Prediction : 33-diphenylallyldimethylamine - albumin

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Reference

When using this server please cite the following paper:

Zsila F, Bikadi Z, Malik D, Hari P, Pechan I, Berces A, Hazai E.

Evaluation of drug-human serum albumin binding interactions with support vector machine aided online automated docking.

Bioinformatics. 2011 May 18.

Prediction summary

SVM prediction results:

SVM : albumin prediction

Prediction result: Albumin ligand (prediction accuracy: 92.1%), binding site 2 (prediction accuracy: 80.0%)

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Please note that binding site 3 prediction is not included in the built in SVM model.

Calculated physicochemical properties:

Molecular Weight	=	237.370
logP	=	3.850
Ghose-Viswanadhan-Wendoloski antiinflammatory-like index	=	1.000
number of carboxylic acids (aliphatic)	=	0
number of substituted benzene C(sp2)	=	2

Ligand Similarity:

In the following tables the similarities of the query compound to the original X-Ray compunds are presented. Similarity is calculated based on Tanimoto fingerprints. The value ranges from 0 to 1, with 1 being identical to the original X-Ray compound.

Site 1_IIA
Salicylic acid	0.194
R-Warfarin	0.185
L-Thyroxine	0.184
Iodipamide	0.170
Diiodosalicylic acid	0.158
Compound 2	0.148
Compound 1	0.144
Azapropazone	0.130
Indomethacin	0.123
CMPF	0.116
Phenylbutazone	0.113
Dansyl-L-asparagine	0.109

Site 2_IIIA
Propofol	0.327
(S)-Ibuprofen	0.283
L-Thyroxine	0.184
Diazepam	0.161
Diflunisal	0.149
Dansyl-L-sarcosine	0.119
Dansyl-L-norvaline	0.118
Indoxyl sulphate	0.071

Site 3_IB
Azapropazone	0.121
Fusidic acid	0.112
Bilirubin	0.100
Compound 3	0.095

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Chemical structure