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Chapter 24 RNA structure Contents 24.1 RNA secondary structure prediction . . . . . . . . . . . . . . . . . . . . . . . 502 24.1.1 Selecting sequences for prediction . . . . . . . . . . . . . . . . . . . . . 502 24.1.2 Structure output . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 503 24.1.3 Partition function 24.1.4 24.1.5 Advanced options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 504 Structure as annotation . . . . . . . . . . . . . . . . . . . . . . . . . . . 507 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 504 24.2 View and edit secondary structures . . . . . . . . . . . . . . . . . . . . . . . 508 24.2.1 Graphical view and editing of secondary structure . . . . . . . . . . . . . 508 24.2.2 Tabular view of structures and energy contributions . . . . . . . . . . . . 511 24.2.3 Symbolic representation in sequence view . . . . . . . . . . . . . . . . . 514 24.2.4 Probability-based coloring . . . . . . . . . . . . . . . . . . . . . . . . . . 515 24.3 Evaluate structure hypothesis . . . . . . . . . . . . . . . . . . . . . . . . . . 515 24.3.1 Selecting sequences for evaluation . . . . . . . . . . . . . . . . . . . . . 516 24.3.2 Probabilities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 517 24.4 Structure Scanning Plot . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 518 24.4.1 Selecting sequences for scanning . . . . . . . . . . . . . . . . . . . . . 518 24.4.2 The structure scanning result . . . . . . . . . . . . . . . . . . . . . . . . 519 24.5 Bioinformatics explained: RNA structure prediction by minimum free energy minimization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 520 24.5.1 The algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 521 24.5.2 Structure elements and their energy contribution . . . . . . . . . . . . . 523 Ribonucleic acid (RNA) is a nucleic acid polymer that plays several important roles in the cell. As for proteins, the three dimensional shape of an RNA molecule is important for its molecular function. A number of tertiary RNA structures are know from crystallography but de novo prediction of tertiary structures is not possible with current methods. However, as for proteins RNA tertiary structures can be characterized by secondary structural elements which are hydrogen bonds within the molecule that form several recognizable "domains" of secondary structure like stems, hairpin loops, bulges and internal loops. A large part of the functional information is thus 501
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