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. 2013 Oct 12;69(Pt 11):2174–2185. doi: 10.1107/S0907444913013218

Table 1. Different MR strategies for nucleic acids of different lengths.

  Short Medium Long
Size (nt) <30–40 40–200 >200
Typical secondary/tertiary structure Hairpins Combinations of hairpins Complex tertiary structures
Availability of experimental models (%) 83.5 13.1 3.4
Identification of structural homologues Based on size, independently of sequence By structure-similarity algorithm (sequence covariation) By structure-similarity algorithm (sequence covariation)
Strategies to improve MR success Generally unnecessary Pruning bases/bases and sugars Pruning bases/bases and sugars
    Deletion of loops and junctions Using only selected domains
      Supporting the MR search using preliminary experimental phases
Limitations of MR using experimental models Internal helical symmetry R.m.s.d. up to 2–3 Å R.m.s.d. up to 2–3 Å
Reference models in the absence of experimental data Ideal helices modeled manually Combinations of ideal helices modeled manually or Combinations of ideal helices modeled manually (rare) or
    Three-dimensional motifs modeled de novo or Three-dimensional motifs modeled de novo or
    Homology models Homology models
Limitations of MR using in silico designed models Internal helical symmetry Difficulty in assigning small helical domains Difficulty in assigning small helical domains
    R.m.s.d. up to 1–1.5 Å R.m.s.d. up to 1–1.5 Å
References Baikalov & Dickerson (1998) Scott (2012) Humphris-Narayanan & Pyle (2012), Marcia & Pyle (2012) and this work

Indicates the percentage of X-ray structures of nucleic acids of the corresponding size (statistics drawn from the PDB on 19 February 2013).

Root-mean-square deviation between the MR search model and the target structure.