GOR IV protein secondary structure prediction (CNRS IBCP)

PASSED

GOR IV is the fourth version of GOR secondary structure prediction methods based on the information theory. There is no defined decision constant. GOR IV uses all possible pair frequencies within the window of 17 amino acid residues.

A description of the WSDL service:

GorIV_Service

Namespace: http://gbio.ibcp.fr:8090/GorIV_Service

GorIV @ IBCP (http://gbio-pbil.ibcp.fr)


  • Port: GorIVPort
  • Location: http://gbio.ibcp.fr:8090/GorIV_Service
  • Protocol: http://schemas.xmlsoap.org/soap/http
  • Default Style: rpc

Operations

submitGorIV

Submit a sequence an get a jobID

  • SOAP Action: urn:GorIVWS.wsdl#submitGorIV
  • Input Message: submitGorIVRequest
    • Sequences
      • string
  • Output Message: submitGorIVResponse
    • JobId
      • string

checkStatusGorIV

Submit a jobID and get the status

  • SOAP Action: urn:GorIVWS.wsdl#checkStatusGorIV
  • Input Message: checkStatusGorIVRequest
    • JobId
      • string
  • Output Message: checkStatusGorIVResponse
    • Status
      • string

getResultsGorIV

When job is finish, submit a jobid and get the results

  • SOAP Action: urn:GorIVWS.wsdl#getResultsGorIV
  • Input Message: getResultsGorIVRequest
    • JobId
      • string
  • Output Message: getResultsGorIVResponse
    • SecStructure
      • string
    • Logout
      • string

cancelGorIV

When some thing is wrong, cancel your job

  • SOAP Action: urn:GorIVWS.wsdl#cancelGorIV
  • Input Message: cancelGorIVRequest
    • JobId
      • string
  • Output Message: cancelGorIVResponse
    • Status
      • string

WSDL Changes

DateDescription of Changes
8th April 2009First Snapshot

PHD are neural network

PHD are neural network systems (a sequence-to-structure level and a structure-structure level) to predict secondary structure (PHDsec), relative solvent accessibility (PHDacc) and transmembrane helices (PHDhtm) (Rost and Sander, 1993). The NPS@ server only uses PHDsec. HP0-Y20 dumps PHDsec focuses on predicting hydrogen bonds. The procedure essentially involves executing a BLASTP search of your sequence, 70-272 dumps filtering these results and aligning them with CLUSTALW, RH202 dumps then using the multiple alignment as the input of the neural network. 642-062 dumps The PHD prediction done with NPS@ is better than the PHD prediction on the single sequence. But it's not exactly the same and could be a little bit less accurate than the PredictProtein one.