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Discover-Rx, AI-Guided Drug Discovery Simulation Platform

Discover-Rx is AI-guided drug-discovery hyposthesis platform that helps with indication and drug target discovery and safety assessment across therapeutic areas and modalities to assist with research, literature search for clinical trial design.
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AI-Guided Drug Discovery, Target Discovery & Clinical Trial Design Platform

Discover-Rx helps drug discovery teams from biopharmaceutical industry to explore the disease, modality, target gene universe to assist discovery of potential targets for desired indications. The platform leverages six workflows, human review-gated steps, right from target gene to indication discovery, disease to novel candidate targets identification, multi-organ risk profile for a target gene and expansion to multiple indications, combinations.
The platform queries the Discover-Rx knowledge graph, runs specialized LLM agents to identify, score and prioritize the hypotheses with audit ready reports supporting R&D and bench-to-bedside scientists. Discover-Rx assists with comprehensive literature search, research and design clinical trials using 6 steps protocol builder to design the eligibility, arms, power calculations, published-trial landscape with site geo-mapping.

Discover-Rx Platform Power Tools

Platform

Guided Discovery Workflows (6 review-gated steps)

  • Indication Discovery : Offers live target gene identification to ranked therapeutic indications
  • Target Discovery : Provides live disease to novel candidate targets. Also, provides clusters for related diseases.
  • Safety Assessment : Live assessment of multi-organ risk profile for a target gene
  • Coming soon : Indication Expansion · Combination Discovery · Hypothesis De-risking · Biomarker ID
  • Every project navigates through 24+ therapeutic areas, custom tags, therapeutic modality (small molecule / antibody / ADC / ASO / peptide), inhibitor vs activator Mechanism of Action, decision objective and safety boundaries
  • Edit-protection : pipeline-affecting changes warn before invalidating downstream runs protecting the edits through the workflow

Knowledge Graph Exploration

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Entity search with CUI autocomplete; node-degree / centrality analytics

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Traversal: shortest path, neighbors, multi-hop subgraph extraction, direct Cypher
Configurable extraction dimensions — direct, anatomy-mediated, drug-class precedent, metabolite-mediated — with per-dimension score thresholds and relationship-type filters
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Candidate triage table: sortable association scores, disease-type / therapeutic-area breakdown, exclusion lists, disease disambiguation
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Sentence-level evidence with PubMed IDs; every run versioned by analysis-run ID

AI Agent Scoring & Prioritization

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LLM relationship validation filters edges to mechanistically-supported only (direct vs pathway-indirect vs correlative)
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6-dimension biological assessment, scored 0–100 with HIGH/MED/LOW confidence + rationale + cited PMIDs:
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Pathway Centrality · Proof-of-Concept Evidence · Safety & Risk · Clinical Translatability · Model Systems · Genetic Evidence
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Composite score → ADVANCE / CONDITIONAL / DEPRIORITIZE recommendation
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Live re-weighting — drag dimension sliders; rankings recompute instantly, no rerun

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Score-distribution histograms, side-by-side candidate comparison, recommendation/MoA/score filters

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Run pinning (model, prompt, rubric, temperature frozen) for full reproducibility

Copilot — Context-Aware Assistant

  • Streaming chat, step-aware suggestions, auto follow-up questions, model selector
  • Tri-state web search (Always / Auto / Off) with source citations
  • Slash commands: /fill /summarize /explain /compare /evidence /log
  • Evidence tools fetch literature sentences for direct & multi-hop relationships

Toolbox

  • Network Explorer — interactive KG graphs (force / tree / circle-pack / arc layouts), visual pipeline builder, node/edge inspector, saved & shareable networks
  • Custom Reports — entity-driven, template-based AI narrative reports with KG data
  • Trial Designer — 6-step protocol builder: eligibility, arms, power calc, published-trial landscape with site geo-mapping, export
  • Literature Radar — entity watchlists, filtered article feeds, trend synopses
  • Research Assistant — multi-source literature Q&A with figure/review filters and file upload

Exports & Auditability

  • PDF · Excel · PPTX · DOCX · JSON — ranked hypotheses, per-dimension scores, evidence, recommendations
  • Every export stamped with analysis-run ID, KG snapshot, model IDs, prompt/rubric versions, timestamp
  • Org-branded report templates (logo, cover, disclaimer); Mermaid diagrams embedded

Collaboration, Security & Administration

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Role-based sharing — OWNER / EDITOR / VIEW_ONLY — per project, network, report, trial design, and research conversation; optional org-wide visibility

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SSO via Google · Microsoft Entra ID · Okta, domain whitelisting, auto-provisioning

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User & org management: roles, suspend/reactivate, password reset, welcome emails

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Comprehensive audit log (sessions, projects, KG queries, copilot, sharing) with LLM token/cost analytics

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Multi-tenant isolation by DB schema + Redis namespace; org-editable platform theming

FAQs

How can Discover-Rx help my R&D team with target and indication discovery?
Discover-Rx helps R&D teams through indication identification by identifying genes related to indication followed by novel target identification for identified genes. The platform enables safety assessment on multi-organs risk profile for the target genes. Discover-Rx further offers in-suite clinical trial design through a six step protocol builder integrated with literature search and analysis platform.
Simply write to info@artixio.com and our team will assist you with the process.

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