def recursive_pk(pk_core_dic, seq, array_traceback, array_traceback_positive):
""" Function: recursive_pk()
Purpose: Given core pseudoknot dictionary and secondary structure dictionaries,
calculate set of recursive elements in the three loops with MWIS
calculation.
Input: Core pseudoknot dictionary and secondary structure dictionaries.
Return: Recursive pseudoknot dictionary.
"""
for pk in pk_core_dic:
result1, result2, result3 = [], [], []
loop1_start = pk[2] + pk[4]
loop1_end = pk[5] - 1
l1 = loop1_end - loop1_start + 1
loop2_start = pk[5] + pk[7]
loop2_end = pk[3] - pk[4]
l2 = loop2_end - loop2_start + 1
loop3_start = pk[3] + 1
loop3_end = pk[6] - pk[7]
l3 = loop3_end - loop3_start + 1
L1_key = loop1_start, loop1_end
L2_key = loop2_start, loop2_end
L3_key = loop3_start, loop3_end
energy_l1, result1, effective_l1 = array_traceback[L1_key[0]][L1_key[1]]
energy_l2, result2, effective_l2 = array_traceback[L2_key[0]][L2_key[1]]
energy_l3, result3, effective_l3 = array_traceback[L3_key[0]][L3_key[1]]
# Check for sterically infeasible configurations in loops L1 and L3
if l1 >= 9 and result1:
energy_l1, result1, effective_l1 = functions.steric_constraints(result1, L1_key, array_traceback)
if l3 >= 9 and result3:
energy_l3, result3, effective_l3 = functions.steric_constraints(result3, L3_key, array_traceback)
if not result1 and l1 >= 9:
energy_l1, result1, effective_l1 = array_traceback_positive[L1_key[0]][L1_key[1]]
if result1:
energy_l1, result1, effective_l1 = functions.steric_constraints(result1, L1_key, array_traceback_positive)
if not result2 and l2 >= 9:
energy_l2, result2, effective_l2 = array_traceback_positive[L2_key[0]][L2_key[1]]
if not result3 and l3 >= 9:
energy_l3, result3, effective_l3 = array_traceback_positive[L3_key[0]][L3_key[1]]
if result3:
energy_l3, result3, effective_l3 = functions.steric_constraints(result3, L3_key, array_traceback_positive)
pseudoknot_energy = pk_core_dic[pk]
pk_core_dic[pk] = pseudoknot_energy, result1, result2, result3
return pk_core_dic
def recursive_pk(pk_core_dic, seq, array_traceback, array_traceback_positive):
for pk in pk_core_dic:
result1, result2, result3 = [], [], []
loop1_start = pk[2] + pk[4]
loop1_end = pk[5] - 1
l1 = loop1_end - loop1_start + 1
loop2_start = pk[5] + pk[7]
loop2_end = pk[3] - pk[4]
l2 = loop2_end - loop2_start + 1
loop3_start = pk[3] + 1
loop3_end = pk[6] - pk[7]
l3 = loop3_end - loop3_start + 1
L1_key = loop1_start, loop1_end
L2_key = loop2_start, loop2_end
L3_key = loop3_start, loop3_end
energy_l1, result1, effective_l1 = array_traceback[L1_key[0]][L1_key[1]]
energy_l2, result2, effective_l2 = array_traceback[L2_key[0]][L2_key[1]]
energy_l3, result3, effective_l3 = array_traceback[L3_key[0]][L3_key[1]]
# Check for sterically infeasible configurations in loops L1 and L3
if l1 >= 9 and result1:
energy_l1, result1, effective_l1 = functions.steric_constraints(result1, L1_key, array_traceback)
if l3 >= 9 and result3:
energy_l3, result3, effective_l3 = functions.steric_constraints(result3, L3_key, array_traceback)
if not result1 and l1 >= 9:
energy_l1, result1, effective_l1 = array_traceback_positive[L1_key[0]][L1_key[1]]
if result1:
energy_l1, result1, effective_l1 = functions.steric_constraints(
result1, L1_key, array_traceback_positive
)
if not result2 and l2 >= 9:
energy_l2, result2, effective_l2 = array_traceback_positive[L2_key[0]][L2_key[1]]
if not result3 and l3 >= 9:
energy_l3, result3, effective_l3 = array_traceback_positive[L3_key[0]][L3_key[1]]
if result3:
energy_l3, result3, effective_l3 = functions.steric_constraints(
result3, L3_key, array_traceback_positive
)
pseudoknot_energy = pk_core_dic[pk]
pk_core_dic[pk] = pseudoknot_energy, result1, result2, result3
return pk_core_dic
def recursive_pk(pk_core_dic, seq, array_traceback, array_traceback_positive):
for pk in pk_core_dic:
result1, result2, result3 = [], [], []
loop1_start = pk[2] + pk[4]
loop1_end = pk[5] - 1
l1 = loop1_end - loop1_start + 1
loop2_start = pk[5] + pk[7]
loop2_end = pk[3] - pk[4]
l2 = loop2_end - loop2_start + 1
loop3_start = pk[3] + 1
loop3_end = pk[6] - pk[7]
l3 = loop3_end - loop3_start + 1
L1_key = loop1_start, loop1_end
L2_key = loop2_start, loop2_end
L3_key = loop3_start, loop3_end
energy_l1, result1, effective_l1 = array_traceback[L1_key[0]][L1_key[1]]
energy_l2, result2, effective_l2 = array_traceback[L2_key[0]][L2_key[1]]
energy_l3, result3, effective_l3 = array_traceback[L3_key[0]][L3_key[1]]
# Check for sterically infeasible configurations in loops L1 and L3
if l1 >= 9 and result1:
energy_l1, result1, effective_l1 = functions.steric_constraints(result1, L1_key, array_traceback)
if l3 >= 9 and result3:
energy_l3, result3, effective_l3 = functions.steric_constraints(result3, L3_key, array_traceback)
if not result1 and l1 >= 9:
energy_l1, result1, effective_l1 = array_traceback_positive[L1_key[0]][L1_key[1]]
if result1:
energy_l1, result1, effective_l1 = functions.steric_constraints(result1, L1_key, array_traceback_positive)
if not result2 and l2 >= 9:
energy_l2, result2, effective_l2 = array_traceback_positive[L2_key[0]][L2_key[1]]
if not result3 and l3 >= 9:
energy_l3, result3, effective_l3 = array_traceback_positive[L3_key[0]][L3_key[1]]
if result3:
energy_l3, result3, effective_l3 = functions.steric_constraints(result3, L3_key, array_traceback_positive)
pseudoknot_energy = pk_core_dic[pk]
pk_core_dic[pk] = pseudoknot_energy, result1, result2, result3
return pk_core_dic
def recursive_pk(pk_dic_ib, array_traceback, array_traceback_positive):
""" Function: recursive_pk()
Purpose: Given core pseudoknot dictionary where one of the stems is interrupted
and secondary structure dictionaries, calculate set of recursive
elements in the three loops with MWIS calculation.
Input: Core pseudoknot dictionary and secondary structure dictionaries.
Return: Recursive pseudoknot dictionary.
"""
for pk, values_pk in pk_dic_ib.items():
result1, result2, result3 = [], [], []
l1, l2, l3 = values_pk[1], values_pk[2], values_pk[3]
left, right = values_pk[5], values_pk[6]
marker = pk[8]
if marker == 'iS1':
# First Case, combine s_ib with normal stem s
# (((...((((.xxx...))))...)))........xxx
loop1_start = pk[0] + left + 1
loop1_end = pk[5] - 1
loop2_start = pk[5] + pk[7]
loop2_end = pk[0] + right - 1
loop3_start = pk[3] + 1
loop3_end = pk[6] - pk[7]
if marker == 'iS2':
# Second Case, combine normal stem s with s_ib
# xxx........(((...((((.xxx...))))...)))
loop1_start = pk[2] + pk[4]
loop1_end = pk[5] - 1
loop2_start = pk[5] + left + 1
loop2_end = pk[3] - pk[4]
loop3_start = pk[3] + 1
loop3_end = pk[5] + right - 1
L1_key = loop1_start, loop1_end
L2_key = loop2_start, loop2_end
L3_key = loop3_start, loop3_end
energy_l1, result1, effective_l1 = array_traceback[L1_key[0]][
L1_key[1]]
energy_l2, result2, effective_l2 = array_traceback[L2_key[0]][
L2_key[1]]
energy_l3, result3, effective_l3 = array_traceback[L3_key[0]][
L3_key[1]]
# Check for sterically infeasible configurations in loops L1 and L3
if l1 >= 9 and result1:
energy_l1, result1, effective_l1 = functions.steric_constraints(
result1, L1_key, array_traceback)
if l3 >= 9 and result3:
energy_l3, result3, effective_l3 = functions.steric_constraints(
result3, L3_key, array_traceback)
if not result1 and l1 >= 9:
energy_l1, result1, effective_l1 = array_traceback_positive[
L1_key[0]][L1_key[1]]
if result1:
energy_l1, result1, effective_l1 = functions.steric_constraints(
result1, L1_key, array_traceback_positive)
if not result3 and l3 >= 9:
energy_l3, result3, effective_l3 = array_traceback_positive[
L3_key[0]][L3_key[1]]
if result3:
energy_l3, result3, effective_l3 = functions.steric_constraints(
result3, L3_key, array_traceback_positive)
pseudoknot_energy = pk_dic_ib[pk]
pk_dic_ib[pk] = pseudoknot_energy, result1, result2, result3
return pk_dic_ib
def recursive_pk(pk_core_dic, seq, array_traceback, array_traceback_positive):
""" Function: recursive_pk()
Purpose: Given core pseudoknot dictionary and secondary structure dictionaries,
calculate set of recursive elements in the three loops with MWIS
calculation.
Input: Core pseudoknot dictionary and secondary structure dictionaries.
Return: Recursive pseudoknot dictionary.
"""
for pk in pk_core_dic:
result1, result2, result3 = [], [], []
loop1_start = pk[2] + pk[4]
loop1_end = pk[5] - 1
l1 = loop1_end - loop1_start + 1
loop2_start = pk[5] + pk[7]
loop2_end = pk[3] - pk[4]
l2 = loop2_end - loop2_start + 1
loop3_start = pk[3] + 1
loop3_end = pk[6] - pk[7]
l3 = loop3_end - loop3_start + 1
L1_key = loop1_start, loop1_end
L2_key = loop2_start, loop2_end
L3_key = loop3_start, loop3_end
energy_l1, result1, effective_l1 = array_traceback[L1_key[0]][
L1_key[1]]
energy_l2, result2, effective_l2 = array_traceback[L2_key[0]][
L2_key[1]]
energy_l3, result3, effective_l3 = array_traceback[L3_key[0]][
L3_key[1]]
# Check for sterically infeasible configurations in loops L1 and L3
if l1 >= 9 and result1:
energy_l1, result1, effective_l1 = functions.steric_constraints(
result1, L1_key, array_traceback)
if l3 >= 9 and result3:
energy_l3, result3, effective_l3 = functions.steric_constraints(
result3, L3_key, array_traceback)
if not result1 and l1 >= 9:
energy_l1, result1, effective_l1 = array_traceback_positive[
L1_key[0]][L1_key[1]]
if result1:
energy_l1, result1, effective_l1 = functions.steric_constraints(
result1, L1_key, array_traceback_positive)
if not result2 and l2 >= 9:
energy_l2, result2, effective_l2 = array_traceback_positive[
L2_key[0]][L2_key[1]]
if not result3 and l3 >= 9:
energy_l3, result3, effective_l3 = array_traceback_positive[
L3_key[0]][L3_key[1]]
if result3:
energy_l3, result3, effective_l3 = functions.steric_constraints(
result3, L3_key, array_traceback_positive)
pseudoknot_energy = pk_core_dic[pk]
pk_core_dic[pk] = pseudoknot_energy, result1, result2, result3
return pk_core_dic
def recursive_pk(pk_dic_ib, array_traceback, array_traceback_positive):
""" Function: recursive_pk()
Purpose: Given core pseudoknot dictionary where one of the stems is interrupted
and secondary structure dictionaries, calculate set of recursive
elements in the three loops with MWIS calculation.
Input: Core pseudoknot dictionary and secondary structure dictionaries.
Return: Recursive pseudoknot dictionary.
"""
for pk, values_pk in pk_dic_ib.items():
result1, result2, result3 = [], [], []
l1, l2, l3 = values_pk[1], values_pk[2], values_pk[3]
left, right = values_pk[5], values_pk[6]
marker = pk[8]
if marker == 'iS1':
# First Case, combine s_ib with normal stem s
# (((...((((.xxx...))))...)))........xxx
loop1_start = pk[0] + left + 1
loop1_end = pk[5] - 1
loop2_start = pk[5] + pk[7]
loop2_end = pk[0] + right - 1
loop3_start = pk[3] + 1
loop3_end = pk[6] - pk[7]
if marker == 'iS2':
# Second Case, combine normal stem s with s_ib
# xxx........(((...((((.xxx...))))...)))
loop1_start = pk[2] + pk[4]
loop1_end = pk[5] - 1
loop2_start = pk[5] + left + 1
loop2_end = pk[3] - pk[4]
loop3_start = pk[3] + 1
loop3_end = pk[5] + right -1
L1_key = loop1_start, loop1_end
L2_key = loop2_start, loop2_end
L3_key = loop3_start, loop3_end
energy_l1, result1, effective_l1 = array_traceback[L1_key[0]][L1_key[1]]
energy_l2, result2, effective_l2 = array_traceback[L2_key[0]][L2_key[1]]
energy_l3, result3, effective_l3 = array_traceback[L3_key[0]][L3_key[1]]
# Check for sterically infeasible configurations in loops L1 and L3
if l1 >= 9 and result1:
energy_l1, result1, effective_l1 = functions.steric_constraints(result1, L1_key, array_traceback)
if l3 >= 9 and result3:
energy_l3, result3, effective_l3 = functions.steric_constraints(result3, L3_key, array_traceback)
if not result1 and l1 >= 9:
energy_l1, result1, effective_l1 = array_traceback_positive[L1_key[0]][L1_key[1]]
if result1:
energy_l1, result1, effective_l1 = functions.steric_constraints(result1, L1_key, array_traceback_positive)
if not result3 and l3 >= 9:
energy_l3, result3, effective_l3 = array_traceback_positive[L3_key[0]][L3_key[1]]
if result3:
energy_l3, result3, effective_l3 = functions.steric_constraints(result3, L3_key, array_traceback_positive)
pseudoknot_energy = pk_dic_ib[pk]
pk_dic_ib[pk] = pseudoknot_energy, result1, result2, result3
return pk_dic_ib
