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Plasmole

Design, edit & annotate DNA

Primary Subcategory
Pending
View in the ChatGPT registry
Integration details

Description

Plasmole brings deterministic molecular-biology tools into ChatGPT. Annotate raw DNA (ORF and parts detection), parse GenBank/FASTA files, edit and assemble sequences, design and visualize PCR primers, find restriction sites and predict digests, calculate melting temperature, design CRISPR guides, optimize codons, align two or many sequences, verify a clone against its reference, check a design for problems, export GenBank or FASTA, and fetch public NCBI records by accession, or resolve a gene, plasmid or vector name to one. Plasmid-producing tools render an interactive circular map inline; drag-select a region to design primers against it. Constructs are versioned, so you can compare or restore any earlier snapshot. For research use only.

Integration type
Plugin
Verification status
Not applicable
Platform
ChatGPT
Category
Data & Analytics

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Pending

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Access
Account required
First tracked
2026-09-17
Tool count
22
Geography
US

ChatGPT Plugin Discovery Score

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What discovery looks like

ChatGPT recommends Airtable when a user asks it to update a CRM.
ChatGPT surfaces Airtable because it matches the user's request.
Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce Plasmole has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.
Recommended guideThe Complete Guide to ChatGPT Plugin DiscoverabilityFollow the practical steps agents use to find, shortlist, and choose your Plugin.Read guide
Tools

22 tools agents can invoke

Plasmole FAQ
How do I improve a ChatGPT Plugin's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.