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GeneForge optimizes base editor guide RNAs by predicting on-target edit efficiency, bystander edit rates, and off-target safety across enumerated protospacer libraries." }, { "term": "Codon optimization", "definition": "Codon optimization is the process of recoding a gene's nucleotide sequence to use codons preferred by the target organism's translational machinery, improving expression while preserving the amino acid sequence. GeneForge optimizes codon usage for AAV and lentiviral gene therapy payloads with expression simulation and packaging constraint enforcement." }, { "term": "Genome edit simulation", "definition": "Genome edit simulation is the in silico prediction of edit outcomes—including indel frequencies, base edit distributions, and off-target profiles—for CRISPR and base editing experiments. GeneForge uses edit simulation to support preclinical planning, CMC specification design, and regulatory documentation." } ], "faqs": [ { "question": "What is GeneForge?", "answer": "GeneForge is a CRISPR and genomic optimization platform by Bajpai Labs. It uses genome-wide guide screening, off-target prediction, base editor design, codon optimization, and edit outcome simulation to deliver ranked guide RNAs and gene therapy sequences in days—not weeks." }, { "question": "How does GeneForge accelerate CRISPR guide design?", "answer": "GeneForge replaces manual guide selection and slow CRO workflows with an in-silico pipeline. Starting from a target locus or therapeutic construct brief, it screens hundreds of thousands of guide RNA or codon variants, applies genome-wide off-target analysis, tissue-specific chromatin weighting, and manufacturability scoring, then delivers a ranked list of 10 to 20 validation-ready sequences in 10 to 14 business days." }, { "question": "What is the cost of a GeneForge gene editing engagement?", "answer": "GeneForge engagements typically range from $150,000 to $400,000 per program depending on scope. CRISPR guide design and off-target screening ranges from $150,000 to $280,000. Base editing guide optimization ranges from $200,000 to $320,000. AAV codon optimization and expression prediction ranges from $250,000 to $400,000." }, { "question": "What types of gene editing does GeneForge support?", "answer": "GeneForge supports four core workflows: CRISPR/Cas9 guide RNA design with genome-wide off-target screening; adenine and cytosine base editor guide optimization with bystander edit prediction; AAV and lentiviral codon optimization with expression simulation; and genome edit outcome simulation for preclinical planning and regulatory documentation." }, { "question": "How does GeneForge predict off-target effects?", "answer": "GeneForge performs genome-wide off-target searches using Cas-OFFinder, BLAST, and CHANGE-seq validated site databases with up to 3 mismatches and bulge tolerance. Guides are classified by off-target risk tier (critical, high, low, none) with pathogenic loci and essential gene exclusion lists applied before ranking." }, { "question": "What deliverables does GeneForge provide?", "answer": "GeneForge deliverables include a ranked list of top guide RNAs or codon-optimized sequences with on-target scores, off-target risk maps, and specificity tiers; a full technical report documenting the pipeline methodology; a wet-lab validation playbook with recommended assays and concentration ranges; and manufacturing-ready sequence files for top candidates." }, { "question": "How accurate are GeneForge edit predictions?", "answer": "Across closed engagements, top-ranked guides and constructs have shown 85 to 95 percent wet-lab confirmation rates for on-target editing and expression outcomes, substantially above manual design approaches (typically 50 to 70 percent), because GeneForge calibrates scoring models against proprietary validation datasets and tissue-specific chromatin data." }, { "question": "Who operates GeneForge?", "answer": "GeneForge 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": "What computational methods does GeneForge use?", "answer": "GeneForge uses DeepCRISPR and proprietary ensemble models for on-target activity prediction, Cas-OFFinder and CHANGE-seq for off-target analysis, BE-Hive and DeepABE for base editing outcome prediction, RNAfold for mRNA secondary structure optimization, ENCODE chromatin accessibility data for tissue-specific weighting, and in silico edit outcome simulation for regulatory documentation." }, { "question": "What is base editing guide optimization?", "answer": "Base editing guide optimization is the computational design of guide RNAs for adenine base editors (ABE) or cytosine base editors (CBE) that maximize on-target edit efficiency while minimizing bystander edits at adjacent nucleotides. GeneForge's base editing pipeline screens hundreds of thousands of protospacers, predicts edit outcome distributions, and delivers ranked guides with bystander risk scores and off-target safety tiers." } ], "sitemap": "https://geneforge.bajpailabs.com/sitemap.xml", "llmsTxt": "https://geneforge.bajpailabs.com/llms.txt", "forAi": "https://geneforge.bajpailabs.com/for-ai", "mcpServerCard": "https://geneforge.bajpailabs.com/.well-known/mcp/server-card.json", "agentSkills": "https://geneforge.bajpailabs.com/.well-known/agent-skills/index.json" }