Biopython序列发卡结构可视化
时间: 2023-05-30 19:04:52 浏览: 338
Biopython提供了许多可视化序列和结构的工具,包括PDB文件解析器、蛋白质结构可视化、序列比对、序列Logo图等。下面介绍如何使用Biopython可视化PDB文件中的蛋白质序列和结构。
1. 安装Biopython
Biopython可以通过pip安装,在命令行中输入以下命令:
```
pip install biopython
```
2. 下载PDB文件
可以从PDB数据库中下载PDB文件,也可以使用Biopython中的PDB模块下载。这里以下载PDB ID为1TIM的文件为例:
```python
from Bio.PDB import PDBList
pdbl = PDBList()
pdbl.retrieve_pdb_file('1TIM')
```
3. 解析PDB文件
使用Biopython中的PDB模块解析PDB文件,并提取蛋白质序列和结构信息:
```python
from Bio.PDB import PDBParser
parser = PDBParser()
structure = parser.get_structure('1TIM', '1tim.pdb')
# 提取第一个模型的第一个链的序列
chain_id = 'A'
chain = structure[0][chain_id]
sequence = ''
for residue in chain:
if residue.get_resname() == 'HOH': # 去除水分子
continue
sequence += residue.get_resname()
print(f'{chain_id} sequence: {sequence}')
# 提取第一个模型的结构信息
model = structure[0]
atoms = []
for chain in model:
for residue in chain:
if residue.get_resname() == 'HOH': # 去除水分子
continue
for atom in residue:
atoms.append(atom)
print(f'{len(atoms)} atoms in the structure')
```
4. 可视化蛋白质结构
使用Biopython中的PDB模块和Matplotlib模块可视化蛋白质结构:
```python
from Bio.PDB import PDBIO, Select
from matplotlib import pyplot as plt
class ChainSelector(Select):
def __init__(self, chain_id):
self.chain_id = chain_id
def accept_chain(self, chain):
if chain.get_id() == self.chain_id:
return 1
else:
return 0
# 提取第一个模型的第一个链的结构信息
chain_id = 'A'
chain = structure[0][chain_id]
atoms = []
for residue in chain:
if residue.get_resname() == 'HOH': # 去除水分子
continue
for atom in residue:
atoms.append(atom)
# 可视化结构
fig = plt.figure(figsize=(8, 8))
ax = fig.add_subplot(111, projection='3d')
ax.set_title(f'Chain {chain_id}')
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')
io = PDBIO()
io.set_structure(chain)
io.save(f'chain_{chain_id}.pdb')
pdb_file = f'chain_{chain_id}.pdb'
io = PDBIO()
io.set_structure(chain)
io.save(pdb_file, ChainSelector(chain_id))
from Bio.PDB.PDBIO import Select
from Bio.PDB.PDBParser import PDBParser
from Bio.PDB.Structure import Structure
from Bio.PDB.Residue import Residue
from Bio.PDB.Atom import Atom
class ChainSelector(Select):
def __init__(self, chain_id):
self.chain_id = chain_id
def accept_chain(self, chain):
if chain.get_id() == self.chain_id:
return 1
else:
return 0
parser = PDBParser()
structure = parser.get_structure('1TIM', pdb_file)
# 提取第一个模型的第一个链的结构信息
chain_id = 'A'
chain = structure[0][chain_id]
atoms = []
for residue in chain:
if residue.get_resname() == 'HOH': # 去除水分子
continue
for atom in residue:
atoms.append(atom)
# 可视化结构
fig = plt.figure(figsize=(8, 8))
ax = fig.add_subplot(111, projection='3d')
ax.set_title(f'Chain {chain_id}')
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')
for atom in atoms:
ax.scatter(atom.get_coord()[0], atom.get_coord()[1], atom.get_coord()[2])
plt.show()
```
运行以上代码,即可生成一个3D图形,显示蛋白质的结构。
阅读全文