MN908947.3) when modelled with template 2a5i of the PDB database had 96 percent identity with a 3C like peptidase of SARS-CoV which has ability to bind with Aza-Peptide Epoxide (APE) which is known for irreversible inhibition of SARS-CoV main peptidase. The part of the genome when modelled with template 3e9s of the PDB database had 82 percent identity with a papain-like protease/deubiquitinase which when complexed with ligand GRL0617 acts as inhibitor which can block SARS-CoV replication. It is possible that these viral inhibiters can be used for vaccine development for the Novel COVID-19.

Boosting Granular Support Vector Machines for the Accurate Prediction of Protein-Nucleotide Binding Sites

2019 ◽  
Vol 22 (7) ◽  
pp. 455-469
Author(s):  
Yi-Heng Zhu ◽  
Jun Hu ◽  
Yong Qi ◽  
Xiao-Ning Song ◽  
Dong-Jun Yu
Keyword(s):  
Machine Learning ◽  
Support Vector Machines ◽  
Ligand Binding ◽  
Binding Sites ◽  
Negative Impact ◽  
Class Imbalance ◽  
Nucleotide Binding ◽  
Support Vector ◽  
Vector Machines ◽  
Ligand Binding Sites

Aim and Objective: The accurate identification of protein-ligand binding sites helps elucidate protein function and facilitate the design of new drugs. Machine-learning-based methods have been widely used for the prediction of protein-ligand binding sites. Nevertheless, the severe class imbalance phenomenon, where the number of nonbinding (majority) residues is far greater than that of binding (minority) residues, has a negative impact on the performance of such machine-learning-based predictors. Materials and Methods: In this study, we aim to relieve the negative impact of class imbalance by Boosting Multiple Granular Support Vector Machines (BGSVM). In BGSVM, each base SVM is trained on a granular training subset consisting of all minority samples and some reasonably selected majority samples. The efficacy of BGSVM for dealing with class imbalance was validated by benchmarking it with several typical imbalance learning algorithms. We further implemented a protein-nucleotide binding site predictor, called BGSVM-NUC, with the BGSVM algorithm. Results: Rigorous cross-validation and independent validation tests for five types of proteinnucleotide interactions demonstrated that the proposed BGSVM-NUC achieves promising prediction performance and outperforms several popular sequence-based protein-nucleotide binding site predictors. The BGSVM-NUC web server is freely available at http://csbio.njust.edu.cn/bioinf/BGSVM-NUC/ for academic use.

scholarly journals Whole Genome Sequence Analysis and Homology Modelling of a 3C Like Peptidase and a Non-Structural Protein 3 of the SARS-CoV-2 Shows Protein Ligand Interaction with an Aza-Peptide and a Noncovalent Lead Inhibitor with Possible Antiviral Properties

2020 ◽  
Author(s):  
Arun Shanker ◽  
Divya Bhanu ◽  
Anjani Alluri
Keyword(s):  
Amino Acids ◽  
Binding Sites ◽  
Tertiary Structure ◽  
Vaccine Development ◽  
Homology Modelling ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Structural Protein ◽  
Ligand Interaction ◽  
Percent Identity

<p></p><p>The family of viruses belonging to Coronaviridae mainly consist of virulent pathogens that have a zoonotic property, Severe Acute Respiratory Syndrome (SARS-CoV) and Middle East Respiratory Syndrome (MERS-CoV) of this family have emerged before and now the SARS-CoV-2 has emerged in China. Characterization of spike glycoproteins, polyproteins and other viral proteins from viruses are important for vaccine development. Homology modelling of these proteins with known templates offers the opportunity to discover ligand binding sites and explore the possible antiviral properties of these protein ligand complexes. Any information emerging from these protein models can be used for vaccine development. In this study we did a complete bioinformatic analysis, sequence alignment, comparison of multiple sequences and homology modelling of the <a>SARS-CoV-2 </a>whole genome sequences, the spike protein and the polyproteins for homology with known proteins, we also analysed receptor binding sites in these models for possible binding with ligands that exhibit antiviral properties. Our results showed that the tertiary structure of the polyprotein isolate SARS-CoV-2_HKU-SZ-001_2020 had 98.94 percent identity with SARS-Coronavirus NSP12 bound to NSP7 and NSP8 co-factors. <a>Our results indicate that a part of the viral genome </a><a>(residues 3268 -3573 in Frame 2 with 306 amino acids) of the SARS-CoV-2 virus isolate Wuhan-Hu-1 (Genbank Accession Number MN908947.3) </a>when modelled with template 2a5i of the PDB database had 96 percent identity with a 3C like peptidase of SARS-CoV which has ability to bind with Aza-Peptide Epoxide (APE) which is known for irreversible inhibition of SARS-CoV main peptidase. The part of the genome (residues 1568-1882 in Frame 2 with 315 amino acids) when modelled with template 3e9s of the PDB database had 82 percent identity with a papain-like protease/deubiquitinase which when complexed with ligand GRL0617 acts as inhibitor which can block SARS-CoV replication. The regions studied was conserved in more than 90 genomes of SARS-CoV-2. It is possible that these viral inhibiters can be used for vaccine development for the SARS-CoV-2.</p><p></p><p></p>

scholarly journals Whole Genome Sequences Analysis and Homology Modelling of a 3C Like Peptidase and a Non-Structural Protein 3 of the SARS-CoV-2 Shows Protein Ligand Interaction with an Aza-Peptide and a Noncovalent Lead Inhibitor with Possible Antiviral Properties

2020 ◽  
Author(s):  
Arun Shanker ◽  
Anjani Alluri ◽  
Divya Bhanu
Keyword(s):  
Amino Acids ◽  
Binding Sites ◽  
Tertiary Structure ◽  
Vaccine Development ◽  
Homology Modelling ◽  
Whole Genome ◽  
Structural Protein ◽  
Genome Sequences ◽  
Ligand Interaction ◽  
Percent Identity

<p></p><p>The family of viruses belonging to Coronaviridae mainly consist of virulent pathogens that have a zoonotic property, Severe Respiratory Syndrome (SARS-CoV) and Middle East Respiratory Syndrome (MERS-CoV) of this family have emerged before and now the SARS-CoV-2 has emerged in China. Characterization of spike glycoproteins, polyproteins and other viral proteins from viruses are important for vaccine development. Homology modelling of these proteins with known templates offers the opportunity to discover ligand binding sites and explore the possible antiviral properties of these protein ligand complexes. Any information emerging from these protein models can be used for vaccine development. In this study we did a complete bioinformatic analysis, sequence alignment, comparison of multiple sequences and homology modelling of the <a>SARS-CoV-2 </a>whole genome sequences, the spike protein and the polyproteins for homology with known proteins, we also analysed receptor binding sites in these models for possible binding with ligands that exhibit antiviral properties. Our results showed that the tertiary structure of the polyprotein isolate SARS-CoV-2_HKU-SZ-001_2020 had 98.94 percent identity with SARS-Coronavirus NSP12 bound to NSP7 and NSP8 co-factors. <a>Our results indicate that a part of the viral genome </a><a>(residues 3268 -3573 in Frame 2 with 306 amino acids) of the SARS-CoV-2 virus isolate Wuhan-Hu-1 (Genbank Accession Number MN908947.3) </a>when modelled with template 2a5i of the PDB database had 96 percent identity with a 3C like peptidase of SARS-CoV which has ability to bind with Aza-Peptide Epoxide (APE) which is known for irreversible inhibition of SARS-CoV main peptidase. The part of the genome (residues 1568-1882 in Frame 2 with 315 amino acids) when modelled with template 3e9s of the PDB database had 82 percent identity with a papain-like protease/deubiquitinase which when complexed with ligand GRL0617 acts as inhibitor which can block SARS-CoV replication. It is possible that these viral inhibiters can be used for vaccine development for the SARS-CoV-2.</p><p></p><p></p>

scholarly journals Analysis of Whole Genome Sequences and Homology Modelling of a 3C Like Peptidase and a Non-Structural Protein of the Novel Coronavirus COVID-19 Shows Protein Ligand Interaction with an Aza-Peptide and a Noncovalent Lead Inhibitor with Possible Antiviral Properties

2020 ◽  
Author(s):  
Arun Shanker ◽  
Divya Bhanu ◽  
Anajani Alluri
Keyword(s):  
Binding Sites ◽  
Tertiary Structure ◽  
Vaccine Development ◽  
Homology Modelling ◽  
Whole Genome ◽  
The Novel ◽  
Structural Protein ◽  
Genome Sequences ◽  
Ligand Interaction ◽  
Percent Identity

<p></p><p>The family of viruses belonging to Coronaviridae mainly consist of virulent pathogens that have a zoonotic property, Severe Respiratory Syndrome (SARS-CoV) and Middle East Respiratory Syndrome (MERS-CoV) of this family have emerged before and now the Novel COVID-19 has emerged in China. Characterization of spike glycoproteins, polyproteins and other viral proteins from viruses are important for vaccine development. Homology modelling of these proteins with known templates offers the opportunity to discover ligand binding sites and possible antiviral properties of these protein ligand complexes. Any information emerging from these protein models can be used for vaccine development. In this study we did a complete bioinformatic analysis, sequence alignment, comparison of multiple sequences and homology modelling of the Novel COVID-19 whole genome sequences, the spike protein and the polyproteins for homology with known proteins, we also analysed receptor binding sites in these models for possible vaccine development. Our results showed that the tertiary structure of the polyprotein isolate COVID-19 _HKU-SZ-001_2020 had 98.94 percent identity with SARS-Coronavirus NSP12 bound to NSP7 and NSP8 co-factors. Our results indicate that a part of the viral genome (residues 254 to 13480 in Frame 2 with 4409 amino acids) of the Novel COVID-19 virus isolate Wuhan-Hu-1 (Genbank Accession Number MN908947.3) when modelled with template 2a5i of the PDB database had 96 percent identity with a 3C like peptidase of SARS-CoV which has ability to bind with Aza-Peptide Epoxide (APE) which is known for irreversible inhibition of SARS-CoV main peptidase. The part of the genome when modelled with template 3e9s of the PDB database had 82 percent identity with a papain-like protease/deubiquitinase which when complexed with ligand GRL0617 acts as inhibitor which can block SARS-CoV replication. It is possible that these viral inhibiters can be used for vaccine development for the Novel COVID-19.</p><p></p><p></p>

scholarly journals Whole Genome Sequence Analysis and Homology Modelling of a 3C Like Peptidase and a Non-Structural Protein 3 of the SARS-CoV-2 Shows Protein Ligand Interaction with an Aza-Peptide and a Noncovalent Lead Inhibitor with Possible Antiviral Properties

2020 ◽  
Author(s):  
Arun Shanker ◽  
Divya Bhanu ◽  
Anjani Alluri ◽  
Samriddhi Gupta
Keyword(s):  
Amino Acids ◽  
Binding Sites ◽  
Tertiary Structure ◽  
Vaccine Development ◽  
Homology Modelling ◽  
Whole Genome ◽  
Autodock Vina ◽  
Ligand Interaction ◽  
Percent Identity ◽  
Protein Model

<p></p><p>The family of viruses belonging to Coronaviridae mainly consist of virulent pathogens that have a zoonotic property, Severe Acute Respiratory Syndrome (SARS-CoV) and Middle East Respiratory Syndrome (MERS-CoV) of this family have emerged before and now the SARS-CoV-2 has emerged in China. Characterization of spike glycoproteins, polyproteins and other viral proteins from viruses are important for vaccine development. Homology modelling of these proteins with known templates offers the opportunity to discover ligand binding sites and explore the possible antiviral properties of these protein ligand complexes. In this study we did a complete bioinformatic analysis, sequence alignment, comparison of multiple sequences and homology modelling of the <a>SARS-CoV-2 </a>whole genome sequences, the spike protein and the polyproteins for homology with known proteins, we also analysed receptor binding sites in these models for possible binding with ligands that exhibit antiviral properties. Our results showed that the tertiary structure of the polyprotein isolate SARS-CoV-2_HKU-SZ-001_2020 had 98.94 percent identity with SARS-Coronavirus NSP12 bound to NSP7 and NSP8 co-factors. <a>Our results indicate that a part of the viral genome </a><a>(residues 3268 -3573 in Frame 2 with 306 amino acids) of the SARS-CoV-2 virus isolate Wuhan-Hu-1 (Genbank Accession Number MN908947.3) </a>when modelled with template 2a5i of the PDB database had 96 percent identity with a 3C like peptidase of SARS-CoV which has ability to bind with Aza-Peptide Epoxide (APE) which is known for irreversible inhibition of SARS-CoV main peptidase. Docking profile with 9 different conformations of the ligand with the protein model using Autodock Vina showed an affinity of -7.1 Kcal/mol. This region was conserved in 831 genomes of SARS-CoV-2. The part of the genome (residues 1568-1882 in Frame 2 with 315 amino acids) when modelled with template 3e9s of the PDB database had 82 percent identity with a papain-like protease/deubiquitinase which when complexed with ligand GRL0617 acts as inhibitor which can block SARS-CoV replication. Docking profile with 9 different conformation of the ligand with the protein model using Autodock Vina showed an affinity of -7.9 Kcal/mol. This region was conserved in 831 genomes of SARS-CoV-2. It is possible that these ligands can be antivirals of SARS-CoV-2. </p><p></p><p></p>

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