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Welcome from ec2-54-211-27-61.compute-1.amazonaws.com.
This is version 1.20 of the Surface Entropy Reduction prediction (SERp) server from January 2007. This exploratory tool aims to aid identification of sites that are most suitable for mutation designed to enhance crystallizability by a Surface Entropy Reduction approach. More Info: introduction page, publication reference.

Please send bug reports, questions and feedback to adminstrator <ser@mbi.ucla.edu>. To submit multiple sequences in FASTA format, use the Batch Submission page.

This summary shows 3 cluster candidate(s) that contain residues suitable for mutation designed to confer enhanced crystallizability. Select one cluster from this list and introduce all proposed mutations into the target. Typically only one cluster is used per construct. Cluster candidates are presented in order of predicted success (best candidates with higher scores are shown first). Ideal mutation candidates are non-conserved, high entropy residues that lie in surface-exposed, entropy-rich regions of the protein. Good candidates for mutation typically have clusters scores of 3.0 and above. [More...]

See respective tabs (above) for scoring details, a graphical representation of the location in the sequence, BLAST alignments to your sequence and complete results of the Meta Search.

Proposed Mutations:
Cluster #1:
  Residues 69 - 71: EKE [?]

 
SERp Score: 6.79 [?]

  • E 69 => A
  • K 70 => A
  • E 71 => A

  • Cluster #2:
      Residues 79 - 80: KE [?]

     
    SERp Score: 5.02 [?]

  • K 79 => A
  • E 80 => A

  • Cluster #3:
      Residues 33 - 35: ADKNKRQDE [?]

     
    SERp Score: 4.14 [?]

  • K 33 => A
  • K 35 => A

  • Meta Search Summary:
    Homologs (identity cut-off 20%):
    No Hits...

    Blocks: (e-value cut-off 0.1):
    No Hits...