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TargetIQ uses GNNs to propagate disease signals through network topology and rank targets by integrated network evidence." }, { "term": "Portfolio gate", "definition": "A portfolio gate is a formal investment review where discovery leadership approves targets for budget allocation. TargetIQ delivers gate-ready dossiers, competitive landscape briefs, and decision frameworks aligned to typical pharma portfolio review cycles." } ], "faqs": [ { "question": "What is TargetIQ?", "answer": "TargetIQ is a disease target discovery engine by Bajpai Labs. It integrates multi-omics datasets, knowledge-graph neural networks, pathway modeling, and druggability scoring to deliver a ranked list of validated biological targets with full evidence dossiers—before any chemistry or screening begins." }, { "question": "How does TargetIQ prioritize disease targets?", "answer": "TargetIQ ingests GWAS, transcriptomic, proteomic, and single-cell datasets alongside curated knowledge graphs linking genes, pathways, and phenotypes. Graph neural networks score disease relevance, genetic causality, and network centrality. Druggability, safety, and competitive landscape filters produce a portfolio-ready ranked target list in 2 to 4 weeks." }, { "question": "What is the cost of a TargetIQ target discovery engagement?", "answer": "TargetIQ engagements typically range from $75,000 to $300,000 per program depending on indication complexity and data scope. Exploratory single-indication target ID starts at $75,000. Multi-omics franchise mapping ranges from $125,000 to $200,000. Resistance pathway or biomarker-stratified programs range from $175,000 to $300,000." }, { "question": "What deliverables does TargetIQ provide?", "answer": "TargetIQ deliverables include a ranked priority target list (typically 8 to 15 targets) with full evidence dossiers per target; druggability and safety tier scores; competitive landscape briefs; pathway maps linking targets to disease biology; recommended validation experiments; and a portfolio gate presentation deck with decision framework." }, { "question": "What data does TargetIQ accept?", "answer": "TargetIQ works with public multi-omics repositories (GEO, ArrayExpress, GWAS Catalog, Open Targets) and client proprietary cohorts under NDA. Accepted inputs include bulk and single-cell RNA-seq, proteomics, GWAS summary statistics, patient stratification labels, and prior internal target lists for reconciliation scoring." }, { "question": "How does TargetIQ assess druggability?", "answer": "TargetIQ evaluates structural tractability (PDB coverage, AlphaFold model quality, binding pocket analysis), modality fit (small molecule, biologic, degrader), known ligand classes, and essential-gene safety profiles. Each target receives a composite druggability score calibrated against approved drug precedents and proprietary validation outcomes." }, { "question": "What is knowledge-graph target discovery?", "answer": "Knowledge-graph target discovery uses curated biological networks—linking genes, proteins, pathways, diseases, and compounds—to score targets by network position and evidence propagation. TargetIQ applies graph neural networks over these knowledge graphs to surface targets missed by single-source GWAS or expression analysis alone." }, { "question": "How accurate are TargetIQ target rankings?", "answer": "Across closed engagements, 75 to 90 percent of TargetIQ Priority A targets were supported by independent clinical or genetic evidence at portfolio review. Rankings are recalibrated against prior gate outcomes and wet-lab validation feedback, not public benchmark leaderboards alone." }, { "question": "Who operates TargetIQ?", "answer": "TargetIQ is operated by Bajpai Labs (legal entity: Bajpai and Co. Research Private Limited, CIN: U72100UP2026PTC248170), a boutique AI and quantum consulting firm headquartered in Dubai, UAE with operations in Uttar Pradesh, India. Contact: hello@bajpailabs.com." }, { "question": "When should I use TargetIQ versus downstream chemistry platforms?", "answer": "Use TargetIQ when you need a ranked, evidence-backed target list before committing to screening, medicinal chemistry, or biologics campaigns. TargetIQ answers \"which target?\"—downstream platforms like HelixForge answer \"which molecule?\" Once targets are gated, TargetIQ dossiers feed directly into chemistry and biologics discovery pipelines." } ], "sitemap": "https://targetiq.bajpailabs.com/sitemap.xml", "llmsTxt": "https://targetiq.bajpailabs.com/llms.txt", "forAi": "https://targetiq.bajpailabs.com/for-ai", "mcpServerCard": "https://targetiq.bajpailabs.com/.well-known/mcp/server-card.json", "agentSkills": "https://targetiq.bajpailabs.com/.well-known/agent-skills/index.json" }