UNAFold: software for nucleic acid folding and hybridization.

The UNAFold software package is an integrated collection of programs that simulate folding, hybridization, and melting pathways for one or two single-stranded nucleic acid sequences. The name is derived from "Unified Nucleic Acid Folding." Folding (secondary structure) prediction for single-stranded RNA or DNA combines free energy minimization, partition function calculations and stochastic sampling. For melting simulations, the package computes entire melting profiles, not just melting temperatures. UV absorbance at 260 nm, heat capacity change (C(p)), and mole fractions of different molecular species are computed as a function of temperature. The package installs and runs on all Unix and Linux platforms that we have looked at, including Mac OS X. Images of secondary structures, hybridizations, and dot plots may be computed using common formats. Similarly, a variety of melting profile plots is created when appropriate. These latter plots include experimental results if they are provided. The package is "command line" driven. Underlying compiled programs may be used individually, or in special combinations through the use of a variety of Perl scripts. Users are encouraged to create their own scripts to supplement what comes with the package. This evolving software is available for download at http://www.bioinfo.rpi.edu/applications/hybrid/download.php .

[1]  C. Lawrence,et al.  A statistical sampling algorithm for RNA secondary structure prediction. , 2003, Nucleic acids research.

[2]  J. SantaLucia,et al.  A unified view of polymer, dumbbell, and oligonucleotide DNA nearest-neighbor thermodynamics. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[3]  Michael Zuker,et al.  Mfold web server for nucleic acid folding and hybridization prediction , 2003, Nucleic Acids Res..

[4]  R. Bellman Dynamic programming. , 1957, Science.

[5]  K. Umesono,et al.  Comparative and functional anatomy of group II catalytic introns--a review. , 1989, Gene.

[6]  J. Sabina,et al.  Expanded sequence dependence of thermodynamic parameters improves prediction of RNA secondary structure. , 1999, Journal of molecular biology.

[7]  G. Hausner,et al.  Coevolution of group II intron RNA structures with their intron-encoded reverse transcriptases. , 2001, RNA.

[8]  J. SantaLucia,et al.  The thermodynamics of DNA structural motifs. , 2004, Annual review of biophysics and biomolecular structure.

[9]  M. Waterman,et al.  RNA secondary structure: a complete mathematical analysis , 1978 .

[10]  D. Hammer,et al.  Competitive hybridization kinetics reveals unexpected behavior patterns. , 2005, Biophysical journal.

[11]  David Sankoff,et al.  Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparison , 1983 .

[12]  Walter Fontana,et al.  Fast folding and comparison of RNA secondary structures , 1994 .

[13]  Sanjay Tyagi,et al.  Molecular Beacons: Probes that Fluoresce upon Hybridization , 1996, Nature Biotechnology.

[14]  Mark J. Kilgard,et al.  OpenGL programming for the X Window system(日本語版) , 1996 .

[15]  M. Zuker Prediction of RNA secondary structure by energy minimization. , 1994, Methods in molecular biology.

[16]  I. Tinoco,et al.  Absorbance melting curves of RNA. , 1989, Methods in enzymology.

[17]  Ivo L. Hofacker,et al.  Vienna RNA secondary structure server , 2003, Nucleic Acids Res..

[18]  M. Zuker,et al.  Structural plasticity in RNA and its role in the regulation of protein translation in coliphage Q beta. , 1998, Journal of molecular biology.

[19]  Ye Ding,et al.  Sfold web server for statistical folding and rational design of nucleic acids , 2004, Nucleic Acids Res..

[20]  P. Schuster,et al.  Complete suboptimal folding of RNA and the stability of secondary structures. , 1999, Biopolymers.

[21]  C. Lawrence,et al.  Statistical prediction of single-stranded regions in RNA secondary structure and application to predicting effective antisense target sites and beyond. , 2001, Nucleic acids research.

[22]  Michael Zuker,et al.  Algorithms and Thermodynamics for RNA Secondary Structure Prediction: A Practical Guide , 1999 .

[23]  Rupert De Wachter,et al.  RnaViz 2: an improved representation of RNA secondary structure , 2003, Bioinform..

[24]  M. Waterman Secondary Structure of Single-Stranded Nucleic Acidst , 1978 .

[25]  Steven Zimmerly,et al.  Compilation and analysis of group II intron insertions in bacterial genomes: evidence for retroelement behavior. , 2002, Nucleic acids research.

[26]  Michael Zuker,et al.  Optimal computer folding of large RNA sequences using thermodynamics and auxiliary information , 1981, Nucleic Acids Res..

[27]  M. Zuker,et al.  Using reliability information to annotate RNA secondary structures. , 1998, RNA.

[28]  Michael Zuker,et al.  DINAMelt web server for nucleic acid melting prediction , 2005, Nucleic Acids Res..

[29]  D. Mathews Using an RNA secondary structure partition function to determine confidence in base pairs predicted by free energy minimization. , 2004, RNA.

[30]  A. E. Walter,et al.  Coaxial stacking of helixes enhances binding of oligoribonucleotides and improves predictions of RNA folding. , 1994, Proceedings of the National Academy of Sciences of the United States of America.

[31]  J. SantaLucia,et al.  Thermodynamics and NMR of internal G.T mismatches in DNA. , 1997, Biochemistry.

[32]  Rupert De Wachter,et al.  RnaViz, a program for the visualisation of RNA secondary structure , 1997 .

[33]  R Nussinov,et al.  Some rules in the ordering of nucleotides in the DNA. , 1980, Nucleic acids research.

[34]  James W. Brown,et al.  RNAML: a standard syntax for exchanging RNA information. , 2002, RNA.

[35]  H. Bosshard,et al.  Isothermal titration calorimetry and differential scanning calorimetry as complementary tools to investigate the energetics of biomolecular recognition , 1999, Journal of molecular recognition : JMR.

[36]  J. McCaskill The equilibrium partition function and base pair binding probabilities for RNA secondary structure , 1990, Biopolymers.