#list of files that contain L vs RSA data
data = []
#list of sequences with missing RSA values
bad_list = []
#Get all the RSA values using DSSP
seq_data = af.get_noah_RSA_values(pdb_id, chain_id)
RSA = seq_data[1] #Get the RSA values
RSA_dict = seq_data[2] #Get the dict mapping positions to RSA
new_RSA = af.get_cut_RSA_values(pdb_id, RSA, RSA_dict)
index = 0
#Arrays full of the designed and natural sequences
natural_data_arr = cut_natural_sequences
designed_data_arr = af.get_cut_designed_sequences(designed_file)
fpW_natural = open("results_array_natural_" + pdb_id + "_" + chain_id + ".csv","w")
fpW_designed = open("results_array_" + pdb_id + "_" + chain_id + "_" + "soft" + ".csv","w")
#write the RSA values:
fpW_natural.write(af.dump_csv_line(new_RSA))
fpW_designed.write(af.dump_csv_line(new_RSA))
if(len(new_RSA) != len(natural_data_arr[0].strip())):
print "Error !!!!!!!!!"
#print data_arr[0].strip()
bad_list.append(natural_pdb_file_title)
if(len(new_RSA) != len(natural_data_arr[0].strip())):
print "Error !!!!!!!!!"
#list of files that contain L vs RSA data
data = []
#list of sequences with missing RSA values
bad_list = []
#Get all the RSA values using DSSP
seq_data = af.get_noah_RSA_values(pdb_id, chain_id)
RSAValues = []
RSA = seq_data[1]
RSA_dict = seq_data[2]
new_RSA = af.get_cut_RSA_values(pdb_id, RSA, RSA_dict) #Gets the RSA values that correspond to the correct residues
index = 0
natural_data_arr = cut_natural_sequences
designed_data_arr = af.get_cut_designed_sequences(designed_file) #Gets the correct designed residues
#filepointer for the partial result
fpW_natural = open("results_array_natural_" + pdb_id + "_" + chain_id + ".csv","w")
fpW_designed = open("results_array_" + pdb_id + "_" + chain_id + "_" + temp + ".csv","w")
#write the RSA values:
fpW_natural.write(af.dump_csv_line(new_RSA))
fpW_designed.write(af.dump_csv_line(new_RSA))
if(len(new_RSA) != len(natural_data_arr[0].strip())):
print "Error !!!!!!!!!"
#print data_arr[0].strip()
bad_list.append(natural_pdb_file_title)
if(len(new_RSA) != len(natural_data_arr[0].strip())):
