Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3473

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3473

deactivated ARFF Publicly available Visibility: public Uploaded 15-07-2016 by Noureddin Sadawi
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This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target ChEMBL_ID: CHEMBL3473 (TID: 10548), and it has 1100 rows and 135 features (not including molecule IDs and class feature: molecule_id and pXC50). The features represent Molecular Descriptors which were generated from SMILES strings. Missing value imputation was applied to this dataset (By choosing the Median). Feature selection was also applied.

137 features

pXC50 (target)numeric480 unique values
0 missing
molecule_id (row identifier)nominal1100 unique values
0 missing
HVcpxnumeric407 unique values
0 missing
DECCnumeric530 unique values
0 missing
CATS2D_07_DAnumeric7 unique values
0 missing
CATS2D_09_DLnumeric13 unique values
0 missing
Eig07_EA.ed.numeric604 unique values
0 missing
SM02_AEA.ri.numeric604 unique values
0 missing
P_VSA_LogP_6numeric57 unique values
0 missing
ICRnumeric354 unique values
0 missing
CATS2D_07_AAnumeric8 unique values
0 missing
ATSC6snumeric1051 unique values
0 missing
F.084numeric5 unique values
0 missing
X.numeric68 unique values
0 missing
Eig07_AEA.ed.numeric477 unique values
0 missing
CATS2D_06_DAnumeric7 unique values
0 missing
SIC4numeric154 unique values
0 missing
SAdonnumeric40 unique values
0 missing
N.numeric94 unique values
0 missing
IC2numeric652 unique values
0 missing
BIC1numeric210 unique values
0 missing
CATS2D_01_AAnumeric6 unique values
0 missing
ATSC4snumeric1040 unique values
0 missing
Eig11_EAnumeric368 unique values
0 missing
SM05_AEA.dm.numeric368 unique values
0 missing
SIC1numeric218 unique values
0 missing
NaasNnumeric3 unique values
0 missing
Eig11_AEA.ri.numeric431 unique values
0 missing
Eig11_EA.ri.numeric435 unique values
0 missing
CATS2D_09_LLnumeric31 unique values
0 missing
P_VSA_MR_2numeric178 unique values
0 missing
Eig08_AEA.ed.numeric494 unique values
0 missing
nArXnumeric5 unique values
0 missing
Eig01_AEA.bo.numeric290 unique values
0 missing
SpMax_AEA.bo.numeric290 unique values
0 missing
CATS2D_02_DDnumeric3 unique values
0 missing
TPSA.Tot.numeric296 unique values
0 missing
Yindexnumeric257 unique values
0 missing
H.051numeric8 unique values
0 missing
P_VSA_e_3numeric129 unique values
0 missing
Eig08_EA.ed.numeric592 unique values
0 missing
SM03_AEA.ri.numeric592 unique values
0 missing
Eig08_EA.bo.numeric461 unique values
0 missing
TPSA.NO.numeric284 unique values
0 missing
IC1numeric549 unique values
0 missing
NssNHnumeric7 unique values
0 missing
CIC2numeric633 unique values
0 missing
GATS4inumeric343 unique values
0 missing
SIC3numeric195 unique values
0 missing
Eig12_AEA.dm.numeric365 unique values
0 missing
IDDEnumeric332 unique values
0 missing
Eig10_AEA.dm.numeric473 unique values
0 missing
Eig11_AEA.dm.numeric426 unique values
0 missing
N.073numeric3 unique values
0 missing
Eta_Lnumeric890 unique values
0 missing
Eig06_AEA.bo.numeric448 unique values
0 missing
Eig07_AEA.dm.numeric552 unique values
0 missing
AECCnumeric594 unique values
0 missing
ATSC4enumeric598 unique values
0 missing
nHetnumeric14 unique values
0 missing
IACnumeric701 unique values
0 missing
TIC0numeric701 unique values
0 missing
SIC0numeric126 unique values
0 missing
P_VSA_s_5numeric29 unique values
0 missing
Eig06_AEA.ri.numeric511 unique values
0 missing
nCsnumeric13 unique values
0 missing
Eig06_AEA.dm.numeric500 unique values
0 missing
CIC3numeric540 unique values
0 missing
C.043numeric3 unique values
0 missing
Eig10_AEA.ri.numeric459 unique values
0 missing
H.054numeric3 unique values
0 missing
Eig11_AEA.ed.numeric414 unique values
0 missing
nNnumeric10 unique values
0 missing
BIC2numeric205 unique values
0 missing
Eig04_AEA.ri.numeric434 unique values
0 missing
JGI1numeric136 unique values
0 missing
ATSC3snumeric1034 unique values
0 missing
CIC1numeric608 unique values
0 missing
ATSC8snumeric1048 unique values
0 missing
Eig06_AEA.ed.numeric462 unique values
0 missing
X2solnumeric692 unique values
0 missing
CATS2D_06_AAnumeric8 unique values
0 missing
BIC3numeric173 unique values
0 missing
nCtnumeric6 unique values
0 missing
C.numeric123 unique values
0 missing
ATS1mnumeric429 unique values
0 missing
Eig08_EAnumeric443 unique values
0 missing
SM02_AEA.dm.numeric443 unique values
0 missing
ATSC3enumeric507 unique values
0 missing
BIC4numeric142 unique values
0 missing
Eig02_AEA.ed.numeric325 unique values
0 missing
P_VSA_s_4numeric362 unique values
0 missing
Eig04_EA.ri.numeric433 unique values
0 missing
JGI4numeric38 unique values
0 missing
SsCH3numeric562 unique values
0 missing
NsCH3numeric8 unique values
0 missing
MATS4mnumeric279 unique values
0 missing
C.039numeric3 unique values
0 missing
nHAccnumeric13 unique values
0 missing
SpDiam_AEA.bo.numeric328 unique values
0 missing
SAaccnumeric375 unique values
0 missing
P_VSA_s_3numeric640 unique values
0 missing
Eig01_EA.bo.numeric231 unique values
0 missing
SM11_AEA.ri.numeric231 unique values
0 missing
SpDiam_EA.bo.numeric231 unique values
0 missing
SpMax_EA.bo.numeric231 unique values
0 missing
P_VSA_LogP_1numeric46 unique values
0 missing
SsFnumeric445 unique values
0 missing
nCpnumeric9 unique values
0 missing
IC3numeric576 unique values
0 missing
P_VSA_v_2numeric383 unique values
0 missing
nArCOnumeric3 unique values
0 missing
CATS2D_07_DLnumeric12 unique values
0 missing
Eig11_EA.ed.numeric474 unique values
0 missing
SM06_AEA.ri.numeric474 unique values
0 missing
Eta_sh_ynumeric192 unique values
0 missing
CATS2D_04_DAnumeric5 unique values
0 missing
SpMax2_Bh.s.numeric167 unique values
0 missing
Eig04_EAnumeric389 unique values
0 missing
SM12_AEA.bo.numeric389 unique values
0 missing
ATSC8enumeric686 unique values
0 missing
Eig07_AEA.ri.numeric501 unique values
0 missing
nFnumeric7 unique values
0 missing
NsFnumeric7 unique values
0 missing
P_VSA_e_6numeric7 unique values
0 missing
N.075numeric6 unique values
0 missing
NaaNnumeric6 unique values
0 missing
SM15_EA.bo.numeric668 unique values
0 missing
N.072numeric6 unique values
0 missing
P_VSA_LogP_4numeric157 unique values
0 missing
nCONNnumeric3 unique values
0 missing
SIC2numeric217 unique values
0 missing
ATSC2snumeric999 unique values
0 missing
CATS2D_06_DLnumeric12 unique values
0 missing
SM12_EA.bo.numeric643 unique values
0 missing
P_VSA_p_2numeric283 unique values
0 missing
SpMaxA_AEA.bo.numeric98 unique values
0 missing

62 properties

1100
Number of instances (rows) of the dataset.
137
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
136
Number of numeric attributes.
1
Number of nominal attributes.
0
Percentage of binary attributes.
0.47
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-1.8
Minimum kurtosis among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
27.17
Maximum kurtosis among attributes of the numeric type.
-0.02
Minimum of means among attributes of the numeric type.
0
Percentage of missing values.
3.32
Third quartile of kurtosis among attributes of the numeric type.
121.99
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
99.27
Percentage of numeric attributes.
6.86
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
The minimal number of distinct values among attributes of the nominal type.
0.73
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
The maximum number of distinct values among attributes of the nominal type.
-1.77
Minimum skewness among attributes of the numeric type.
First quartile of entropy among attributes.
1.09
Third quartile of skewness among attributes of the numeric type.
5.19
Maximum skewness among attributes of the numeric type.
0.01
Minimum standard deviation of attributes of the numeric type.
0.46
First quartile of kurtosis among attributes of the numeric type.
1.91
Third quartile of standard deviation of attributes of the numeric type.
48.13
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
0.82
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
First quartile of mutual information between the nominal attributes and the target attribute.
2.29
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
-0.77
First quartile of skewness among attributes of the numeric type.
13.83
Mean of means among attributes of the numeric type.
0.27
First quartile of standard deviation of attributes of the numeric type.
-0.04
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among attributes.
Entropy of the target attribute values.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
1.12
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.12
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
2.62
Second quartile (Median) of means among attributes of the numeric type.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
0.28
Mean skewness among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Percentage of instances belonging to the most frequent class.
5.39
Mean standard deviation of attributes of the numeric type.
0.28
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.

12 tasks

2 runs - estimation_procedure: Custom 10-fold Crossvalidation - target_feature: pXC50
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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