-
Notifications
You must be signed in to change notification settings - Fork 1
/
Copy pathbenchmark_get_human_ecoli_peptides.py
67 lines (55 loc) · 2.24 KB
/
benchmark_get_human_ecoli_peptides.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
import os
from pyopenms import ProteaseDigestion, AASequence
os.chdir(r"G:\Dropbox\papers_Fengchao\msfragger_dia\script\results\benchmark")
digestion = ProteaseDigestion()
digestion.setEnzyme("Trypsin/P")
digestion.setMissedCleavages(2)
human_peptides = set()
ecoli_peptides = set()
organism = 0 # 1 = human, 2 = ecoli
for line in open("2022-02-18-reviewed-UP000005640-UP000000625.fas").readlines():
if line.startswith(">"):
if "OS=Homo sapiens" in line:
organism = 1
elif "OS=Escherichia coli (strain K12)" in line:
organism = 2
else:
print("There is a protein without organism information: " + line)
exit(1)
continue
result = []
digestion.digest(AASequence.fromString(line), result, 7, 50)
if line.startswith("M"):
result2 = []
digestion.digest(AASequence.fromString(line[1:]), result2, 7, 50)
result.extend(result2)
if organism == 1:
for peptide in result:
human_peptides.add(peptide.toString())
elif organism == 2:
for peptide in result:
ecoli_peptides.add(peptide.toString())
overlap = ecoli_peptides.intersection(human_peptides)
with open("human_ecoli_overlap_peptides.txt", "w") as f:
for s in overlap:
f.write(s + "\n")
print("Human peptides: " + str(len(human_peptides)))
print("E. coli peptides: " + str(len(ecoli_peptides)))
print("Overlapping peptides: " + str(len(overlap)))
print("Done!")