1 / 9

Chap. 8 Molecular Structure Prediction

Chap. 8 Molecular Structure Prediction. Introduction to Computational Molecular Biology. Background. Given a primary 1-D molecular sequence, Determine its 3-D secondary or higher order structure. 3-D structure determine the function of a molecule

Jeffrey
Download Presentation

Chap. 8 Molecular Structure Prediction

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Chap. 8Molecular Structure Prediction Introduction to Computational Molecular Biology

  2. Background • Given a primary 1-D molecular sequence, Determine its 3-D secondary or higher order structure. • 3-D structure determine the function of a molecule • Techniques for molecular structural determination • such as X-ray crystallography and NMR • costly and not always feasible. • Computer-based prediction • allows us to do some assessment about the molecular function based on the predicted structure.

  3. Background • Focus in this chapter • In RNA • focus on secondary structure prediction • concerning how bases are paired. • In proteins • we study two problems • protein folding and protein threading. • A basic assumption • the primary sequence uniquely determines how the molecule folds (in both RNA and proteins).

  4. Secondary Structure Prediction • Given an RNA molecule • R = r1 r2 ... rn • the secondary structure S = {... (ri, rj) ...} • ri, rj in {A, C, G, U} and ri is a complement to rj. • Constraints • threshold t : j - i > t • the molecule does not bend too much on itself. • No knots. • (ri, rj) in S, (rk, rl) in S, and i < k < j < l. • exclusion of knots simples the problem • inferred at a later stage of structure prediction. • Minimum free energy.

  5. Independent Base Pairs • The total free energy E of a structure S is given by • (ri, rj) is the free energy of base pair (ri, rj) • a(ri, rj) < 0 if i ≠ j • a(ri, rj) = 0 if i = j.

  6. Independent Base Pairs • Compute the free energy • Using the dynamic programming concept. • Consider a substring Ri,j = ri ri+1 ... rj • There are two cases: • ri pairs to rj. • rj pairs to rk (i < k < j) • The dynamic programming formula

  7. Structures with Loops • In a structure with loops, a base may be unpaired. • Consider a substring Ri,j = ri ri+1 ... rj. • There are four cases: • (1) ri is unpaired. • (2) rj is unpaired. • (3) rj is paired to rk (i < k < j). • (4) ri is paired to rj.

  8. Loop Hairpin loop Bulge on i Interior loop Helical region

  9. Dynamic Programming • The dynamic programming formula

More Related