pharmaclaw-literature-agentSearch and retrieve biomedical and scientific literature from PubMed and Semantic Scholar with structured summaries, citation tracking, and open-access PDFs.
Install via ClawdBot CLI:
clawdbot install Cheminem/pharmaclaw-literature-agentGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://eutils.ncbi.nlm.nih.gov/entrez/eutilsUses known external API (expected, informational)
arxiv.orgAudited Apr 17, 2026 · audit v1.0
Generated Mar 20, 2026
Researchers can use the agent to search for existing literature on a known compound (e.g., aspirin) in the context of a new disease (e.g., colorectal cancer), identifying recent studies and clinical trials to support repurposing hypotheses. This accelerates discovery by leveraging published data without extensive manual searches.
Startups can monitor the latest publications and preprints on specific targets (e.g., KRAS G12C) to track competitor progress, identify novel mechanisms, and assess the state of the art. The agent's citation tracking helps prioritize high-impact papers for strategic planning.
Graduate students or academics can quickly gather structured results on a topic like 'graph neural networks in drug discovery', including TLDR summaries and open-access PDFs, to streamline literature reviews for grant proposals or publications. The dual-source search ensures comprehensive coverage across biomedical and computational fields.
IP professionals can chain from literature findings to identify patent mentions, using the agent to search for prior art and related studies on compounds or reactions. This aids in freedom-to-operate (FTO) analyses by providing up-to-date scientific context.
Clinical researchers can query Phase II/III trials and recent papers on a disease or mechanism to evaluate the novelty and support for proposed trials. The agent's phase/FDA query boosts help focus on breakthrough studies relevant to regulatory submissions.
Offer the agent as a cloud-based service with enhanced features like API access, custom dashboards, and priority support, targeting large pharmaceutical firms for ongoing literature monitoring. Revenue is generated through annual licenses based on user seats and data volume.
Provide API access to the agent's search and lookup capabilities, allowing universities and research labs to integrate it into their workflows without upfront costs. Revenue comes from metered usage based on query volume and result counts.
Deploy the agent as part of tailored solutions for biotech clients, offering integration with internal databases, training on advanced features, and support for specific research projects. Revenue is project-based with hourly or fixed-fee contracts.
💬 Integration Tip
Integrate the agent into existing research platforms via its chain_entry.py script, using JSON inputs to automate queries from compound or disease databases for seamless workflow enhancement.
Scored Apr 19, 2026
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