Method at a Glance

meta-PPISP is built on three individual web servers: cons-PPISP, PINUP, and Promate. A linear regression method, using the raw scores of the three severs as input, was trained on a set of 35 nohomologous proteins. Cross validation showed that meta-PPISP outperforms all the three individual servers. At coverages indentical to those of the individual methods, the accuracy of meta-PPISP is higher by 4.8 to 18.2 percentage points. Similiar improvements in accuracy are also seen on CAPRI and other targets.

Predict binding site for your protein here

If you have more than a few proteins and would like to run meta-PPISP in batch mode, click here.

  • Type an arbitrary name for referencing your submission:
  • Enter your email address, where the prediction will be sent to:
  • Enter the chain(s) of your protein:
    No chain ID: leave underscore "_" alone
    Single chain: delete "_" and type letter or number for chain ID, e.g., A
    Multiple chains: delete "_" and type chain IDs separated by comma without space, e.g., A,B,C
  • Upload your PDB file (should less than 10000 atoms for limit of Promate):

    OR paste your pdb (do NOT do both):

  • Note: meta-PPISP is a 3D structure based, not sequence based, predictor.

  • Home

  • Input format

  • Output format

  • WESA

  • cons-PPISP


  • Download dataset

  • View Stats