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 result: Albumin ligand (prediction accuracy: 92.1%), binding site 2 (prediction accuracy: 80.0%)
Please note that binding site 3 prediction is not included in the built in SVM model.
|Ghose-Viswanadhan-Wendoloski antiinflammatory-like index||=||0|
|number of carboxylic acids (aliphatic)||=||0|
|number of substituted benzene C(sp2)||=||0|
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.