SlideShare a Scribd company logo
Protein structure prediction
using bioinformatic tools
1
Okechukwu Francis
Programme: PhD Biotechnology
SCHOOL OF HEALTH SCIENCE AND TECHNOLOGY (SoHST)
What structure protein structure prediction?
Protein structure prediction refers to the process of predicting the
three-dimensional structure of a protein molecule based on its amino
acid sequence. Proteins are large biomolecules made up of chains of
amino acids that fold into unique three-dimensional shapes, which
determine their functions.
The process of predicting the structure of a protein typically involves
using computational methods to simulate the folding process of the
protein chain, and to predict the interactions between amino acids that
stabilize the final folded structure. These methods can be divided into
two main categories: template-based modelling and ab initio
modelling.
In template-based modelling, the structure of a protein is predicted
based on the known structure of a homologous protein with a similar
amino acid sequence. This method relies on the assumption that
proteins with similar sequences have similar structures.
In ab initio modelling, the structure of a protein is predicted
based on the first principles, without relying on the known
structure of any homologous proteins. This method involves
simulating the folding process of the protein from scratch,
using principles of physics and chemistry to predict the most
stable conformation of the protein.
Protein structure prediction is an important field of study
because it can help to elucidate the functions of proteins, and
can provide insights into the mechanisms of disease and drug
development. However, predicting protein structures is still a
challenging problem, and accurate predictions are not always
possible.
How to analyze protein primary and secondary structure using psi-pred
PSI-PRED is a widely used tool for predicting protein secondary structure from the primary amino acid sequence.
However, it does not analyze the primary structure itself.
To analyze the primary structure of a protein using PSI-PRED, you would first need to use another tool to obtain the
amino acid sequence of the protein of interest. Once you have the sequence, you can use PSI-PRED to predict the
secondary structure, which includes alpha helices, beta sheets, and coil regions.
The predicted secondary structure can then be used to help infer the tertiary structure of the protein.
Here are the basic steps to use PSI-PRED for secondary structure prediction:
1. Obtain the amino acid sequence of the protein of interest.
2. Go to the PSI-PRED website (http://bioinf.cs.ucl.ac.uk/psipred/) and click on the "Submit a Job" button.
3. Paste the amino acid sequence into the text box provided.
4. Choose the "PSI-PRED + PSIPRED-SS2" option for the prediction method.
5. Click the "Submit" button to initiate the prediction.
6. Wait for the prediction to finish, which may take several minutes to a few hours depending on the size of the protein.
7. Download the results, which will include a prediction of the secondary structure in the form of a prediction file.
Once you have the predicted secondary structure, you can use it to help predict the tertiary structure using tools such as
homology modelling or molecular dynamics simulations.
Homology modelling using Swiss model
Homology modelling is a computational method used to predict the three-dimensional structure of a protein based on
the known structure of a related protein. Swiss Model is a widely used tool for homology modelling.
Here are the basic steps to use Swiss Model for homology modelling:
1. Go to the Swiss Model website (https://swissmodel.expasy.org/) and click on the "Start Modeling" button.
2. Paste the amino acid sequence of the protein of interest into the text box provided.
3. Choose a suitable template structure for the homology modelling. Swiss Model provides several options for
selecting a template, including searching the Protein Data Bank (PDB) or using a custom template.
4. Click on the search template to access various templates on the database which would be generated automatically
by Swiss Model.
5. Review the alignment and make any necessary adjustments.
6. Submit the modelling job to Swiss Model.
7. Wait for the modelling to finish, which may take several minutes to a few hours depending on the size of the protein
and the complexity of the modelling.
8. Download the results, which will include the predicted three-dimensional structure of the protein in the form of a
PDB file.
Note: After obtaining the predicted structure, it is important to validate the quality of the model. This can be done
using tools such as PROCHECK or MolProbity, which assess the stereochemical quality of the model and compare it to
known protein structures. Further refinement of the model can also be performed using molecular dynamics simulations
or other methods.
Molecular visualization using jmol
Jmol is a free, open-source software program that is commonly used for molecular visualization and analysis. It
can be used to view and manipulate molecular structures, and to visualize properties such as electrostatic
potential, hydrogen bonding, and solvent accessibility.
Here are the basic steps to use Jmol for molecular visualization:
1. Obtain the molecular structure you wish to visualize in a format that Jmol can read, such as a PDB file.
2. Download and install Jmol on your computer from the Jmol website (http://jmol.sourceforge.net/).
3. Launch Jmol by double-clicking on the Jmol application icon.
4. In the Jmol window, go to the "File" menu and choose "Open".
5. Select the PDB file you wish to visualize and click "Open".
6. The molecule will be displayed in the Jmol window, and you can use the mouse to rotate, zoom, and
translate the view.
7. You can also use Jmol to visualize various molecular properties. For example, to display the electrostatic
potential of the molecule, go to the "Display" menu and choose "Electrostatic Potential". To display
hydrogen bonding, go to the "Display" menu and choose "Hydrogen Bonds".
8. You can also use Jmol to analyze the molecular structure. For example, you can measure distances between
atoms or calculate the surface area of the molecule.
9. When you are finished using Jmol, go to the "File" menu and choose "Exit" to close the program.
Jmol has many other features and capabilities beyond those listed here, so it is recommended to consult the
Jmol user manual or online documentation for more detailed instructions and examples.
Protein structure model evaluation using PROCHECK
PROCHECK is a software program used to evaluate the quality of protein structures. It
assesses the stereochemical quality of the model and compares it to known protein
structures to identify any potential errors or anomalies in the structure.
Here are the basic steps to use PROCHECK for protein structure model evaluation:
 Obtain the protein structure you wish to evaluate in a format that PROCHECK can
read, such as a PDB file.
 Download and install PROCHECK on your computer from the PROCHECK
website (https://www.ebi.ac.uk/thornton-srv/software/PROCHECK/).
 Launch PROCHECK by typing "procheck" at the command prompt or by double-
clicking on the PROCHECK application icon.
 In the PROCHECK window, go to the "File" menu and choose "Load Protein".
 Select the PDB file you wish to evaluate and click "Open".
 The PROCHECK analysis will begin automatically, and the results will be
displayed in the PROCHECK window.
 The PROCHECK results include several types of information, including the
Ramachandran plot, which shows the distribution of the backbone dihedral angles in the
protein structure. PROCHECK compares this distribution to a distribution derived from
high-resolution protein structures to identify any outliers or unusual conformations in the
protein structure. Other information provided by PROCHECK includes the quality factor
(Q-factor), which is a measure of the overall quality of the structure, and a summary of
potential errors or anomalies in the structure.
 Review the PROCHECK results and identify any potential errors or anomalies in the
protein structure. If necessary, refine the structure using additional methods such as
molecular dynamics simulations or energy minimization.
 When you are finished using PROCHECK, go to the "File" menu and choose "Exit" to
close the program.
 PROCHECK has many other features and capabilities beyond those listed here, so it is
recommended to consult the PROCHECK user manual or online documentation for more
detailed instructions and examples.
Protein structure prediction primary structure analysis.pptx

More Related Content

What's hot

Bioinformatics
BioinformaticsBioinformatics
Bioinformatics
seyed mohammad motevalli
 
Threading modeling methods
Threading modeling methodsThreading modeling methods
Threading modeling methods
ratanvishwas
 
Prosite
PrositeProsite
Modeller
ModellerModeller
Modeller
BioCode Ltd
 
Biological databases
Biological databasesBiological databases
Biological databases
SHRADHEYA GUPTA
 
ZINC database
ZINC databaseZINC database
ZINC database
Ankit Alankar
 
Biological Databases
Biological DatabasesBiological Databases
Biological Databases
Shweta Kagliwal
 
OMIM Database
OMIM DatabaseOMIM Database
Global analysis of protein
Global analysis of proteinGlobal analysis of protein
Global analysis of protein
KAUSHAL SAHU
 
Swiss pdb viewer
Swiss pdb viewerSwiss pdb viewer
Swiss pdb viewer
Vidya Kalaivani Rajkumar
 
protein microarray
protein microarray protein microarray
databases in bioinformatics
databases in bioinformaticsdatabases in bioinformatics
databases in bioinformatics
nadeem akhter
 
Proteomics
ProteomicsProteomics
Proteomics
Shikha Thakur
 
Swiss prot database
Swiss prot databaseSwiss prot database
Swiss prot database
sagrika chugh
 
Protein motif By KK Sahu Sir
Protein motif By KK Sahu SirProtein motif By KK Sahu Sir
Protein motif By KK Sahu Sir
KAUSHAL SAHU
 
Protein Structural predection
Protein Structural predectionProtein Structural predection
Protein Structural predection
Santu Chall
 
prediction methods for ORF
prediction methods for ORFprediction methods for ORF
prediction methods for ORF
karamveer prajapat
 
The uni prot knowledgebase
The uni prot knowledgebaseThe uni prot knowledgebase
The uni prot knowledgebase
Kew Sama
 
Protein docking
Protein dockingProtein docking
Protein docking
Senthil Natesan
 
Swiss PROT
Swiss PROT Swiss PROT

What's hot (20)

Bioinformatics
BioinformaticsBioinformatics
Bioinformatics
 
Threading modeling methods
Threading modeling methodsThreading modeling methods
Threading modeling methods
 
Prosite
PrositeProsite
Prosite
 
Modeller
ModellerModeller
Modeller
 
Biological databases
Biological databasesBiological databases
Biological databases
 
ZINC database
ZINC databaseZINC database
ZINC database
 
Biological Databases
Biological DatabasesBiological Databases
Biological Databases
 
OMIM Database
OMIM DatabaseOMIM Database
OMIM Database
 
Global analysis of protein
Global analysis of proteinGlobal analysis of protein
Global analysis of protein
 
Swiss pdb viewer
Swiss pdb viewerSwiss pdb viewer
Swiss pdb viewer
 
protein microarray
protein microarray protein microarray
protein microarray
 
databases in bioinformatics
databases in bioinformaticsdatabases in bioinformatics
databases in bioinformatics
 
Proteomics
ProteomicsProteomics
Proteomics
 
Swiss prot database
Swiss prot databaseSwiss prot database
Swiss prot database
 
Protein motif By KK Sahu Sir
Protein motif By KK Sahu SirProtein motif By KK Sahu Sir
Protein motif By KK Sahu Sir
 
Protein Structural predection
Protein Structural predectionProtein Structural predection
Protein Structural predection
 
prediction methods for ORF
prediction methods for ORFprediction methods for ORF
prediction methods for ORF
 
The uni prot knowledgebase
The uni prot knowledgebaseThe uni prot knowledgebase
The uni prot knowledgebase
 
Protein docking
Protein dockingProtein docking
Protein docking
 
Swiss PROT
Swiss PROT Swiss PROT
Swiss PROT
 

Similar to Protein structure prediction primary structure analysis.pptx

Protein structure determination of insulin of zebra fish (Danio rerio) by hom...
Protein structure determination of insulin of zebra fish (Danio rerio) by hom...Protein structure determination of insulin of zebra fish (Danio rerio) by hom...
Protein structure determination of insulin of zebra fish (Danio rerio) by hom...
IOSR Journals
 
H0563843
H0563843H0563843
H0563843
IOSR Journals
 
H0563843
H0563843H0563843
H0563843
IOSR Journals
 
Protein Analysis
Protein AnalysisProtein Analysis
Protein Analysis
Syed Lokman
 
protein design, principles and examples.pptx
protein design, principles and examples.pptxprotein design, principles and examples.pptx
protein design, principles and examples.pptx
GopiChand121
 
Session ii g2 lab modeling mmc
Session ii g2 lab modeling mmcSession ii g2 lab modeling mmc
Session ii g2 lab modeling mmc
USD Bioinformatics
 
Pharmacophore based ligand-designing_using_substructure_searching_to_explore_...
Pharmacophore based ligand-designing_using_substructure_searching_to_explore_...Pharmacophore based ligand-designing_using_substructure_searching_to_explore_...
Pharmacophore based ligand-designing_using_substructure_searching_to_explore_...
Prasanthperceptron
 
Protein stability manual
Protein stability manualProtein stability manual
Protein stability manual
Prasanthperceptron
 
1PhylogeneticAnalysisHomeworkassignmentThisa.docx
1PhylogeneticAnalysisHomeworkassignmentThisa.docx1PhylogeneticAnalysisHomeworkassignmentThisa.docx
1PhylogeneticAnalysisHomeworkassignmentThisa.docx
felicidaddinwoodie
 
ProCheck
ProCheckProCheck
ProCheck
BioCode Ltd
 
Session ii g2 overview metabolic network modeling mcc
Session ii g2 overview metabolic network modeling mccSession ii g2 overview metabolic network modeling mcc
Session ii g2 overview metabolic network modeling mcc
USD Bioinformatics
 
Generic approach for predicting unannotated protein pair function using protein
Generic approach for predicting unannotated protein pair function using proteinGeneric approach for predicting unannotated protein pair function using protein
Generic approach for predicting unannotated protein pair function using protein
IAEME Publication
 
demonstration lecture on Homology modeling
demonstration lecture on Homology modelingdemonstration lecture on Homology modeling
demonstration lecture on Homology modeling
Maharaj Vinayak Global University
 
protein data bank
protein data bankprotein data bank
protein data bank
Mahrosh Un Nisah
 
Class powerpoint.ppt
Class powerpoint.pptClass powerpoint.ppt
Class powerpoint.ppt
MaryamFazeli7
 
Molecular Structures 2009
Molecular Structures 2009Molecular Structures 2009
Molecular Structures 2009
lyonja
 
Protein structure 2
Protein structure 2Protein structure 2
Protein structure 2
Rainu Rajeev
 
Protein structure
Protein structureProtein structure
Protein structure
Pooja Pawar
 
Pham yang embl-ebi
Pham yang embl-ebiPham yang embl-ebi
Pham yang embl-ebi
Nate Wildes
 
Practical 9 protein structure and function (3)
Practical 9 protein structure and function  (3)Practical 9 protein structure and function  (3)
Practical 9 protein structure and function (3)
Osama Barayan
 

Similar to Protein structure prediction primary structure analysis.pptx (20)

Protein structure determination of insulin of zebra fish (Danio rerio) by hom...
Protein structure determination of insulin of zebra fish (Danio rerio) by hom...Protein structure determination of insulin of zebra fish (Danio rerio) by hom...
Protein structure determination of insulin of zebra fish (Danio rerio) by hom...
 
H0563843
H0563843H0563843
H0563843
 
H0563843
H0563843H0563843
H0563843
 
Protein Analysis
Protein AnalysisProtein Analysis
Protein Analysis
 
protein design, principles and examples.pptx
protein design, principles and examples.pptxprotein design, principles and examples.pptx
protein design, principles and examples.pptx
 
Session ii g2 lab modeling mmc
Session ii g2 lab modeling mmcSession ii g2 lab modeling mmc
Session ii g2 lab modeling mmc
 
Pharmacophore based ligand-designing_using_substructure_searching_to_explore_...
Pharmacophore based ligand-designing_using_substructure_searching_to_explore_...Pharmacophore based ligand-designing_using_substructure_searching_to_explore_...
Pharmacophore based ligand-designing_using_substructure_searching_to_explore_...
 
Protein stability manual
Protein stability manualProtein stability manual
Protein stability manual
 
1PhylogeneticAnalysisHomeworkassignmentThisa.docx
1PhylogeneticAnalysisHomeworkassignmentThisa.docx1PhylogeneticAnalysisHomeworkassignmentThisa.docx
1PhylogeneticAnalysisHomeworkassignmentThisa.docx
 
ProCheck
ProCheckProCheck
ProCheck
 
Session ii g2 overview metabolic network modeling mcc
Session ii g2 overview metabolic network modeling mccSession ii g2 overview metabolic network modeling mcc
Session ii g2 overview metabolic network modeling mcc
 
Generic approach for predicting unannotated protein pair function using protein
Generic approach for predicting unannotated protein pair function using proteinGeneric approach for predicting unannotated protein pair function using protein
Generic approach for predicting unannotated protein pair function using protein
 
demonstration lecture on Homology modeling
demonstration lecture on Homology modelingdemonstration lecture on Homology modeling
demonstration lecture on Homology modeling
 
protein data bank
protein data bankprotein data bank
protein data bank
 
Class powerpoint.ppt
Class powerpoint.pptClass powerpoint.ppt
Class powerpoint.ppt
 
Molecular Structures 2009
Molecular Structures 2009Molecular Structures 2009
Molecular Structures 2009
 
Protein structure 2
Protein structure 2Protein structure 2
Protein structure 2
 
Protein structure
Protein structureProtein structure
Protein structure
 
Pham yang embl-ebi
Pham yang embl-ebiPham yang embl-ebi
Pham yang embl-ebi
 
Practical 9 protein structure and function (3)
Practical 9 protein structure and function  (3)Practical 9 protein structure and function  (3)
Practical 9 protein structure and function (3)
 

More from University of Petroleum and Energy studies

Genome browsing in Bioinformatics.pptx
Genome browsing in Bioinformatics.pptxGenome browsing in Bioinformatics.pptx
Genome browsing in Bioinformatics.pptx
University of Petroleum and Energy studies
 
Quantitative test for Protein by Bradford Assay.pptx
Quantitative test for Protein by Bradford Assay.pptxQuantitative test for Protein by Bradford Assay.pptx
Quantitative test for Protein by Bradford Assay.pptx
University of Petroleum and Energy studies
 
RNA Extraction from Escherichia Coli.pptx
RNA Extraction from Escherichia Coli.pptxRNA Extraction from Escherichia Coli.pptx
RNA Extraction from Escherichia Coli.pptx
University of Petroleum and Energy studies
 
Isolation of cellular Proteins.pptx
Isolation of cellular Proteins.pptxIsolation of cellular Proteins.pptx
Isolation of cellular Proteins.pptx
University of Petroleum and Energy studies
 
Biosafety Levels by Francis and Prasoona .pptx
Biosafety Levels by Francis and Prasoona .pptxBiosafety Levels by Francis and Prasoona .pptx
Biosafety Levels by Francis and Prasoona .pptx
University of Petroleum and Energy studies
 
15 Biotechnology topics every Microbiologist should know.pptx
15 Biotechnology topics every Microbiologist should know.pptx15 Biotechnology topics every Microbiologist should know.pptx
15 Biotechnology topics every Microbiologist should know.pptx
University of Petroleum and Energy studies
 
Metabolic engineering: road to a sustainable future
Metabolic engineering: road to a sustainable futureMetabolic engineering: road to a sustainable future
Metabolic engineering: road to a sustainable future
University of Petroleum and Energy studies
 
Prediction of different features of a functional gene.pptx
Prediction of different features of a functional gene.pptxPrediction of different features of a functional gene.pptx
Prediction of different features of a functional gene.pptx
University of Petroleum and Energy studies
 
Genetic engineering.pptx
Genetic engineering.pptxGenetic engineering.pptx
Gene identification using bioinformatic tools.pptx
Gene identification using bioinformatic tools.pptxGene identification using bioinformatic tools.pptx
Gene identification using bioinformatic tools.pptx
University of Petroleum and Energy studies
 
How to design a DNA primer on NCBI.pptx
How to design a DNA primer on NCBI.pptxHow to design a DNA primer on NCBI.pptx
How to design a DNA primer on NCBI.pptx
University of Petroleum and Energy studies
 
Acetogenic Bacteria.pptx
Acetogenic Bacteria.pptxAcetogenic Bacteria.pptx
GMO in Africa, an untapped Opportunity.pptx
GMO in Africa, an untapped Opportunity.pptxGMO in Africa, an untapped Opportunity.pptx
GMO in Africa, an untapped Opportunity.pptx
University of Petroleum and Energy studies
 
Impact of the human genome project on medical advancement in India.
Impact of the human genome project on medical advancement in India.Impact of the human genome project on medical advancement in India.
Impact of the human genome project on medical advancement in India.
University of Petroleum and Energy studies
 
Enzymes, coenzymes and isoenzymes
Enzymes, coenzymes and isoenzymesEnzymes, coenzymes and isoenzymes
Enzymes, coenzymes and isoenzymes
University of Petroleum and Energy studies
 
Biochemistry of biological nitrogen fixation
Biochemistry of biological nitrogen fixationBiochemistry of biological nitrogen fixation
Biochemistry of biological nitrogen fixation
University of Petroleum and Energy studies
 

More from University of Petroleum and Energy studies (16)

Genome browsing in Bioinformatics.pptx
Genome browsing in Bioinformatics.pptxGenome browsing in Bioinformatics.pptx
Genome browsing in Bioinformatics.pptx
 
Quantitative test for Protein by Bradford Assay.pptx
Quantitative test for Protein by Bradford Assay.pptxQuantitative test for Protein by Bradford Assay.pptx
Quantitative test for Protein by Bradford Assay.pptx
 
RNA Extraction from Escherichia Coli.pptx
RNA Extraction from Escherichia Coli.pptxRNA Extraction from Escherichia Coli.pptx
RNA Extraction from Escherichia Coli.pptx
 
Isolation of cellular Proteins.pptx
Isolation of cellular Proteins.pptxIsolation of cellular Proteins.pptx
Isolation of cellular Proteins.pptx
 
Biosafety Levels by Francis and Prasoona .pptx
Biosafety Levels by Francis and Prasoona .pptxBiosafety Levels by Francis and Prasoona .pptx
Biosafety Levels by Francis and Prasoona .pptx
 
15 Biotechnology topics every Microbiologist should know.pptx
15 Biotechnology topics every Microbiologist should know.pptx15 Biotechnology topics every Microbiologist should know.pptx
15 Biotechnology topics every Microbiologist should know.pptx
 
Metabolic engineering: road to a sustainable future
Metabolic engineering: road to a sustainable futureMetabolic engineering: road to a sustainable future
Metabolic engineering: road to a sustainable future
 
Prediction of different features of a functional gene.pptx
Prediction of different features of a functional gene.pptxPrediction of different features of a functional gene.pptx
Prediction of different features of a functional gene.pptx
 
Genetic engineering.pptx
Genetic engineering.pptxGenetic engineering.pptx
Genetic engineering.pptx
 
Gene identification using bioinformatic tools.pptx
Gene identification using bioinformatic tools.pptxGene identification using bioinformatic tools.pptx
Gene identification using bioinformatic tools.pptx
 
How to design a DNA primer on NCBI.pptx
How to design a DNA primer on NCBI.pptxHow to design a DNA primer on NCBI.pptx
How to design a DNA primer on NCBI.pptx
 
Acetogenic Bacteria.pptx
Acetogenic Bacteria.pptxAcetogenic Bacteria.pptx
Acetogenic Bacteria.pptx
 
GMO in Africa, an untapped Opportunity.pptx
GMO in Africa, an untapped Opportunity.pptxGMO in Africa, an untapped Opportunity.pptx
GMO in Africa, an untapped Opportunity.pptx
 
Impact of the human genome project on medical advancement in India.
Impact of the human genome project on medical advancement in India.Impact of the human genome project on medical advancement in India.
Impact of the human genome project on medical advancement in India.
 
Enzymes, coenzymes and isoenzymes
Enzymes, coenzymes and isoenzymesEnzymes, coenzymes and isoenzymes
Enzymes, coenzymes and isoenzymes
 
Biochemistry of biological nitrogen fixation
Biochemistry of biological nitrogen fixationBiochemistry of biological nitrogen fixation
Biochemistry of biological nitrogen fixation
 

Recently uploaded

Nucleic Acid-its structural and functional complexity.
Nucleic Acid-its structural and functional complexity.Nucleic Acid-its structural and functional complexity.
Nucleic Acid-its structural and functional complexity.
Nistarini College, Purulia (W.B) India
 
Equivariant neural networks and representation theory
Equivariant neural networks and representation theoryEquivariant neural networks and representation theory
Equivariant neural networks and representation theory
Daniel Tubbenhauer
 
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
University of Maribor
 
原版制作(carleton毕业证书)卡尔顿大学毕业证硕士文凭原版一模一样
原版制作(carleton毕业证书)卡尔顿大学毕业证硕士文凭原版一模一样原版制作(carleton毕业证书)卡尔顿大学毕业证硕士文凭原版一模一样
原版制作(carleton毕业证书)卡尔顿大学毕业证硕士文凭原版一模一样
yqqaatn0
 
Phenomics assisted breeding in crop improvement
Phenomics assisted breeding in crop improvementPhenomics assisted breeding in crop improvement
Phenomics assisted breeding in crop improvement
IshaGoswami9
 
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...
Ana Luísa Pinho
 
Randomised Optimisation Algorithms in DAPHNE
Randomised Optimisation Algorithms in DAPHNERandomised Optimisation Algorithms in DAPHNE
Randomised Optimisation Algorithms in DAPHNE
University of Maribor
 
Eukaryotic Transcription Presentation.pptx
Eukaryotic Transcription Presentation.pptxEukaryotic Transcription Presentation.pptx
Eukaryotic Transcription Presentation.pptx
RitabrataSarkar3
 
Micronuclei test.M.sc.zoology.fisheries.
Micronuclei test.M.sc.zoology.fisheries.Micronuclei test.M.sc.zoology.fisheries.
Micronuclei test.M.sc.zoology.fisheries.
Aditi Bajpai
 
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptxThe use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx
MAGOTI ERNEST
 
molar-distalization in orthodontics-seminar.pptx
molar-distalization in orthodontics-seminar.pptxmolar-distalization in orthodontics-seminar.pptx
molar-distalization in orthodontics-seminar.pptx
Anagha Prasad
 
Topic: SICKLE CELL DISEASE IN CHILDREN-3.pdf
Topic: SICKLE CELL DISEASE IN CHILDREN-3.pdfTopic: SICKLE CELL DISEASE IN CHILDREN-3.pdf
Topic: SICKLE CELL DISEASE IN CHILDREN-3.pdf
TinyAnderson
 
mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt
mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốtmô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt
mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt
HongcNguyn6
 
Sharlene Leurig - Enabling Onsite Water Use with Net Zero Water
Sharlene Leurig - Enabling Onsite Water Use with Net Zero WaterSharlene Leurig - Enabling Onsite Water Use with Net Zero Water
Sharlene Leurig - Enabling Onsite Water Use with Net Zero Water
Texas Alliance of Groundwater Districts
 
8.Isolation of pure cultures and preservation of cultures.pdf
8.Isolation of pure cultures and preservation of cultures.pdf8.Isolation of pure cultures and preservation of cultures.pdf
8.Isolation of pure cultures and preservation of cultures.pdf
by6843629
 
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...
University of Maribor
 
SAR of Medicinal Chemistry 1st by dk.pdf
SAR of Medicinal Chemistry 1st by dk.pdfSAR of Medicinal Chemistry 1st by dk.pdf
SAR of Medicinal Chemistry 1st by dk.pdf
KrushnaDarade1
 
ESR spectroscopy in liquid food and beverages.pptx
ESR spectroscopy in liquid food and beverages.pptxESR spectroscopy in liquid food and beverages.pptx
ESR spectroscopy in liquid food and beverages.pptx
PRIYANKA PATEL
 
如何办理(uvic毕业证书)维多利亚大学毕业证本科学位证书原版一模一样
如何办理(uvic毕业证书)维多利亚大学毕业证本科学位证书原版一模一样如何办理(uvic毕业证书)维多利亚大学毕业证本科学位证书原版一模一样
如何办理(uvic毕业证书)维多利亚大学毕业证本科学位证书原版一模一样
yqqaatn0
 
Oedema_types_causes_pathophysiology.pptx
Oedema_types_causes_pathophysiology.pptxOedema_types_causes_pathophysiology.pptx
Oedema_types_causes_pathophysiology.pptx
muralinath2
 

Recently uploaded (20)

Nucleic Acid-its structural and functional complexity.
Nucleic Acid-its structural and functional complexity.Nucleic Acid-its structural and functional complexity.
Nucleic Acid-its structural and functional complexity.
 
Equivariant neural networks and representation theory
Equivariant neural networks and representation theoryEquivariant neural networks and representation theory
Equivariant neural networks and representation theory
 
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
 
原版制作(carleton毕业证书)卡尔顿大学毕业证硕士文凭原版一模一样
原版制作(carleton毕业证书)卡尔顿大学毕业证硕士文凭原版一模一样原版制作(carleton毕业证书)卡尔顿大学毕业证硕士文凭原版一模一样
原版制作(carleton毕业证书)卡尔顿大学毕业证硕士文凭原版一模一样
 
Phenomics assisted breeding in crop improvement
Phenomics assisted breeding in crop improvementPhenomics assisted breeding in crop improvement
Phenomics assisted breeding in crop improvement
 
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...
 
Randomised Optimisation Algorithms in DAPHNE
Randomised Optimisation Algorithms in DAPHNERandomised Optimisation Algorithms in DAPHNE
Randomised Optimisation Algorithms in DAPHNE
 
Eukaryotic Transcription Presentation.pptx
Eukaryotic Transcription Presentation.pptxEukaryotic Transcription Presentation.pptx
Eukaryotic Transcription Presentation.pptx
 
Micronuclei test.M.sc.zoology.fisheries.
Micronuclei test.M.sc.zoology.fisheries.Micronuclei test.M.sc.zoology.fisheries.
Micronuclei test.M.sc.zoology.fisheries.
 
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptxThe use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx
 
molar-distalization in orthodontics-seminar.pptx
molar-distalization in orthodontics-seminar.pptxmolar-distalization in orthodontics-seminar.pptx
molar-distalization in orthodontics-seminar.pptx
 
Topic: SICKLE CELL DISEASE IN CHILDREN-3.pdf
Topic: SICKLE CELL DISEASE IN CHILDREN-3.pdfTopic: SICKLE CELL DISEASE IN CHILDREN-3.pdf
Topic: SICKLE CELL DISEASE IN CHILDREN-3.pdf
 
mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt
mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốtmô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt
mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt
 
Sharlene Leurig - Enabling Onsite Water Use with Net Zero Water
Sharlene Leurig - Enabling Onsite Water Use with Net Zero WaterSharlene Leurig - Enabling Onsite Water Use with Net Zero Water
Sharlene Leurig - Enabling Onsite Water Use with Net Zero Water
 
8.Isolation of pure cultures and preservation of cultures.pdf
8.Isolation of pure cultures and preservation of cultures.pdf8.Isolation of pure cultures and preservation of cultures.pdf
8.Isolation of pure cultures and preservation of cultures.pdf
 
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...
 
SAR of Medicinal Chemistry 1st by dk.pdf
SAR of Medicinal Chemistry 1st by dk.pdfSAR of Medicinal Chemistry 1st by dk.pdf
SAR of Medicinal Chemistry 1st by dk.pdf
 
ESR spectroscopy in liquid food and beverages.pptx
ESR spectroscopy in liquid food and beverages.pptxESR spectroscopy in liquid food and beverages.pptx
ESR spectroscopy in liquid food and beverages.pptx
 
如何办理(uvic毕业证书)维多利亚大学毕业证本科学位证书原版一模一样
如何办理(uvic毕业证书)维多利亚大学毕业证本科学位证书原版一模一样如何办理(uvic毕业证书)维多利亚大学毕业证本科学位证书原版一模一样
如何办理(uvic毕业证书)维多利亚大学毕业证本科学位证书原版一模一样
 
Oedema_types_causes_pathophysiology.pptx
Oedema_types_causes_pathophysiology.pptxOedema_types_causes_pathophysiology.pptx
Oedema_types_causes_pathophysiology.pptx
 

Protein structure prediction primary structure analysis.pptx

  • 1. Protein structure prediction using bioinformatic tools 1 Okechukwu Francis Programme: PhD Biotechnology SCHOOL OF HEALTH SCIENCE AND TECHNOLOGY (SoHST)
  • 2. What structure protein structure prediction? Protein structure prediction refers to the process of predicting the three-dimensional structure of a protein molecule based on its amino acid sequence. Proteins are large biomolecules made up of chains of amino acids that fold into unique three-dimensional shapes, which determine their functions. The process of predicting the structure of a protein typically involves using computational methods to simulate the folding process of the protein chain, and to predict the interactions between amino acids that stabilize the final folded structure. These methods can be divided into two main categories: template-based modelling and ab initio modelling.
  • 3. In template-based modelling, the structure of a protein is predicted based on the known structure of a homologous protein with a similar amino acid sequence. This method relies on the assumption that proteins with similar sequences have similar structures.
  • 4. In ab initio modelling, the structure of a protein is predicted based on the first principles, without relying on the known structure of any homologous proteins. This method involves simulating the folding process of the protein from scratch, using principles of physics and chemistry to predict the most stable conformation of the protein. Protein structure prediction is an important field of study because it can help to elucidate the functions of proteins, and can provide insights into the mechanisms of disease and drug development. However, predicting protein structures is still a challenging problem, and accurate predictions are not always possible.
  • 5. How to analyze protein primary and secondary structure using psi-pred PSI-PRED is a widely used tool for predicting protein secondary structure from the primary amino acid sequence. However, it does not analyze the primary structure itself. To analyze the primary structure of a protein using PSI-PRED, you would first need to use another tool to obtain the amino acid sequence of the protein of interest. Once you have the sequence, you can use PSI-PRED to predict the secondary structure, which includes alpha helices, beta sheets, and coil regions. The predicted secondary structure can then be used to help infer the tertiary structure of the protein. Here are the basic steps to use PSI-PRED for secondary structure prediction: 1. Obtain the amino acid sequence of the protein of interest. 2. Go to the PSI-PRED website (http://bioinf.cs.ucl.ac.uk/psipred/) and click on the "Submit a Job" button. 3. Paste the amino acid sequence into the text box provided. 4. Choose the "PSI-PRED + PSIPRED-SS2" option for the prediction method. 5. Click the "Submit" button to initiate the prediction. 6. Wait for the prediction to finish, which may take several minutes to a few hours depending on the size of the protein. 7. Download the results, which will include a prediction of the secondary structure in the form of a prediction file. Once you have the predicted secondary structure, you can use it to help predict the tertiary structure using tools such as homology modelling or molecular dynamics simulations.
  • 6.
  • 7.
  • 8. Homology modelling using Swiss model Homology modelling is a computational method used to predict the three-dimensional structure of a protein based on the known structure of a related protein. Swiss Model is a widely used tool for homology modelling. Here are the basic steps to use Swiss Model for homology modelling: 1. Go to the Swiss Model website (https://swissmodel.expasy.org/) and click on the "Start Modeling" button. 2. Paste the amino acid sequence of the protein of interest into the text box provided. 3. Choose a suitable template structure for the homology modelling. Swiss Model provides several options for selecting a template, including searching the Protein Data Bank (PDB) or using a custom template. 4. Click on the search template to access various templates on the database which would be generated automatically by Swiss Model. 5. Review the alignment and make any necessary adjustments. 6. Submit the modelling job to Swiss Model. 7. Wait for the modelling to finish, which may take several minutes to a few hours depending on the size of the protein and the complexity of the modelling. 8. Download the results, which will include the predicted three-dimensional structure of the protein in the form of a PDB file. Note: After obtaining the predicted structure, it is important to validate the quality of the model. This can be done using tools such as PROCHECK or MolProbity, which assess the stereochemical quality of the model and compare it to known protein structures. Further refinement of the model can also be performed using molecular dynamics simulations or other methods.
  • 9.
  • 10.
  • 11.
  • 12. Molecular visualization using jmol Jmol is a free, open-source software program that is commonly used for molecular visualization and analysis. It can be used to view and manipulate molecular structures, and to visualize properties such as electrostatic potential, hydrogen bonding, and solvent accessibility. Here are the basic steps to use Jmol for molecular visualization: 1. Obtain the molecular structure you wish to visualize in a format that Jmol can read, such as a PDB file. 2. Download and install Jmol on your computer from the Jmol website (http://jmol.sourceforge.net/). 3. Launch Jmol by double-clicking on the Jmol application icon. 4. In the Jmol window, go to the "File" menu and choose "Open". 5. Select the PDB file you wish to visualize and click "Open". 6. The molecule will be displayed in the Jmol window, and you can use the mouse to rotate, zoom, and translate the view. 7. You can also use Jmol to visualize various molecular properties. For example, to display the electrostatic potential of the molecule, go to the "Display" menu and choose "Electrostatic Potential". To display hydrogen bonding, go to the "Display" menu and choose "Hydrogen Bonds". 8. You can also use Jmol to analyze the molecular structure. For example, you can measure distances between atoms or calculate the surface area of the molecule. 9. When you are finished using Jmol, go to the "File" menu and choose "Exit" to close the program. Jmol has many other features and capabilities beyond those listed here, so it is recommended to consult the Jmol user manual or online documentation for more detailed instructions and examples.
  • 13.
  • 14. Protein structure model evaluation using PROCHECK PROCHECK is a software program used to evaluate the quality of protein structures. It assesses the stereochemical quality of the model and compares it to known protein structures to identify any potential errors or anomalies in the structure. Here are the basic steps to use PROCHECK for protein structure model evaluation:  Obtain the protein structure you wish to evaluate in a format that PROCHECK can read, such as a PDB file.  Download and install PROCHECK on your computer from the PROCHECK website (https://www.ebi.ac.uk/thornton-srv/software/PROCHECK/).  Launch PROCHECK by typing "procheck" at the command prompt or by double- clicking on the PROCHECK application icon.  In the PROCHECK window, go to the "File" menu and choose "Load Protein".  Select the PDB file you wish to evaluate and click "Open".  The PROCHECK analysis will begin automatically, and the results will be displayed in the PROCHECK window.
  • 15.  The PROCHECK results include several types of information, including the Ramachandran plot, which shows the distribution of the backbone dihedral angles in the protein structure. PROCHECK compares this distribution to a distribution derived from high-resolution protein structures to identify any outliers or unusual conformations in the protein structure. Other information provided by PROCHECK includes the quality factor (Q-factor), which is a measure of the overall quality of the structure, and a summary of potential errors or anomalies in the structure.  Review the PROCHECK results and identify any potential errors or anomalies in the protein structure. If necessary, refine the structure using additional methods such as molecular dynamics simulations or energy minimization.  When you are finished using PROCHECK, go to the "File" menu and choose "Exit" to close the program.  PROCHECK has many other features and capabilities beyond those listed here, so it is recommended to consult the PROCHECK user manual or online documentation for more detailed instructions and examples.