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IonCom is a 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 (Zn2+, Cu2+, Fe2+, Fe3+, Ca2+, Mg2+, Mn2+, Na+, K+) and four acid radical ions (CO32-, NO2-, SO42-, PO43-).


[View an example of output] [Download standalone IonCom program ] [Download dataset used to train/test IonCom ]

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

    • Zn2+
    • Cu2+
    • Fe2+
    • Fe3+
    • Ca2+
    • Mg2+
    • Mn2+
    • Na+
    • K+
    • CO32-
    • NO2-
    • SO42-
    • PO43-

Your email Address

IonCom Resource:
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 32, no. 21 (2016): 3260-3269. [PDF]

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