MONSTER: Minnesota prOteiN Sequence annotaTion servER

نویسندگان

  • Huzefa Rangwala
  • George Karypis
چکیده

Summary: MONSTER is a server for predicting the local structure and function properties of protein sequences. MONSTER provides residue-wise annotation services, that include secondary structure, transmembrane-helix region, disorder region, protein-dna binding site, local structure alphabet, solvent accessibility surface area, and residue-wise contact order prediction. MONSTER uses sequence-derived information (in the form of PSI-BLAST profiles), a window-based encoding scheme with an accurate kernel function to perform the classification or estimation. The user provides an amino acid sequence and selects the desired predictions, and submits a job to the MONSTER server. The results are emailed to the user as a link directing the user to a well formatted HTML output page. Availability: http://bio.dtc.umn.edu/monster

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تاریخ انتشار 2008