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我是一名生物学研究生，在过去的几个月里，我自学了非常有限的 python 来处理我拥有的一些数据。我不是在寻求家庭作业帮助，这是一个研究项目。

使用此代码，我打算获取一个称为序列的字符串的一部分，介于：找到“蛋白质翻译”的起始位点或ATG的第一次出现（生物术语是起始密码子），然后是TAA的第一次出现（终止密码子）。

然后，该函数translate_dna()应该为字符串中的每三个字母交换字典值。变量 CDS 正确存在，但是对于，或者如果我的函数中的循环不起作用:(。有什么建议吗？输入文件的格式如下：

>gnl|GNOMON|230560476.m Model predicted by Gnomon on Homo sapiens unplaced genomic scaffold, alternate assembly HuRef DEGEN_1103279082069, whole genome shotgun sequence (NW_001841731.1)
CCCCAGTAGCTGGGATTACAGGTTATCCAAGGACATGGAAAAGCCAACACCATGGTAGCATTAATGAAAG
TTTACCAAGAGGAAGATGAAGCCTACCAGGAATTAGTTACCATGGCAACCATGTTTTTCCAGTACTTACT
GCAGCCATTTAGGGCTATGCGAGAAGTTGCAACTTTATGTAAGCTTGAT

>gnl|GNOMON|230560472.m Model predicted by Gnomon on Homo sapiens unplaced genomic scaffold, alternate assembly HuRef DEGEN_1103279082069, whole genome shotgun sequence (NW_001841731.1)
GCCGGCGTTTGACCGCGCTTGGGTGGCCTGGGACCCTGTGGGAGGCTTCCCCGGCGCCGAGAGCCCTGGC
TGACGGCTGATGGGGAGGAGCCGGCGGGCGGAGAAGGCCACGGGCTCCCCAGTACCCTCACCTGCGCGGG
ATCGCTGCGGGAAACCAGGGGGAGCTTCGGCAGGGCCTGCAGAGAGGACAAGCGAAGTTAAGAGCCTAGT
GTACTTGCCGCTGGGAGCTGGGCTAGGCCCCCAACCTTTGCCCTGAAGATGCTGGCAGAGCAGGATGTTG
TAACGGGAAATGTCAGAAATACTGCAAGCAAACTGAAAACAACCCATCCATGTAGGAAAGAATAACACGG
ACTACACACTATGAGGAAACCACAGGGGAGTTTCAGGCCAGTCAGCTTTTGATCTTCAACTTTATAACTT
TCACCTTAGGATATGACGAGCCCACCGGAGTTTCAAAAATGGTATCATTTTGTATCAGGCTTGTTTTTTA
CACTCTTGGTTTCTCACAGAGATAGGTGGTTTCTCCTTAAAATCGAACATTTATATGATGCATTTTACTG
TAGTTACTATCAGAAAAGTTAGTTTTCCCAAATTTAAGTTCACTCTGGGGTACTATAGCGTGAATGTAGT
TCATTCTGTTGAGCTAGTTGTTCATGTTAGTGTAGTTCACATATTTATCTGGAACTCAAAAATGAGGGGT
TGAGAGGGGAAGCTAAAATTCAAAACATGTCCAAATATATAATTTTAATATTTTACTTTATATTTAAAAT
AGAAAAGCAATTGATTCTAGAATTAGACTAATTGCTAGCATTGCTAGGATATATAAAATGAAGCTGAATG
TTTTAACTCTGGAATTTTTCTGAATAGTCTAAGAAATAAGGCTGAAGTGTATCACTTGCCTTAAGTTTAC
TTTTGCGTGTGTGTTTTAATTTTGTTCAGTGGGGCTTTCACTTAAAAAAAAAACCATAATATTATTACCT
GGATAAAAAATACAGCTGAAAGTAGATCACTTTATCTTTAAGCAGAAGGATGGAAATAGAAGAATTTTAA
GAATGTATTGGTTGAAAAACATCTATATTATTTTATTTTTATTTCTCTTCTTGTGGGAGTAAAATAATTT
CCAACCAAATCAGTCCACCTAGATTATACACTGTTCAGTTTGTTTTCTGCCCTGCAGCACAAGCAATAAC
CAGCAGAGACTGGAACCACAGCTGAGGCTCTGTAAATGAGTTGACTGCTAAGGACTTCATGGGGATATTA
ACCTGGGGCATTAAGAGAATCAACATGCTAAAGTACTTGGAGACAGCTCTGTAATGTTTTATGAGGTTTT
TTGTTTTTTTTTTTTGAGACAGAGTCTTGCACTGTCGCCCAGGCTGG

代码：

from sys import argv
script, filename = argv

def translate_dna(sequence):

    codontable = {
    'ATA':'I', 'ATC':'I', 'ATT':'I', 'ATG':'M',
    'ACA':'T', 'ACC':'T', 'ACG':'T', 'ACT':'T',
    'AAC':'N', 'AAT':'N', 'AAA':'K', 'AAG':'K',
    'AGC':'S', 'AGT':'S', 'AGA':'R', 'AGG':'R',
    'CTA':'L', 'CTC':'L', 'CTG':'L', 'CTT':'L',
    'CCA':'P', 'CCC':'P', 'CCG':'P', 'CCT':'P',
    'CAC':'H', 'CAT':'H', 'CAA':'Q', 'CAG':'Q',
    'CGA':'R', 'CGC':'R', 'CGG':'R', 'CGT':'R',
    'GTA':'V', 'GTC':'V', 'GTG':'V', 'GTT':'V',
    'GCA':'A', 'GCC':'A', 'GCG':'A', 'GCT':'A',
    'GAC':'D', 'GAT':'D', 'GAA':'E', 'GAG':'E',
    'GGA':'G', 'GGC':'G', 'GGG':'G', 'GGT':'G',
    'TCA':'S', 'TCC':'S', 'TCG':'S', 'TCT':'S',
    'TTC':'F', 'TTT':'F', 'TTA':'L', 'TTG':'L',
    'TAC':'Y', 'TAT':'Y', 'TAA':'_', 'TAG':'_',
    'TGC':'C', 'TGT':'C', 'TGA':'_', 'TGG':'W',
    }
    proteinsequence = ''
    start = sequence.find('ATG')
    sequencestart = sequence[int(start):]
    stop = sequencestart.find('TAA')
    cds = str(sequencestart[:int(stop)+3])

    for n in range(0,len(cds),3):
        if cds[n:n+3] in codontable == True:
            proteinsequence += codontable[cds[n:n+3]]
            print proteinsequence
        sequence = ''


header = ''
sequence = ''
for line in open(filename):
    if line[0] == ">":
        if header != '':
            print header
            translate_dna(sequence)

        header = line.strip()
        sequence = ''
    else:
        sequence += line.strip()

print header 
translate_dna(sequence)
4

2 回答 2

8

你的问题源于这条线

if cds[n:n+3] in codontable == True

这总是评估为False，因此您永远不会附加到proteinsequence。== True像这样删除部分

if cds[n:n+3] in codontable

你会得到蛋白质序列。另外，请确保return proteinsequence在translate_dna().

于 2013-10-22T15:54:51.603 回答
2

您的代码中还有一个问题 - 当您使用时，stop = sequencestart.find('TAA')您不关心打开的阅读框。在下面的代码中，我将序列拆分为三元组并用于itertools.takewhile处理它，但也可以使用循环来完成：

from itertools import takewhile

def translate_dna(sequence, codontable, stop_codons = ('TAA', 'TGA', 'TAG')):       
    start = sequence.find('ATG')

    # Take sequence from the first start codon
    trimmed_sequence = sequence[start:]

    # Split it into triplets
    codons = [trimmed_sequence[i:i+3] for i in range(0, len(trimmed_sequence), 3)]
    print(len(codons))
    print(trimmed_sequence)
    print(codons)

    # Take all codons until first stop codon
    coding_sequence  =  takewhile(lambda x: x not in stop_codons and len(x) == 3 , codons)

    # Translate and join into string
    protein_sequence = ''.join([codontable[codon] for codon in coding_sequence])

    # This line assumes there is always stop codon in the sequence
    return "{0}_".format(protein_sequence)
于 2013-10-22T16:03:36.553 回答