aid: iambic url: https://raw.githubusercontent.com/api-evangelist/iambic/refs/heads/main/apis.yml name: Iambic Therapeutics type: Index image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg description: Iambic Therapeutics is a clinical-stage AI drug discovery company headquartered in San Diego. Its proprietary AI platform pairs the NeuralPLexer 3D generative model for protein-ligand structure prediction with the Enchant multimodal transformer for clinical and preclinical endpoint prediction, integrated with automated wet-lab capabilities. Iambic's clinical pipeline includes IAM1363 (HER2), IAM-K1 (KIF18A), and IAM-C1 (CDK2/4) in oncology. Iambic is a therapeutics developer rather than an API provider and does not publish a public developer API or open-source platform. tags: - Drug Discovery - AI for Science - Therapeutics - Biotech - Oncology - Clinical-Stage Pipeline - Generative Chemistry - Structural Biology created: '2026-05-23' modified: '2026-05-23' specificationVersion: '0.19' apis: [] common: - type: DomainSecurity url: security/iambic-domain-security.yml - type: Website url: https://www.iambic.ai/ - type: Pipeline url: https://www.iambic.ai/pipeline - type: Platform url: https://www.iambic.ai/platform - type: Newsroom url: https://www.iambic.ai/news - type: Publications url: https://www.iambic.ai/publications - type: Careers url: https://www.iambic.ai/careers - type: Contact url: https://www.iambic.ai/contact - type: Email url: mailto:contact@iambic.ai - type: LinkedIn url: https://www.linkedin.com/company/iambictherapeutics - type: Twitter url: https://twitter.com/iambictx - url: https://www.iambic.ai/news type: Blog - type: Features data: - name: NeuralPLexer description: 3D generative model that predicts protein-ligand complex structures directly from amino acid sequence and ligand graph inputs, reported in Nature Machine Intelligence with state-of-the-art docking and binding-site performance. - name: Enchant description: Multimodal transformer that predicts clinical and preclinical endpoints from molecular structures. - name: Automated Wet-Lab Integration description: Closed-loop coupling of AI design with high-throughput automated wet-lab synthesis and assay capabilities. - name: Brain-Penetrant Small Molecules description: Programs such as IAM1363 designed to cross the blood-brain barrier for CNS and brain-metastatic oncology indications. - type: Pipeline data: - name: IAM1363 (HER2) description: Brain-penetrant HER2 inhibitor showing anti-tumor activity in Phase 1b clinical trials. - name: IAM-K1 (KIF18A) description: Potential best-in-class KIF18A inhibitor for breast and ovarian cancers. - name: IAM-C1 (CDK2/4) description: Selective CDK2/4 inhibitor for HR+/HER2- metastatic breast cancer. - type: UseCases data: - name: AI-Driven Small-Molecule Design description: End-to-end design of novel small-molecule therapeutics using generative AI. - name: Protein-Ligand Structure Prediction description: Structural prediction to support hit discovery and lead optimization. - name: Clinical Endpoint Prediction description: Machine-learning prediction of preclinical and clinical endpoints to guide program selection. - type: Partnerships data: - name: Takeda description: Multi-year collaboration announced February 2026 to apply Iambic's AI-driven drug discovery platform to Takeda's small-molecule R&D in oncology, gastrointestinal, and inflammation. Includes an undisclosed upfront payment plus research funding, with up to $1.7B in development and sales milestones and royalties on resulting products. - type: Recognition data: - name: CNBC Disruptor 50 description: Named to the CNBC Disruptor 50 list. - name: Conference Presentations description: Presented at industry conferences including the JPMorgan Healthcare Conference, Galien Forum, and AIAS. - type: Authentication data: - name: No Public Developer API description: Iambic Therapeutics does not publish a public developer API, SDK, or open-source platform. Engagement is through pharma partnerships and the company's internal R&D pipeline. - type: Compliance data: - name: GxP Drug Development description: Operates within standard pharmaceutical regulatory frameworks (GLP, GMP, GCP) for clinical-stage drug development. - type: Facilities data: - name: San Diego Headquarters description: Headquartered in San Diego, California with AI, computational chemistry, and automated wet-lab facilities. maintainers: - FN: Kin Lane email: kin@apievangelist.com