RDKit | 可视化重要片段
【摘要】
1. 导入依赖库
from matplotlib.pyplot import figure, imshow, axisfrom rdkit import Chemfrom rdkit.Chem import AllChemfrom rdkit import DataStructsimport numpy as npfrom sklearn.metrics i...
1. 导入依赖库
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from matplotlib.pyplot import figure, imshow, axis
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from rdkit import Chem
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from rdkit.Chem import AllChem
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from rdkit import DataStructs
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import numpy as np
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from sklearn.metrics import mean_squared_error
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from sklearn.metrics import r2_score
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from math import sqrt
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from sklearn.ensemble import RandomForestRegressor
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from sklearn.model_selection import train_test_split
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from math import log10
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from rdkit.Chem.Draw import IPythonConsole
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from rdkit.Chem import Draw
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from IPython.display import display, Markdown, HTML
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%matplotlib inline
2. 载入数据
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#load sdf file
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data = "CHEMBL952131_EGFR.sdf"
3. 定义描述符计算函数
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def sdf_to_desc(data):
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fps = []
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targets = []
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n
文章来源: drugai.blog.csdn.net,作者:DrugAI,版权归原作者所有,如需转载,请联系作者。
原文链接:drugai.blog.csdn.net/article/details/100802064
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