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lobster-drug-discovery

PyPI·Infrastructure

lobster-drug-discovery is an open-source AI agent for automating drug discovery tasks such as target identification, compound profiling, and clinical translation. It is designed for researchers and scientists in bioinformatics and pharmacogenomics, leveraging AI to streamline discovery workflows.

Open SourceAGPL-3.0-or-laterCLI
Visit PyPI↗
34stars
6forks
4features
2026since

Overview

4 features

lobster-drug-discovery sits in PulseGate's Other AI category. It accelerates drug discovery by automating target identification and compound profiling using AI agents. It is built as an open-source project for bioinformatics researchers and drug discovery scientists. The project is open source (AGPL-3.0-or-later). It ships for the command line.

the-omics-os builds and maintains lobster-drug-discovery, and it first shipped in 2026. The project is developed in the open on GitHub with 34 stars and 53 commits in the last 90 days. Key capabilities include target identification, compound profiling, and clinical translation.

Summary written by a language model from the project’s public pages.

  • ✓Target identification
  • ✓Compound profiling
  • ✓Clinical translation
  • ✓Pharmacogenomics
Tags
drug-discovery-agentbioinformatics-aicompound-profiling
AI capabilities
Structured
Inference: LocalWeights: Open

Built with & integrations

AI providers
anthropicopenailocal_oss
Runs on
CLI

Trust & compliance

License
AGPL-3.0-or-later
Verified signals
✓HTTPS✓Open Source✓Free tier✓Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed27 Jun · 15:58 UTC
    Listing verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about lobster-drug-discovery

What is lobster-drug-discovery?
Lobster-drug-discovery accelerates drug discovery by automating target identification and compound profiling using AI agents. It is catalogued under Other AI on PulseGate.
Who should use lobster-drug-discovery?
lobster-drug-discovery is an open-source project built for bioinformatics researchers and drug discovery scientists.
Does lobster-drug-discovery have a free plan?
Yes — lobster-drug-discovery is open source under the AGPL-3.0-or-later license and free to use.
What platforms does lobster-drug-discovery run on?
lobster-drug-discovery runs on the command line.
Is lobster-drug-discovery still active?
The GitHub repository shows 53 commits in the last 90 days.
What are alternatives to lobster-drug-discovery?
Similar projects tracked by PulseGate include lobster-proteomics, lobster-genomics, and lobster-ai.lobster-proteomicslobster-genomicslobster-ai
Who develops lobster-drug-discovery?
lobster-drug-discovery is developed by the-omics-os.
When did lobster-drug-discovery launch?
lobster-drug-discovery first shipped in 2026.

At a glance

Platforms
Cli
Languages
English
License
AGPL-3.0-or-later
Built for
bioinformatics researchers and drug discovery scientists
Model
Open source
Solves
Accelerates drug discovery by automating target identification and compound profiling using AI agents.

Registered as

PyPI
lobster-drug-discovery

Developer

the-omics-os
Small team

Open source

Stars
34
Forks
6
Open issues
0
Last commit
9 Jun 2026
Commits 90d
53
Contributors
2
Authorship
Small team
Default branch
main
Latest release
v1.1.418 · 2 May 2026

Index record

Identity confidence
Low · 64
Indexed
27 Jun 2026
Lifecycle
Alive
Last seen
27 Jun 2026
Identity audit (12)
Slug
lobster-drug-discovery-pypi-org
Lifecycle last checked
8 Aug 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
27 Jun 2026
Timeline basis
Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from
Written by a language model from the project's public pages.
Category from
Assigned by a language model.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model from page content.
Canonical URL
https://pypi.org/project/lobster-drug-discovery

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