Ai for Drug Discovery (Cloud Pipeline)
Speeds drug discovery by orchestrating workflows for genomics, multiomics and cheminformatics
- Category
- Machine learning
- Registry category
- Operations & ProductivityWorkflow & Productivity
- Vendor
- EPAM Systems, Inc. (EPAM GOVERNMENT SOLUTIONS, LLC)
- Location
- Not disclosed
- Reviews
- This marketplace has no ratings
- Listed on
- Google Cloud Marketplace
- Pricing
- 1 plan listed
Each fact carries one Provenance score: the average of its Disclosure and Evidence scores, the same rule the page uses for the overall score. Click any score to see the math behind it.
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Build Provenance
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Reach Provenance
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Data Provenance
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Compliance Provenance
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What the publisher says
- Agent Name & Partner: Ai for Drug Discovery (Cloud Pipeline), EPAM Systems
Core Function: The platform provides a suite of "Things Chemists do to Molecules," including: searching for similar molecules, calculating physical properties, predicting biological activities and ADMET properties, and docking molecules into biological targets. It also offers a full compute environment with personalized tools (e.g., Jupyter, RStudio), compute clusters, and production pipeline capabilities.
Agentic Nature of Solution: The system acts as a "Gene2Drug" agent. Given a high-level goal from a scientist (e.g., "Find me a drug for this gene"), the platform autonomously orchestrates a complex, multi-step pipeline. It reads gene IDs, maps them to proteins, identifies binding sites (or invokes folding algorithms), performs virtual screening and docking, post-processes hits using predictive models, and proposes synthesis pathways for lead candidates. This entire workflow is a proactive, goal-oriented process managed by the Cloud Pipeline.
Show the rest of the publisher’s description (8 more lines)
- Business Problem & Target Audience
Problem Solved: Accelerate in-silico drug design and precision medicine through automated multiomics and cheminformatics workflows.
Primary Users: Research and Development (R&D), Bioinformatics, Computational Chemistry, Precision Medicine
- Quantifiable Business Impact
Key Metrics: Reduces cost and time-to-market for new drugs. Increases productivity for scientists by optimizing resource usage and automating complex workflows. Enables more efficient and effective analysis of massive datasets (genomic and chemical).
- Essential Filtering Tags
Industry Vertical: Healthcare & Life Sciences (HCLS)
System Connectors: Integrates with on-premise systems (SSO, databases, clusters). It has an open-source architecture that allows integration of any required tool. Key technologies include integrations with Google Multiomics Suite, Collibra, and NVIDIA. It supports multiple workflow languages (Nextflow, WDL, CWL, Snakemake).
Plans and pricing
1 plan listed
Linked repositories
Unknown
Unknown means this listing does not publish a repository. It is not a statement that the code is closed.
Publisher resources
Sources
- Marketplace listingGoogle Cloud Marketplace (opens in a new tab)
- Company recordOutside company data, matched on epam.com
- Official registersearch.gleif.org (opens in a new tab)
Reading the score
Disclosure · how many sources corroborate it
Evidence · what kind of evidence backs it
The SettleTop steps above are possible but not automated yet, so today they sit open and a perfect 10 is out of reach. Open information like firmographics and reach has fewer steps to climb, so it sits a little higher for the same visible evidence.
Information shown here reflects the best available information at the time of assessment and may be incomplete, outdated, or subject to change. It should be independently verified before being relied upon for any decision. SettleTop is not liable for any errors, omissions, or decisions made in reliance on this information.
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