I have trying to code the theoretical tryptic cleavage of protein sequences in Python. The cleavage rule for trypsin is: after R or K, but not before P. (i.e. the trypsin cleaves (cuts) the protein sequence after each K or R, unless (K or R) is followed by a P).
Example: Cleavage (cut) of the sequence MVPPPPSRGGAAKPGQLGRSLGPLLLLLRPEEPEDGDREICSESK
should result in these 4 sequences (peptides):
MVPPPPSR
GGAAKPGQLGR
SLGPLLLLLRPEEPEDGDR
EICSESK
Note that there is no cleavage after K in the second peptide (because P comes after K) and there is no cleavage after R in the third peptide (because P comes after R).
I have written this code in Python, but it doesn't work well. Is there any way to implement this regular expression more meaningfully?
# Open the file and read it line by line.
myprotein = open(raw_input('Enter input filename: '),'r')
if os.path.exists("trypsin_digest.txt"):
os.remove("trypsin_digest.txt")
outfile = open("trypsin_digest.txt",'w+')
for line in myprotein:
protein = line.rstrip()
protein = re.sub('(?<=[RK])(?=[^P])','', protein)
for peptide in protein:
outfile.write(peptide)
print 'results written to:\n', os.getcwd() +'\ trypsin_digest.txt'
This is how I got it to work for me
myprotein = open(raw_input('Enter input filename: '),'r')
my_protein = []
for protein in myprotein:
myprotein = protein.rstrip('\n')
my_protein.append(myprotein)
my_pro = (''.join(my_protein))
#cleaves sequence
peptides = re.sub(r'(?<=[RK])(?=[^P])','\n', my_pro)
print peptides
Protein Sequence:
MVPPPPSRGGAAKPGQLGRSLGPLLLLLRPEEPEDGDREICSESK MVPPPPSRGGAAKPGQLGRSLGPLLLLLRPEEPEDGDREICSESK MVPPPPSRGGAAKPGQLGRSLGPLLLLLRPEEPEDGDREICSESK
Output(trypsin cleaved sites) or peptides
MVPPPPSR
GGAAKPGQLGR SLGPLLLLLRPEEPEDGDR EICSESK MVPPPPSR GGAAKPGQLGR SLGPLLLLLRPEEPEDGDR EICSESK MVPPPPSR GGAAKPGQLGR SLGPLLLL开发者_开发知识库LRPEEPEDGDR EICSESKregexes are nice, but here's a solution that uses regular python. Since you're looking for subsequences in the bases, it makes sense to build this as a generator, which yields the fragments.
example = 'MVPPPPSRGGAAKPGQLGRSLGPLLLLLRPEEPEDGDREICSESK'
def trypsin(bases):
sub = ''
while bases:
k, r = bases.find('K'), bases.find('R')
cut = min(k, r)+1 if k > 0 and r > 0 else max(k, r)+1
sub += bases[:cut]
bases = bases[cut:]
if not bases or bases[0] != 'P':
yield sub
sub = ''
print list(trypsin(example))
EDIT With a slight modification your regex works well:
In your comment you mentioned you have multiple sequences in a file (let's call it sequences.dat):
$ cat sequences.dat
MVPPPPSRGGAAKPGQLGRSLGPLLLLLRPEEPEDGDREICSESK
MVPPPPSRGGAAKPGQLGRSLGPLLLLLRPEEPEDGDREICSESK
MVPPPPSRGGAAKPGQLGRSLGPLLLLLRPEEPEDGDREICSESK
>>> with open('sequences.dat') as f:
s = f.read()
>>> print(s)
MVPPPPSRGGAAKPGQLGRSLGPLLLLLRPEEPEDGDREICSESK
MVPPPPSRGGAAKPGQLGRSLGPLLLLLRPEEPEDGDREICSESK
MVPPPPSRGGAAKPGQLGRSLGPLLLLLRPEEPEDGDREICSESK
>>> protein = re.sub(r'(?<=[RK])(?=[^P])','\n', s, re.DOTALL)
>>> protein.split()
['MVPPPPSR', 'GGAAKPGQLGR', 'SLGPLLLLLRPEEPEDGDR', 'EICSESK', 'MVPPPPSR', 'GGAAKPGQLGR', 'SLGPLLLLLRPEEPEDGDR', 'EICSESK', 'MVPPPPSR', 'GGAAKPGQLGR', 'SLGPLLLLLRPEEPEDGDR', 'EICSESK']
>>> print protein
MVPPPPSR
GGAAKPGQLGR
SLGPLLLLLRPEEPEDGDR
EICSESK
MVPPPPSR
GGAAKPGQLGR
SLGPLLLLLRPEEPEDGDR
EICSESK
MVPPPPSR
GGAAKPGQLGR
SLGPLLLLLRPEEPEDGDR
EICSESK
I believe the following regexp will do as you have described:
([KR]?[^P].*?[KR](?!P))
Result below from pythonregexp
>>> regex = re.compile("([KR]?[^P].*?[KR](?!P))")
>>> r = regex.search(string)
>>> r
<_sre.SRE_Match object at 0xb1a9f49eb4111980>
>>> regex.match(string)
<_sre.SRE_Match object at 0xb1a9f49eb4102980>
# List the groups found
>>> r.groups()
(u'MVPPPPSR',)
# List the named dictionary objects found
>>> r.groupdict()
{}
# Run findall
>>> regex.findall(string)
[u'MVPPPPSR', u'GGAAKPGQLGR', u'SLGPLLLLLRPEEPEDGDR', u'EICSESK']
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