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To generate a benchmark for your desired targets, use our free on-line system, following the instructions below...

  1. Submit the email address to which the results should be sent. This is done only for the purpose of validation and providing results. None of your information will be retained.
  2. Submit the 8 character validation code which will be emailed to you.
  3. Provide the input for the targets you wish to generate crossdocking sets for. Your input should be formatted as follows...
  1. After submitting your input, your results will be emailed to you as soon as they are ready. This may take several minutes to several hours or more, contingent upon size of the request and traffic.
  2. Your results will be made available on the site for 24 hours after you are emailed.

Getting Started

If you are having trouble getting started, or selecting the proper input, consider visiting the Protein Data Bank to identify potential protein structures from which to construct a dataset. Please be sure that each protein you wish to generate homologous receptor-ligand pairs for contains a valid ligand. The PDB information page for each structure contains a list of ligands towards the bottom. Your input must include the 4 character PDB ID of the structure as well as the 3 character ligand ID for your ligand of interest.

How the CrossDocking Generator Works

The CrossDocking Generator compiles a crossdocking benchmark for the user's Targets of interest. The generator returns a dataset consisting of all of the known structures containing an inhibitory ligand that are homologous to the given Target. These structures are separated into ligand and receptor .pdb structures. For convenience, all receptor structures are stripped of any co-factors and all structures are aligned to the reference PDB ID for the Target. The resulting dataset can be used as a benchmark in crossdocking studies either by docking the various ligands from each receptor-ligand set to one reference receptor, or by docking the ligands across various receptors. For each Target, the following steps are carried out...

  1. The user specified PDB ID is downloaded and the specified ligand is extracted.
  1. All known structures with 80% homology to the reference receptor are considered. Those structures containing a known inhibitory ligand are retained.
  1. These structures are separated into receptor and ligand files.
  2. Structures are aligned to the reference receptor so as to allow easy comparison between known and docked ligand position.
  1. The final directory for each Target consists of...


If errors occur in processing any Target, they will be noted in the ERROR_LOG.txt file in your results. The problem likely stems from one of the following...

  1. The PDB ID is invalid.
  2. The PDB structure does not contain a ligand with the  ligand ID specified.
  • Please note that the system automatically rejects common co-factors based on a blacklist of known co-factors and molecular weight (a valid ligand must have Molecular Weight > 150 D
  1. The generator failed to identify any homologous structures containing a valid ligand. Either...
  • The PDB ID does not have any known homologous structures
  • None of the homologous structures contain a valid ligand
  • None of the homologous structures could be aligned properly
    • Please note that the system rejects structures with a co-factor within the same binding pocket as the ligand. As a result some structures are rejected (perhaps unnecessarily). For example, structures containing an ionic co-factor conjugated to the receptor at the binding site will be rejected. Interactions such as these may not be accounted for by docking software, so potentially troublesome cases such as these have been eliminated from this benchmark.


Cross Docking Benchmark is provided by the Camacho Laboratory at University of Pittsburgh and is developed by Shayne Wierbowski of the University of Scranton and Jim Zheng of the University of Pittsburgh.

Scripts and website content © 2022 Shayne Wierbowski - University of Scranton. Website content © 2022 Jim Zheng - University of Pittsburgh. All rights reserved.