Advanced docking services for everyone

Run blind docking calculations through a simple interface, without any effort
or prior knwoledge. Check out the advantages of using our platform:

'a priori' docking

No prior knowledge about the binding sites on your protein is required: only structural data for your ligand and your protein is required.

Offload your calculations
to the cloud

Save time and power by allowing our platform to carry out the calculations for you.

Advanced features

Make your life easier with our advanced features: clustering of overlapping poses, cluster distance and binding energy plots, and a script to easily import the results into PyMOL to better examine the poses and exctrace your own images.

  • Email notifications

    You will be notified whenever one of your calculations is finished, and your results ready for download.

  • Online preview

    You can preview the results of your calculations online, before downloading any results.

  • Downloadable results

    It does not matter if you choose to use our free or premium features. You will always be able to download your data files to handle them yourself.

  • Always improving

    We are always working on improving the Blind Docking Server, adding new fetures or improving current ones.

  • Academic references

    Blind Docking server has been used by many academic groups worldwide.

    One of the last citations is:

    Ishak IH, Kamgang B, Ibrahim SS, Riveron JM, Irving H, Wondji CS (2017)
    Pyrethroid Resistance in Malaysian Populations of Dengue Vector Aedes aegypti Is Mediated by CYP9 Family of Cytochrome P450 Genes. PLoS Negl Trop Dis 11(1): e0005302.
    doi:10.1371/journal.pntd.0005302

    Some of our academic clients:.


    Universidad Autónoma de Madrid


    CEBAS - CSIC

  • Industry references

    Our Blind Docking server has been already used by several companies in the pharma and biotech sectors.

    Some of our academic clients:.


    Villapharma Research


    AQP Ingredients


    MD.USE

  • Sponsors

    Supported by



    EUROLAB-4-HPC H2020 Program


    HiPEAC 2016 Technology Transfer Award

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