2Dpfold.h File Reference
RNA Secondary Structure Prediction » Classified Dynamic Programming » Distance based partitioning of the Secondary Structure Space RNA Secondary Structure Prediction » | Computing Partition Functions and Pair Probabilities » Calculate Partition Functions of a Distance Based Partitioning
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## Data Structures

struct | vrna_sol_TwoD_pf_t
| Solution element returned from vrna_pf_TwoD() More...
struct | TwoDpfold_vars
| Variables compound for 2Dfold partition function folding. More...

## Typedefs

typedef struct vrna_sol_TwoD_pf_t | vrna_sol_TwoD_pf_t
| Solution element returned from vrna_pf_TwoD() More...

## Functions

vrna_sol_TwoD_pf_t * | vrna_pf_TwoD (vrna_fold_compound_t *vc, int maxDistance1, int maxDistance2)
| Compute the partition function for all distance classes. More...
char * | vrna_pbacktrack_TwoD (vrna_fold_compound_t *vc, int d1, int d2)
| Sample secondary structure representatives from a set of distance classes according to their Boltzmann probability. More...
char * | vrna_pbacktrack5_TwoD (vrna_fold_compound_t *vc, int d1, int d2, unsigned int length)
| Sample secondary structure representatives with a specified length from a set of distance classes according to their Boltzmann probability. More...
TwoDpfold_vars * | get_TwoDpfold_variables (const char *seq, const char *structure1, char *structure2, int circ)
| Get a datastructure containing all necessary attributes and global folding switches. More...
void | destroy_TwoDpfold_variables (TwoDpfold_vars *vars)
| Free all memory occupied by a TwoDpfold_vars datastructure. More...
vrna_sol_TwoD_pf_t * | TwoDpfoldList (TwoDpfold_vars *vars, int maxDistance1, int maxDistance2)
| Compute the partition function for all distance classes. More...
char * | TwoDpfold_pbacktrack (TwoDpfold_vars *vars, int d1, int d2)
| Sample secondary structure representatives from a set of distance classes according to their Boltzmann probability. More...
char * | TwoDpfold_pbacktrack5 (TwoDpfold_vars *vars, int d1, int d2, unsigned int length)
| Sample secondary structure representatives with a specified length from a set of distance classes according to their Boltzmann probability. More...

## Function Documentation

TwoDpfold_vars* get_TwoDpfold_variables | ( | const char * | seq,
|  | const char * | structure1,
|  | char * | structure2,
|  | int | circ
| ) |  |

Get a datastructure containing all necessary attributes and global folding switches.

This function prepares all necessary attributes and matrices etc which are needed for a call of TwoDpfold() . A snapshot of all current global model switches (dangles, temperature and so on) is done and stored in the returned datastructure. Additionally, all matrices that will hold the partition function values are prepared.

Deprecated:
  Use the new API that relies on vrna_fold_compound_t and the corresponding functions vrna_fold_compound_TwoD(), vrna_pf_TwoD(), and vrna_fold_compound_free() instead!

Parameters

  seq | the RNA sequence in uppercase format with letters from the alphabet {AUCG}
  structure1 | the first reference structure in dot-bracket notation
  structure2 | the second reference structure in dot-bracket notation
  circ | a switch indicating if the sequence is linear (0) or circular (1)

Returns
  the datastructure containing all necessary partition function attributes

void destroy_TwoDpfold_variables | ( | TwoDpfold_vars * | vars | ) |

Free all memory occupied by a TwoDpfold_vars datastructure.

This function free's all memory occupied by a datastructure obtained from from get_TwoDpfold_variabless() or get_TwoDpfold_variables_from_MFE()

Deprecated:
  Use the new API that relies on vrna_fold_compound_t and the corresponding functions vrna_fold_compound_TwoD(), vrna_pf_TwoD(), and vrna_fold_compound_free() instead!

See also
  get_TwoDpfold_variables(), get_TwoDpfold_variables_from_MFE()

Parameters

  vars | the datastructure to be free'd

vrna_sol_TwoD_pf_t* TwoDpfoldList | ( | TwoDpfold_vars * | vars,
|  | int | maxDistance1,
|  | int | maxDistance2
| ) |  |

Compute the partition function for all distance classes.

This function computes the partition functions for all distance classes according the two reference structures specified in the datastructure 'vars'. Similar to TwoDfold() the arguments maxDistance1 and maxDistance2 specify the maximum distance to both reference structures. A value of '-1' in either of them makes the appropriate distance restrictionless, i.e. all basepair distancies to the reference are taken into account during computation. In case there is a restriction, the returned solution contains an entry where the attribute k=l=-1 contains the partition function for all structures exceeding the restriction. A values of INF in the attribute 'k' of the returned list denotes the end of the list

Deprecated:
  Use the new API that relies on vrna_fold_compound_t and the corresponding functions vrna_fold_compound_TwoD(), vrna_pf_TwoD(), and vrna_fold_compound_free() instead!

See also
  get_TwoDpfold_variables(), destroy_TwoDpfold_variables(), vrna_sol_TwoD_pf_t

Parameters

  vars | the datastructure containing all necessary folding attributes and matrices
  maxDistance1 | the maximum basepair distance to reference1 (may be -1)
  maxDistance2 | the maximum basepair distance to reference2 (may be -1)

Returns
  a list of partition funtions for the appropriate distance classes

char* TwoDpfold_pbacktrack | ( | TwoDpfold_vars * | vars,
|  | int | d1,
|  | int | d2
| ) |  |

Sample secondary structure representatives from a set of distance classes according to their Boltzmann probability.

If the argument 'd1' is set to '-1', the structure will be backtracked in the distance class where all structures exceeding the maximum basepair distance to either of the references reside.

Precondition
  The argument 'vars' must contain precalculated partition function matrices, i.e. a call to TwoDpfold() preceding this function is mandatory!

Deprecated:
  Use the new API that relies on vrna_fold_compound_t and the corresponding functions vrna_fold_compound_TwoD(), vrna_pf_TwoD(), vrna_pbacktrack_TwoD(), and vrna_fold_compound_free() instead!

See also
  TwoDpfold()

Parameters

  [in] | vars | the datastructure containing all necessary folding attributes and matrices
  [in] | d1 | the distance to reference1 (may be -1)
  [in] | d2 | the distance to reference2

Returns
  A sampled secondary structure in dot-bracket notation

char* TwoDpfold_pbacktrack5 | ( | TwoDpfold_vars * | vars,
|  | int | d1,
|  | int | d2,
|  | unsigned int | length
| ) |  |

Sample secondary structure representatives with a specified length from a set of distance classes according to their Boltzmann probability.

This function does essentially the same as TwoDpfold_pbacktrack() with the only difference that partial structures, i.e. structures beginning from the 5' end with a specified length of the sequence, are backtracked

Note
  This function does not work (since it makes no sense) for circular RNA sequences!

Precondition
  The argument 'vars' must contain precalculated partition function matrices, i.e. a call to TwoDpfold() preceding this function is mandatory!

Deprecated:
  Use the new API that relies on vrna_fold_compound_t and the corresponding functions vrna_fold_compound_TwoD(), vrna_pf_TwoD(), vrna_pbacktrack5_TwoD(), and vrna_fold_compound_free() instead!

See also
  TwoDpfold_pbacktrack(), TwoDpfold()

Parameters

  [in] | vars | the datastructure containing all necessary folding attributes and matrices
  [in] | d1 | the distance to reference1 (may be -1)
  [in] | d2 | the distance to reference2
  [in] | length | the length of the structure beginning from the 5' end

Returns
  A sampled secondary structure in dot-bracket notation