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IonCom is an ligand-specific method for small ligand (including metal and acid radical ions) binding site prediction. Starting from given sequences or structures of the query proteins, IonCom performs a composite binding-site prediction that combines ab initio training and template-based transferals. To enhance specificity and sensitivity, the server focuses on binding site prediction of thirteen most important small ligand molecules, including nine metal ions (Zn++, Cu+, Fe+, Fe++, Ca++, Mg++, Mn++, Na+, K+) and four acid radical ions (CO3--, NO2-, SO4--, PO4---).


[View an example of output] [Download the standalone program ]

Input data

    Please copy and paste your data below (either structure in PDB format or sequence in FASTA format is acceptable)


    Or upload the stucture/sequence file:

Select ligand type

    I don't know the ligand types

    I know the ligand types

    • Zn++
    • Cu+
    • Fe+
    • Fe++
    • Ca++
    • Mg++
    • Mn++
    • Na+
    • K+
    • CO3--
    • NO2-
    • SO4--
    • PO4----

Your email Address

Reference

  • Xiuzhen Hu, Qiwen Dong, Jianyi Yang, Yang Zhang. Recognizing metal and acid radical ion binding sites by integrating ab initio modeling with template-based transferals. Bioinformatics, in press (2016).

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