The Problem: Vocabulary Mismatch & Rigid Coordinate Validation:

Your hard work isn't lost. table2asn is notoriously rigid because international submission databases (NCBI/EBI/DDBJ) do not accept raw GFF3 files.

1. "Hypothetical Protein" Error: NCBI ignores Ontology_term. It strictly reads the product attribute tag in the 9th column. Without it, everything defaults to "hypothetical protein.

2. TE Error: NCBI rejects custom classification. It requires mobile_element_type=retrotransposon:LINE syntax.

3. SEQ_FEAT. Range Error: A fatal coordinate mismatch where a child feature (CDS/exon) extends outside its parent feature (mRNA/gene) by even 1 base. The -c f flag cannot fix structural biology errors.

The Solution: Do Not Feed Raw GFF3 to table2asn

You need to pass your annotation through a cleanup pipeline to translate your vocabulary and structurally fix the coordinates. Choose the path that matches your current files:

1. Option A: You ONLY have the annotated GFF3 file:

• The Strategy: Use a rapid Python text-swap trick to duplicate your existing text labels into valid NCBI tags.
  • The Pipeline: AGAT (to fix coordinate bounds/SEQ_FEAT.Range) --> Python regex script (to duplicate Ontology_term into product) --> GAG (Genome Annotation Generator) (to convert the cleaned GFF3 into NCBI’s required 5-column .tbl format).

2. Option B: You still have the raw output logs (InterProScan .xml / eggNOG .annotations)

• The Strategy: Use structural evidence files to automatically translate ontology to NCBI nomenclature without rerunning any slow calculations.
  • The Pipeline: AGAT (to fix coordinate bounds) --> funannotate annotate (reads your existing log files to auto-populate official product tags) \ --> GAG (to generate the final submission .tbl file).

Bioinformatician's Tip: Use Pixi instead of Conda

• Installing complex legacy Perl and Python tools like AGAT and funannotate via standard Conda often triggers massive dependency conflicts that take hours to resolve.
• Consider using Pixi. It is a modern, lightweight environment manager that builds an un-breakable, isolated environment container directly inside your project folder. It handles conflicting bioconda dependencies seamlessly in seconds.
• Reply with whether you are using Option A or Option B, and the community could provide the exact terminal syntax or pixi.toml configuration to automate the table conversion for you!