{"name":"communication-tool-repurposing","domain":"nature.com","url":"https://optimly.ai/brand/communication-tool-repurposing","is_claimed":false,"categories":["ai-machine-learning","data-analytics-business-intelligence","healthcare-it"],"headers":[{"header":"Overview","sections":[{"key":"short_description","label":"Tagline","shape":"text","content":"Uniquely addresses intercellular heterogeneity in drug repurposing by developing a drug score that considers all cell clusters from single-cell RNA sequencing data, leading to superior accuracy compared to both bulk-cell-based and other single-cell-based methods.","source_type":"1p_website","source_label":"Brand's website","source_url":"https://nature.com","updated_at":"2026-10-04T00:06:33.957000+00:00"},{"key":"description","label":"Description","shape":"text","content":"ASGARD is a single-cell guided pipeline designed to aid in the repurposing of drugs. It defines a drug score to recommend drugs by considering intercellular heterogeneity within each patient by leveraging single-cell RNA sequencing (scRNA-seq) data. The tool aims to identify effective drugs for heterogeneous diseases, such as cancers and COVID-19, by analyzing drug efficacy across multiple cell clusters.","source_type":"1p_website","source_label":"Brand's website","source_url":"https://nature.com","updated_at":"2026-10-04T00:06:33.957000+00:00"}]},{"header":"Offerings","sections":[{"key":"core_capabilities","label":"Core capabilities","shape":"text","content":"ASGARD: A Single-cell Guided Pipeline to Aid Repurposing of Drugs (computational tool)","source_type":"1p_website","source_label":"Brand's website","source_url":"https://nature.com","updated_at":"2026-10-04T00:06:33.957000+00:00"},{"key":"pricing","label":"Pricing","shape":"text","content":"Free for educational use (open-source on GitHub); commercial licensing information not provided, suggesting it's primarily an academic tool.","source_type":"1p_website","source_label":"Brand's website","source_url":"https://nature.com","updated_at":"2026-10-04T00:06:33.957000+00:00"}]},{"header":"Audience","sections":[{"key":"target_industry","label":"Target industry","shape":"text","content":"Researchers in drug discovery and development, computational biology, precision medicine, oncology, infectious diseases; academic institutions; pharmaceutical companies' R&D departments.","source_type":"1p_website","source_label":"Brand's website","source_url":"https://nature.com","updated_at":"2026-10-04T00:06:33.957000+00:00"}]},{"header":"Landscape","sections":[{"key":"competitors","label":"Competitors","shape":"links","content":[{"url":null,"name":"Alakwaa's pipeline"},{"url":null,"name":"Guo et al.'s pipeline (using Seurat and CLUE)"},{"url":null,"name":"Bulk-cell based drug repurposing methods"},{"url":null,"name":"Other cell cluster-level predicting methods"}],"source_type":"1p_website","source_label":"Brand's website","source_url":"https://nature.com","updated_at":"2026-10-04T00:06:33.957000+00:00"}]}],"last_refreshed_at":"2026-10-04T00:06:33.957000+00:00","last_changed_at":"2026-10-17T23:35:03.103714+00:00","claim_url":"https://app.optimly.ai/sign-up?claim=41d9db93-09d0-4ec5-a61c-81b694cfdd1f"}