( bio.tools entry)īASys (Bacterial Annotation System) is a tool for automated annotation of bacterial genomic (chromosomal and plasmid) sequences including gene/protein names, GO functions, COG functions, possible paralogues and orthologues, molecular weights, isoelectric points, operon structures, subcellular localization, signal peptides, transmembrane regions, secondary structures, 3-D structures, reactions, and pathways. Cluster HMMs are available for downloading. Also if your sequence falls into a cluster with a structural/some structural template/s we provide an alignment towards the template/templates based on the Cluster-HMM (HMM profile) that allows you to directly compute your 3D model. With BAR 3.0 and a sequence you can annotate when possible: function (Gene Ontology), structure (Protein Data Bank), protein domains (Pfam). ( bio.tools entry)īAR+ is a server for the structural and functional annotation of protein sequences ( bio.tools entry)īAR 3.0 is a server for the annotation of protein sequences relying on a comparative large-scale analysis on the entire UniProt. ( bio.tools entry)īaCelLo is a predictor for the subcellular localization of proteins in eukaryotes. Prediction of apoptosis protein sub cellular LocalizationĪ highly accurate subcellular localization prediction tool for annotating the Arabidopsis thaliana proteome.
Machine-learning-based algorithm that uses amino acid index to predict protein subcellular localization based on its sequence. Descriptions sourced from the entry in the registry (used under CC-BY license) are indicated by link.
#Fsnavigator for fs2004 updating its database software#
These software related to protein structure prediction may also appear in lists of protein structure prediction software. Some tools are included that are commonly used to infer location through predicted structural properties, such as signal peptide or transmembrane helices, and these tools output predictions of these features rather than specific locations.
This list of protein subcellular localisation prediction tools includes software, databases, and web services that are used for protein subcellular localization prediction.
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