Correlates peptide masses obtained from transcripts with a list of achieved experimentally masses. ConoMass consists of two main steps: (i) ConoMass1 calculates masses matching to all possible modifications of conopeptide sequences predicted from transcripts and (ii) ConoMass2 determines these predicted masses in experimental mass spectra. The software is part of the ConoServer database and can be run by using external data as well as records from the database.
Offers a platform for conopeptide precursor sequences analysis. ConoPrec is part of the ConoServer repository and can be used for scanning information extracted from the database as well as external data. The application can be run with single and multiple sequences and produces multiple files providing identification of sequence regions and predictions of potential post-translational modifications of the mature conopeptide and more. It aims to assist users in picking and analyzing contigs coding for conopeptide precursors.
Enables classification of conopeptides into super-families based on their amino acid sequence. ConoDictor is a web-based tool that exploits profile hidden Markov models (pHMMs) and position-specific scoring matrix (position-specific scoring matrix (PSSM), also known as generalized profiles) to classify conopeptide. It is a bioinformatics tool that serves for classification and serves as a starting point for investigation of the conopeptides functional characteristics.
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