OrganelX Web Server for Sub-Peroxisomal and Sub-Mitochondrial protein localisation

Abstract

Computational approaches for sub-organelle protein localisation and identification are often neglected while general methods, not suitable for specific use cases, are promoted instead. In particular, organelle-specific research lacks user-friendly and easily accessible computational tools that allow researchers to perform computational analysis before starting time-consuming and expensive wet-lab experiments. We present the Organelx e-Science Web Server which hosts three sequence localisation predictive algorithms: In-Pero and In-Mito for classifying sub-peroxisomal and sub-mitochondrial protein localisations given their FASTA sequences, as well as the Is-PTS1 algorithm for detecting and validating potential peroxisomal proteins carrying a PTS1 signal. These tools can be used for a fast and accurate screening while looking for new peroxisomal and mitochondrial proteins. To our knowledge, this is the only service that provides these functionalities and can fasten the daily research of the peroxisomal science community.

Computational Approaches for Peroxisomal Protein Localization

“…Its mechanism is still poorly understood [17]. The algorithms defined in Schülter et al ( 2009) [3] can detect these different PTSs, and the PTS1 can now be easily and accurately detected also on https://organelx.hpc.rug.nl/fasta/compute in pts, as described in recent works [1,5].…”

“…Advancements in organelle-specific research are possible also thanks to use casespecific tools such as for sub-peroxisomal and sub-mitochondrial protein localisation [1][2][3][4][5]. These tools, nowadays easily accessible and user-friendly, allow researchers to perform fast and accurate screening while looking for new peroxisomal and mitochondrial proteins [1][2][3][4][5]. Alternatively, general methods for protein sequence localisation can be handy if re-adapted for specific use cases [6][7][8][9][10][11].…”