User Instruction

  • Job title is optional, but advised to have one before submitting (Default: Example)

  • Make sure your sequence does not contain any characters apart from standard single letter amino acid codes

  • FASTA formatted sequence only can be given in the input textarea. (Sample format can be obtained by clicking the corresponding link over the sequence input box)

  • Use help link for providing mutation pattern.

  • If multiple sequence option is opted, only a maximum of 100 peptides are allowed per job.

  • If protein scan is opted, the maximum length of the input protein should not exceed 2000

  • Results are self descriptive.When the treshold is set to 0.5, the SVM score close to 1 is considered as anticancer peptides, while close to 0 it is considered as non-anticancer peptides. (Refer article for details)

  • Job ID will be generated on each job submission , which will appear on screen following the submission.

  • Use RETRIEVE tab for retrieving the job result.

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    Softwares used

  • WLSVM : Wrapper class for the libsvm, the original wrapper was developed by Yasser EL-Manzalawy. Click here

  • WEKA: Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. Click here

  • BLAST Stand-alone: BLAST+ is a new suite of BLAST tools that utilizes the NCBI C++ Toolkit. The BLAST+ applications have a number of performance and feature improvements over the legacy BLAST applications. Click here