BEL110 presentation

Loading...

Flash Player 9 (or above) is needed to view presentations.
We have detected that you do not have it on your computer. To install it, go here.

0 comments

Post a comment

    Post a comment
    Embed Video
    Edit your comment Cancel

    Favorites, Groups & Events

    BEL110 presentation - Presentation Transcript

    1. Protein tertiary and quaternary structure determination using Bio informatics tools Dipankar Sarkar 2003CS10161 Group #1
    2. Introduction
      • What is a protein?
        • A protein (from the Greek protas meaning of primary importance) is a complex, high-molecular-weight, organic compound that consists of amino acids joined by peptide bonds.
      • Proteins are essential to the structure and function of all living cells and viruses.
    3. Protein – Component & synthesis
      • Proteins are polymers built from 20 different L-alpha-amino acids. Proteins are assembled from amino acids using information present in genes. Genes are transcribed into RNA, RNA is then subject to post-transcriptional modification and control, resulting in a mature mRNA that undergoes translation into a protein. mRNA is translated by ribosomes that match the three-base codons of the mRNA to the three-base anti-codons of the appropriate tRNA. The enzyme aminoacyl tRNA synthetase catalyzes the formation of covalent peptide bonds between amino acids forming the protein.
      • The two ends of the amino acid chain are referred to as the carboxy terminus (C-terminus) and the amino terminus (N-terminus) based on the nature of the free group on each extremity.
    4. Protein - structure
      • Primary - amino acid sequence
      • Secondary - highly patterned sub-structures
      • Tertiary - the overall shape of a single protein molecule
      • Quaternary - the shape or structure that results from the union of more than one protein molecule
    5. Tertiary structure prediction
      • Aim is of determining the three-dimensional structure of proteins from their amino acid sequences
      • There are two methods of structure prediction
        • De novo protein modeling – Brute force method of predicting the 3D structure of the protein. Needs a lot of computational power. Example – Rosetta.
    6. Tertiary - Continued
        • Comparative protein modeling – It uses previously solved structures as starting points, or templates. This is effective because it appears that although the number of actual proteins is vast, there is a limited set of tertiary structural motifs to which most proteins belong. Into 2 more types of modeling :
          • Homology modelling
          • Protein threading
    7. Quaternary structure prediction
      • In addition to the tertiary structure of the subunits, multiple-subunit proteins possess a quaternary structure, which is the arrangement into which the subunits assemble
      • There are 3 primary methods of predicting protein-protein interaction
        • Phylogenetic distance and co-evolution of interacting domains – Example – ADVICE
    8. Quaternary - Continued
        • Identification of homologous interacting pairs – This method consists of searching whether the two sequences have homologues which form a complex in a database of known structures of complexes. Example :- InterPreTS (Interaction Prediction through Tertiary Structure)
        • Identification of structural patterns (target must be a structure) – The third method builds a library of known protein-protein interfaces from the Protein Data Bank. The sequences in the library are then clustered based on structural alignment and redundant sequences are eliminated. Example :- PRISM
    9. Conclusion
      • Methods used by bioinformatics tools are heavily based on algorithmic research, a key area of computer science research.
      • As structure prediction is composed of NP hard sub-problems, techniques like neural networks and approximation algorithms are heavily used in the bioinformatics tools.
    10. Bibliography
      • Simons, K. T., Bonneau, R., Ruczinski, I., Baker, D.,(1999) Ab initio protein structure prediction of CASP III targets using ROSETTA, Proteins Suppl 3, 171-6.
      • Bates, P.A., Kelley, L.A., MacCallum, R.M. and Sternberg, M.J.E., (2001) Enhancement of Protein Modelling by Human Intervention in Applying the Automatic Programs 3D-JIGSAW and 3D-PSSM., Proteins: Structure, Function and Genetics, Suppl 5:39-46.
      • Tan S.H., Zhang Z., Ng S.K.,(2004) ADVICE: Automated Detection and Validation of Interaction by Co-Evolution.. Nucl. Ac. Res., 32 (Web Server issue):W69-72.
      • Aloy P.,Russell R.B, InterPreTS: Protein Interaction Prediction through Tertiary Structure., Bioinformatics, 19 (1), 161-162.
      • Ogmen U., Keskin O., Aytuna A.S., Nussinov R. and Gursoy A,(2005) PRISM: protein interactions by structural matching., Nucl. Ac. Res.,33 (Web Server issue):W331-336.
      • Wikipedia, http://www.wikipedia.com.

    + variable_orrvariable_orr, 3 years ago

    custom

    873 views, 0 favs, 1 embeds more stats

    This presentation is on protiens.

    More info about this document

    © All Rights Reserved

    Go to text version

    • Total Views 873
      • 872 on SlideShare
      • 1 from embeds
    • Comments 0
    • Favorites 0
    • Downloads 21
    Most viewed embeds
    • 1 views on http://localhost

    more

    All embeds
    • 1 views on http://localhost

    less

    Flagged as inappropriate Flag as inappropriate
    Flag as inappropriate

    Select your reason for flagging this presentation as inappropriate. If needed, use the feedback form to let us know more details.

    Cancel
    File a copyright complaint
    Having problems? Go to our helpdesk?

    Categories