LegumeLoc analysis

Submission

Enter an NCBI or UniProt accession, upload a FASTA file, or paste protein sequences to predict subcellular localization.

Step 1

Choose the input method

LegumeLoc accepts protein sequences from one source at a time.

Sequence type

Protein

Input method

Step 2

FASTA sequence

Up to 10,000 sequences; each header must begin with >.

Working with a large dataset? Use the standalone LegumeLoc package for local, scripted, and repeated analyses.

Step 3

Select prediction depth

Level I: Single vs Dual

Classifies query sequences into single or dual organelle localization

Level II: 11 single classes

Nucleus, cytoplasm, plastid, membrane, ER, Golgi, mitochondria, and others.

Level III: 14 dual classes

Classifies proteins across the 14 supported dual-localization pairs.

Select Model Strategy

Fast

DPCP Feature Vector. Fast speed.

Sensitive

TPC Feature Vector. Highest accuracy.

Step 4

Your private results page opens automatically when processing is complete.