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RNA Folding

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Title: RNA Folding


1
RNA Folding
  • Xinyu Tang
  • Bonnie Kirkpatrick

2
Overview
  • Introduction to RNA
  • Previous Work
  • Problem
  • Hofackers Paper
  • Chen and Dills Paper
  • Modeling RNA Folding with PRM

3
Introduction to RNA
4
Composition of Ribonucleic Acid
  • A polymer (sequence) of ribonucleoside-phosphates
  • Ribose (sugar)
  • Phosphoric Acid
  • Organic bases
  • Adenine (A)
  • Guanine (G)
  • Cytosine (C)
  • Uracil (U)

5
Complementary Base Pairs
  • Canonical base pairs
  • Watson-Crick base pairs
  • C-G
  • A-U
  • Stable base pairs
  • Hydrogen bonds
  • Weaker G-U wobble pair
  • Non-canonical base pairs
  • Some of them stable

6
RNA Tertiary Structure
  • A complex folding in 3-dimensions (similar to
    protein tertiary structure)
  • A specific folding is referred to as a
    conformation
  • Pseudo knots are considered a tertiary structure,
    rather than a secondary structure

7
RNA Secondary Structure
  • A secondary structure conformation is specified
    by a set of intra-chain contacts (base pairs)
    that follow certain rules
  • Given any two intra-chain contacts i, j with i
    lt j and i, j with i lt j, then
  • If i i, then j j
  • Each base can appear in only one contact pair
  • If i lt j, then i lt i lt j lt j
  • No pseudo-knots
  • Can be represented as planar graphs

8
Representations of RNA
  • M Multi-loop
  • I Internal-loop
  • B Bulge-loop
  • H hairpin-loop
  • W-C pairs
  • - GU pairs

9
Representations (cont.)
  • Hydrogen bonds between intra-chain pairs are
    represented by circular arcs

All representations are equivalent
10
Representations (cont.)
  • Contact Map
  • A dot is placed in the ith row and jth column of
    a triangular array to represent the intra-chain
    contact i, j

11
Previous Work
12
Maximum Matching Problem
  • Watermann and Nussinnov Algorithms
  • Finding the conformation with the maximum
    possible number of intra-chain contacts
  • Computed using dynamic programming

13
Minimum Energy Problem
  • Zuker and Stiegler Algorithm
  • Predicts the native structure by finding the
    conformation with the minimum energy
  • Modified Zuker Algorithm
  • Generates a set of conformations that lie within
    some energy range of the predicted native
    conformation
  • McCaskill Algorithm
  • Calculates the frequency of intra-chain contact
    occurrences in an ensemble of all possible
    structures

14
Problem
15
Energy Landscapes
  • Native conformations of RNA can be predicted with
    accuracy
  • But the not much is known about the kinetics and
    thermodynamics of the folding
  • Energy landscapes show us what different
    conformations the RNA goes through as it folds

16
Elements of the Problem
  • Model
  • Sampling Pattern
  • Node Connection Methods
  • Analysis Techniques

17
Hofackers Paper
18
Chen and Dills Paper
19
Modeling RNA Folding with PRM
20
Secodary vs Tertiary Structure
  • Tertiary structure can only be determined for
    tRNA
  • Secondary structure predictions only approximate
    tertiary structure
  • For each set of intra-chain contacts, there is an
    ensemble of possible tertiary structures
  • Chen and Dill were able to use a
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