SlideShare a Scribd company logo
TERTIARY STRUCTURE PREDICTION
COMPARATIVE MODELLING- MODELLER, RASMOL
Presented by,
Kaveri
WHAT IS A TERTIARY STRUCTURE OF PROTEIN?
• Tertiary Structure is the folding of the total chain
• Secondary structure linked by turns and loops.
• Stability - non-bonding interactions & the disulfide bond.
Tertiary structure
WHAT IS TERTIARY STRUCTURE PREDICTION?
• Inference of the three-dimensional structure of a protein
from its amino acid sequence.
• Prediction of its folding and its secondary and tertiary
structure from its primary structure.
• Sites for calculating and displaying the 3-D structure of
oligosaccharides and proteins.
• Eg: ab initio, Homology modelling, protein threading etc
COMPARATIVE MODELLING
• Predicts 3 dimensional structure of a given protein sequence
(target) based on an alignment to one or more known protein
structures (templates).
• Uses experimentally determined protein structures as templates
to predict the conformation of another protein that exhibits
amino acid sequence homology.
• If similarity between the target sequence and the template sequence is detected, structural
similarity can be assumed.
• A similar structure can be predicted if sequence similarity is about or above 35%.
• The similarity of structures is very high in the so-called "core regions“.
• core regions - comprised of secondary structure elements such as a-helices and b-sheets.
STEPS FOR COMPARATIVE MODELING
1. Find one or more proteins in the PDB that
exhibit sequence similarity to your protein
2. Construct a sequence alignment
3. Decide which regions are structurally
conserved (SCR): helices, strands
4. Construct loops either by analogy or from a
database
5.Place side-chains: use existing
conformational info and rotamer databases.
6. Refine the model: packing, surface
accessibilities, energy calculations
7. Validate the model
8. Iterate all of the above steps to remove
errors
MERITS AND DEMERITS
MERITS
• Enrichment of graphical methods
• Formulation to incorporate domain knowledge
• Effective for protein structure prediction
• Solution for long range interaction
DEMERITS
• Manual feature extraction
• Difficulty in verification
• High complexity
MODELLER
• Program for Comparative protein structure modelling by satisfaction of spatial restrains.
• Used for comparative modeling of protein three-dimensional structures.
• The user provides an alignment of a sequence to be modeled with known related structures
MODELLER automatically calculates a model containing all non-hydrogen atoms.
• Implements comparative protein structure modeling by satisfaction of spatial restraints.
• Additional tasks
• de novo modeling of loops in protein structures
• Optimization of various models of protein structure with respect to a flexibly defined
objective function
• Multiple alignment of protein sequences and/or structures
• Clustering
• Searching of sequence databases
• Comparison of protein structures etc.
• MODELLER is written in Fortran-90 and is meant
to run on a UNIX system.
• Available free of charge to academic non-profit
institutions.
• https://salilab.org/modeller/ - website.
RASMOL
• It is a molecular graphics bio-software used for the visualization of proteins, nucleic acids,
and small molecules.
• This molecular viewer is aimed at display, teaching and generation of publication quality
images.
• It allows user to display the molecule in a variety of structural representation.
• Ras Mol can be downloaded from http://www.umass.edu/microbio/rasmol.
FEATURES
• Ras Mol displays all or any part(s) of a molecule or
molecular complex.
• It can rotate the displayed image
• Different parts of the structure can be coloured to convey
structural information, and can be labeled
• It can report information about atoms including name of the
atom, bond distances, angle etc.
• It can represent structures in different models (ball and stick
models, ribbons, strands, cartoons etc.).
HOW TO USE RAS MOL ? 2 windows
Graphics
window
command
Line window
Graphics window
• The top of the graphics window has a menu bar of pull-
down menus such as File, Display, Colours, Export,
Options, and Help.
• The molecules appears in initially as a wire –frame
structure with a black back- ground.
• With the help of the Display and Colours menus, we can
change the display from wire-frame to back bone, sticks,
space fill, or various ribbons, and we can also change the
colour of the molecule.
Command Line window
• It is used for selection of those portions of the molecules of
interest.
• The commands offer the possibility for changing the colour.
• H-bonding involved in the secondary structure of the protein
can be displayed.
• Showing the ligands or coenzymes in space filling mode, all
are colour coded to make the various features easily
identifiable.
USES
• It is a software to view, handle, and
analyze macromolecular 3D structures.
• It determines overall shape and size of a
molecule.
• To locate or predict possible binding
sites of a ligand.
• To study evolutionary process at
molecular level.
THANK YOU

More Related Content

What's hot

Protein data bank
Protein data bankProtein data bank
Protein data bank
Alichy Sowmya
 
String.pptx
String.pptxString.pptx
String.pptx
RitikaChoudhary57
 
Homology modelling
Homology modellingHomology modelling
Homology modelling
Ayesha Choudhury
 
Kegg databse
Kegg databseKegg databse
Kegg databse
Rashi Srivastava
 
Introduction to NCBI
Introduction to NCBIIntroduction to NCBI
Introduction to NCBI
geetikaJethra
 
Ab Initio Protein Structure Prediction
Ab Initio Protein Structure PredictionAb Initio Protein Structure Prediction
Ab Initio Protein Structure Prediction
Arindam Ghosh
 
Swiss pdb viewer
Swiss pdb viewerSwiss pdb viewer
Swiss pdb viewer
Sivasangari Shanmugam
 
Role of bioinformatics of drug designing
Role of bioinformatics of drug designingRole of bioinformatics of drug designing
Role of bioinformatics of drug designing
Dr NEETHU ASOKAN
 
Protein database
Protein databaseProtein database
Protein database
Rajpal Choudhary
 
Bioinformatics
BioinformaticsBioinformatics
Bioinformatics
Afra Fathima
 
Protein Threading
Protein ThreadingProtein Threading
Protein Threading
SANJANA PANDEY
 
methods for protein structure prediction
methods for protein structure predictionmethods for protein structure prediction
methods for protein structure prediction
karamveer prajapat
 
Protein structure visualization tools-RASMOL
Protein structure visualization tools-RASMOLProtein structure visualization tools-RASMOL
Protein structure visualization tools-RASMOL
Vidya Kalaivani Rajkumar
 
Protein structure classification/domain prediction: SCOP and CATH (Bioinforma...
Protein structure classification/domain prediction: SCOP and CATH (Bioinforma...Protein structure classification/domain prediction: SCOP and CATH (Bioinforma...
Protein structure classification/domain prediction: SCOP and CATH (Bioinforma...
SELF-EXPLANATORY
 
Scop database
Scop databaseScop database
Scop database
Sayantani Roy
 
Shotgun and clone contig method
Shotgun and clone contig methodShotgun and clone contig method
Shotgun and clone contig method
Dr. Naveen Gaurav srivastava
 
Protein Structure, Databases and Structural Alignment
Protein Structure, Databases and Structural AlignmentProtein Structure, Databases and Structural Alignment
Protein Structure, Databases and Structural Alignment
Saramita De Chakravarti
 
Structural databases
Structural databases Structural databases
Structural databases
Priyadharshana
 
Chou fasman algorithm for protein structure prediction
Chou fasman algorithm for protein structure predictionChou fasman algorithm for protein structure prediction
Chou fasman algorithm for protein structure prediction
Roshan Karunarathna
 
(Expasy)
(Expasy)(Expasy)
(Expasy)
Mazhar Khan
 

What's hot (20)

Protein data bank
Protein data bankProtein data bank
Protein data bank
 
String.pptx
String.pptxString.pptx
String.pptx
 
Homology modelling
Homology modellingHomology modelling
Homology modelling
 
Kegg databse
Kegg databseKegg databse
Kegg databse
 
Introduction to NCBI
Introduction to NCBIIntroduction to NCBI
Introduction to NCBI
 
Ab Initio Protein Structure Prediction
Ab Initio Protein Structure PredictionAb Initio Protein Structure Prediction
Ab Initio Protein Structure Prediction
 
Swiss pdb viewer
Swiss pdb viewerSwiss pdb viewer
Swiss pdb viewer
 
Role of bioinformatics of drug designing
Role of bioinformatics of drug designingRole of bioinformatics of drug designing
Role of bioinformatics of drug designing
 
Protein database
Protein databaseProtein database
Protein database
 
Bioinformatics
BioinformaticsBioinformatics
Bioinformatics
 
Protein Threading
Protein ThreadingProtein Threading
Protein Threading
 
methods for protein structure prediction
methods for protein structure predictionmethods for protein structure prediction
methods for protein structure prediction
 
Protein structure visualization tools-RASMOL
Protein structure visualization tools-RASMOLProtein structure visualization tools-RASMOL
Protein structure visualization tools-RASMOL
 
Protein structure classification/domain prediction: SCOP and CATH (Bioinforma...
Protein structure classification/domain prediction: SCOP and CATH (Bioinforma...Protein structure classification/domain prediction: SCOP and CATH (Bioinforma...
Protein structure classification/domain prediction: SCOP and CATH (Bioinforma...
 
Scop database
Scop databaseScop database
Scop database
 
Shotgun and clone contig method
Shotgun and clone contig methodShotgun and clone contig method
Shotgun and clone contig method
 
Protein Structure, Databases and Structural Alignment
Protein Structure, Databases and Structural AlignmentProtein Structure, Databases and Structural Alignment
Protein Structure, Databases and Structural Alignment
 
Structural databases
Structural databases Structural databases
Structural databases
 
Chou fasman algorithm for protein structure prediction
Chou fasman algorithm for protein structure predictionChou fasman algorithm for protein structure prediction
Chou fasman algorithm for protein structure prediction
 
(Expasy)
(Expasy)(Expasy)
(Expasy)
 

Similar to Tertiary structure prediction- MODELLER, RASMOL

HOMOLOGY MODELING IN EASIER WAY
HOMOLOGY MODELING IN EASIER WAYHOMOLOGY MODELING IN EASIER WAY
HOMOLOGY MODELING IN EASIER WAY
Shikha Popali
 
L1Protein_Structure_Analysis.pptx
L1Protein_Structure_Analysis.pptxL1Protein_Structure_Analysis.pptx
L1Protein_Structure_Analysis.pptx
kigaruantony
 
protein design, principles and examples.pptx
protein design, principles and examples.pptxprotein design, principles and examples.pptx
protein design, principles and examples.pptx
GopiChand121
 
Structural bioinformatics.
Structural bioinformatics.Structural bioinformatics.
Structural bioinformatics.
SALIHAMUGHAL
 
I- Tasser
I- TasserI- Tasser
I- Tasser
Animesh Kumar
 
Homology Modelling
Homology ModellingHomology Modelling
Homology Modelling
MAYANK ,MEHENDIRATTA
 
Homology Modeling.pptx
Homology Modeling.pptxHomology Modeling.pptx
Homology Modeling.pptx
AmnaAkram29
 
Protein structure analysis
Protein structure analysis Protein structure analysis
Protein structure analysis
Anfal Izaldeen AL KATEEB
 
Computational Prediction of Protein Structure.pptx
Computational Prediction of Protein Structure.pptxComputational Prediction of Protein Structure.pptx
Computational Prediction of Protein Structure.pptx
ShraddhaRaut43
 
Computational Prediction Of Protein-1.pptx
Computational Prediction Of Protein-1.pptxComputational Prediction Of Protein-1.pptx
Computational Prediction Of Protein-1.pptx
ashharnomani
 
Homology modeling
Homology modelingHomology modeling
Drug discovery presentation
Drug discovery presentationDrug discovery presentation
Drug discovery presentation
Theertha Raveendran
 
Homology modeling: Modeller
Homology modeling: ModellerHomology modeling: Modeller
Computer Aided Molecular Modeling
Computer Aided Molecular ModelingComputer Aided Molecular Modeling
Computer Aided Molecular Modeling
pkchoudhury
 
homology modellign lecture .pdf
homology modellign lecture .pdfhomology modellign lecture .pdf
homology modellign lecture .pdf
AliAhamd7
 
homology modellign lecture .pdf
homology modellign lecture .pdfhomology modellign lecture .pdf
homology modellign lecture .pdf
AliAhamd7
 
Presentation1
Presentation1Presentation1
Presentation1
firesea
 
Protien Structure Prediction
Protien Structure PredictionProtien Structure Prediction
Protien Structure Prediction
SelimReza76
 
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 mccUSD Bioinformatics
 
protein Modeling Abi.pptx
protein Modeling Abi.pptxprotein Modeling Abi.pptx
protein Modeling Abi.pptx
MuhammadRizwan863722
 

Similar to Tertiary structure prediction- MODELLER, RASMOL (20)

HOMOLOGY MODELING IN EASIER WAY
HOMOLOGY MODELING IN EASIER WAYHOMOLOGY MODELING IN EASIER WAY
HOMOLOGY MODELING IN EASIER WAY
 
L1Protein_Structure_Analysis.pptx
L1Protein_Structure_Analysis.pptxL1Protein_Structure_Analysis.pptx
L1Protein_Structure_Analysis.pptx
 
protein design, principles and examples.pptx
protein design, principles and examples.pptxprotein design, principles and examples.pptx
protein design, principles and examples.pptx
 
Structural bioinformatics.
Structural bioinformatics.Structural bioinformatics.
Structural bioinformatics.
 
I- Tasser
I- TasserI- Tasser
I- Tasser
 
Homology Modelling
Homology ModellingHomology Modelling
Homology Modelling
 
Homology Modeling.pptx
Homology Modeling.pptxHomology Modeling.pptx
Homology Modeling.pptx
 
Protein structure analysis
Protein structure analysis Protein structure analysis
Protein structure analysis
 
Computational Prediction of Protein Structure.pptx
Computational Prediction of Protein Structure.pptxComputational Prediction of Protein Structure.pptx
Computational Prediction of Protein Structure.pptx
 
Computational Prediction Of Protein-1.pptx
Computational Prediction Of Protein-1.pptxComputational Prediction Of Protein-1.pptx
Computational Prediction Of Protein-1.pptx
 
Homology modeling
Homology modelingHomology modeling
Homology modeling
 
Drug discovery presentation
Drug discovery presentationDrug discovery presentation
Drug discovery presentation
 
Homology modeling: Modeller
Homology modeling: ModellerHomology modeling: Modeller
Homology modeling: Modeller
 
Computer Aided Molecular Modeling
Computer Aided Molecular ModelingComputer Aided Molecular Modeling
Computer Aided Molecular Modeling
 
homology modellign lecture .pdf
homology modellign lecture .pdfhomology modellign lecture .pdf
homology modellign lecture .pdf
 
homology modellign lecture .pdf
homology modellign lecture .pdfhomology modellign lecture .pdf
homology modellign lecture .pdf
 
Presentation1
Presentation1Presentation1
Presentation1
 
Protien Structure Prediction
Protien Structure PredictionProtien Structure Prediction
Protien Structure Prediction
 
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
 
protein Modeling Abi.pptx
protein Modeling Abi.pptxprotein Modeling Abi.pptx
protein Modeling Abi.pptx
 

Recently uploaded

Digital Artifact 2 - Investigating Pavilion Designs
Digital Artifact 2 - Investigating Pavilion DesignsDigital Artifact 2 - Investigating Pavilion Designs
Digital Artifact 2 - Investigating Pavilion Designs
chanes7
 
1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx
JosvitaDsouza2
 
How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...
Jisc
 
JEE1_This_section_contains_FOUR_ questions
JEE1_This_section_contains_FOUR_ questionsJEE1_This_section_contains_FOUR_ questions
JEE1_This_section_contains_FOUR_ questions
ShivajiThube2
 
Best Digital Marketing Institute In NOIDA
Best Digital Marketing Institute In NOIDABest Digital Marketing Institute In NOIDA
Best Digital Marketing Institute In NOIDA
deeptiverma2406
 
Synthetic Fiber Construction in lab .pptx
Synthetic Fiber Construction in lab .pptxSynthetic Fiber Construction in lab .pptx
Synthetic Fiber Construction in lab .pptx
Pavel ( NSTU)
 
Introduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp NetworkIntroduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp Network
TechSoup
 
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdfUnit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Thiyagu K
 
The Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official PublicationThe Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official Publication
Delapenabediema
 
The Diamond Necklace by Guy De Maupassant.pptx
The Diamond Necklace by Guy De Maupassant.pptxThe Diamond Necklace by Guy De Maupassant.pptx
The Diamond Necklace by Guy De Maupassant.pptx
DhatriParmar
 
The Diamonds of 2023-2024 in the IGRA collection
The Diamonds of 2023-2024 in the IGRA collectionThe Diamonds of 2023-2024 in the IGRA collection
The Diamonds of 2023-2024 in the IGRA collection
Israel Genealogy Research Association
 
Unit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdfUnit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdf
Thiyagu K
 
2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...
Sandy Millin
 
Chapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptxChapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptx
Mohd Adib Abd Muin, Senior Lecturer at Universiti Utara Malaysia
 
The Accursed House by Émile Gaboriau.pptx
The Accursed House by Émile Gaboriau.pptxThe Accursed House by Émile Gaboriau.pptx
The Accursed House by Émile Gaboriau.pptx
DhatriParmar
 
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
MysoreMuleSoftMeetup
 
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...
Levi Shapiro
 
The basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptxThe basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptx
heathfieldcps1
 
South African Journal of Science: Writing with integrity workshop (2024)
South African Journal of Science: Writing with integrity workshop (2024)South African Journal of Science: Writing with integrity workshop (2024)
South African Journal of Science: Writing with integrity workshop (2024)
Academy of Science of South Africa
 
Operation Blue Star - Saka Neela Tara
Operation Blue Star   -  Saka Neela TaraOperation Blue Star   -  Saka Neela Tara
Operation Blue Star - Saka Neela Tara
Balvir Singh
 

Recently uploaded (20)

Digital Artifact 2 - Investigating Pavilion Designs
Digital Artifact 2 - Investigating Pavilion DesignsDigital Artifact 2 - Investigating Pavilion Designs
Digital Artifact 2 - Investigating Pavilion Designs
 
1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx
 
How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...
 
JEE1_This_section_contains_FOUR_ questions
JEE1_This_section_contains_FOUR_ questionsJEE1_This_section_contains_FOUR_ questions
JEE1_This_section_contains_FOUR_ questions
 
Best Digital Marketing Institute In NOIDA
Best Digital Marketing Institute In NOIDABest Digital Marketing Institute In NOIDA
Best Digital Marketing Institute In NOIDA
 
Synthetic Fiber Construction in lab .pptx
Synthetic Fiber Construction in lab .pptxSynthetic Fiber Construction in lab .pptx
Synthetic Fiber Construction in lab .pptx
 
Introduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp NetworkIntroduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp Network
 
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdfUnit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdf
 
The Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official PublicationThe Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official Publication
 
The Diamond Necklace by Guy De Maupassant.pptx
The Diamond Necklace by Guy De Maupassant.pptxThe Diamond Necklace by Guy De Maupassant.pptx
The Diamond Necklace by Guy De Maupassant.pptx
 
The Diamonds of 2023-2024 in the IGRA collection
The Diamonds of 2023-2024 in the IGRA collectionThe Diamonds of 2023-2024 in the IGRA collection
The Diamonds of 2023-2024 in the IGRA collection
 
Unit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdfUnit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdf
 
2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...
 
Chapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptxChapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptx
 
The Accursed House by Émile Gaboriau.pptx
The Accursed House by Émile Gaboriau.pptxThe Accursed House by Émile Gaboriau.pptx
The Accursed House by Émile Gaboriau.pptx
 
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
 
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...
 
The basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptxThe basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptx
 
South African Journal of Science: Writing with integrity workshop (2024)
South African Journal of Science: Writing with integrity workshop (2024)South African Journal of Science: Writing with integrity workshop (2024)
South African Journal of Science: Writing with integrity workshop (2024)
 
Operation Blue Star - Saka Neela Tara
Operation Blue Star   -  Saka Neela TaraOperation Blue Star   -  Saka Neela Tara
Operation Blue Star - Saka Neela Tara
 

Tertiary structure prediction- MODELLER, RASMOL

  • 1. TERTIARY STRUCTURE PREDICTION COMPARATIVE MODELLING- MODELLER, RASMOL Presented by, Kaveri
  • 2. WHAT IS A TERTIARY STRUCTURE OF PROTEIN? • Tertiary Structure is the folding of the total chain • Secondary structure linked by turns and loops. • Stability - non-bonding interactions & the disulfide bond. Tertiary structure
  • 3. WHAT IS TERTIARY STRUCTURE PREDICTION? • Inference of the three-dimensional structure of a protein from its amino acid sequence. • Prediction of its folding and its secondary and tertiary structure from its primary structure. • Sites for calculating and displaying the 3-D structure of oligosaccharides and proteins. • Eg: ab initio, Homology modelling, protein threading etc
  • 4. COMPARATIVE MODELLING • Predicts 3 dimensional structure of a given protein sequence (target) based on an alignment to one or more known protein structures (templates). • Uses experimentally determined protein structures as templates to predict the conformation of another protein that exhibits amino acid sequence homology.
  • 5. • If similarity between the target sequence and the template sequence is detected, structural similarity can be assumed. • A similar structure can be predicted if sequence similarity is about or above 35%.
  • 6. • The similarity of structures is very high in the so-called "core regions“. • core regions - comprised of secondary structure elements such as a-helices and b-sheets.
  • 7. STEPS FOR COMPARATIVE MODELING 1. Find one or more proteins in the PDB that exhibit sequence similarity to your protein 2. Construct a sequence alignment 3. Decide which regions are structurally conserved (SCR): helices, strands 4. Construct loops either by analogy or from a database 5.Place side-chains: use existing conformational info and rotamer databases. 6. Refine the model: packing, surface accessibilities, energy calculations 7. Validate the model 8. Iterate all of the above steps to remove errors
  • 8. MERITS AND DEMERITS MERITS • Enrichment of graphical methods • Formulation to incorporate domain knowledge • Effective for protein structure prediction • Solution for long range interaction DEMERITS • Manual feature extraction • Difficulty in verification • High complexity
  • 9. MODELLER • Program for Comparative protein structure modelling by satisfaction of spatial restrains. • Used for comparative modeling of protein three-dimensional structures. • The user provides an alignment of a sequence to be modeled with known related structures MODELLER automatically calculates a model containing all non-hydrogen atoms. • Implements comparative protein structure modeling by satisfaction of spatial restraints.
  • 10. • Additional tasks • de novo modeling of loops in protein structures • Optimization of various models of protein structure with respect to a flexibly defined objective function • Multiple alignment of protein sequences and/or structures • Clustering • Searching of sequence databases • Comparison of protein structures etc.
  • 11. • MODELLER is written in Fortran-90 and is meant to run on a UNIX system. • Available free of charge to academic non-profit institutions. • https://salilab.org/modeller/ - website.
  • 12. RASMOL • It is a molecular graphics bio-software used for the visualization of proteins, nucleic acids, and small molecules. • This molecular viewer is aimed at display, teaching and generation of publication quality images. • It allows user to display the molecule in a variety of structural representation. • Ras Mol can be downloaded from http://www.umass.edu/microbio/rasmol.
  • 13. FEATURES • Ras Mol displays all or any part(s) of a molecule or molecular complex. • It can rotate the displayed image • Different parts of the structure can be coloured to convey structural information, and can be labeled • It can report information about atoms including name of the atom, bond distances, angle etc. • It can represent structures in different models (ball and stick models, ribbons, strands, cartoons etc.).
  • 14. HOW TO USE RAS MOL ? 2 windows Graphics window command Line window Graphics window • The top of the graphics window has a menu bar of pull- down menus such as File, Display, Colours, Export, Options, and Help. • The molecules appears in initially as a wire –frame structure with a black back- ground. • With the help of the Display and Colours menus, we can change the display from wire-frame to back bone, sticks, space fill, or various ribbons, and we can also change the colour of the molecule.
  • 15. Command Line window • It is used for selection of those portions of the molecules of interest. • The commands offer the possibility for changing the colour. • H-bonding involved in the secondary structure of the protein can be displayed. • Showing the ligands or coenzymes in space filling mode, all are colour coded to make the various features easily identifiable.
  • 16. USES • It is a software to view, handle, and analyze macromolecular 3D structures. • It determines overall shape and size of a molecule. • To locate or predict possible binding sites of a ligand. • To study evolutionary process at molecular level.