Iambic Therapeutics

Overview

Iambic Therapeutics is a clinical-stage biotechnology company based in San Diego, California, founded in 2019-2020. The company focuses on AI-driven drug discovery and development, utilizing physics-based artificial intelligence algorithms to create optimized medicines and innovative mechanisms of action.

The proprietary platform integrates advanced molecular modeling, automation through high-throughput experimental platforms, and rapid execution to accelerate clinical candidate advancement. This approach enables the identification of novel chemical entities and optimizes therapeutic windows for challenging biological targets, with a pipeline that includes first-in-class and best-in-class candidates in oncology and other therapeutic areas. The leadership team leverages expertise in AI and drug development to address unmet patient needs through both internal initiatives and strategic partnerships.

Basic Information

Contact Details

• Phone: +1 626-592-2520
• Website: iambic.ai
• LinkedIn: linkedin.com/company/iambic-ai

Key Focus Areas & Initiatives

• Machine learning
• Artificial intelligence
• Drug discovery
• Catalysis
• Materials
• Sustainability
• Chemistry
• Biochemistry
• Pharmaceuticals
• Polymers
• Quantum mechanics
• Molecular simulation
• Batteries
• Energy
• Biotechnology research
• High-throughput chemistry
• Neuralplexer
• Biotechnology
• Selective kinase inhibitors
• Protein structure prediction
• Research and development in the physical, engineering, and life sciences
• Protein-ligand prediction
• Drug discovery platform
• Physics-based AI
• Target engagement
• Protein interaction modulation
• AI-based lead optimization
• Protein conformational response
• Quantum chemistry models
• Clinical-stage programs
• AI-driven chemical space exploration
• Automated testing
• Drug development speed
• Undruggable targets
• Innovative drug discovery
• CDK2/4 inhibitors
• Targeted cancer therapies
• Cryptic pocket discovery
• AI-powered pipelines
• Chemical space exploration
• Collaborative research
• Biological data analysis
• Oncology programs
• AI in pharma
• Drug design optimization
• Therapeutic innovation
• Protein structure modeling
• Molecular modeling
• Drug discovery pipeline
• AI-powered drug design
• Molecular design tools
• Oncology
• AI for drug design
• AI drug discovery
• AI-driven drug discovery
• Protein-ligand complexes
• Medical research
• Biomolecular modeling
• Biomolecular structure prediction
• Quantum-inspired AI
• B2B
• Cryptic pockets
• Drug discovery automation
• Molecular libraries
• Drug design pipelines
• HER2 inhibitors
• Clinical pipeline
• Target validation
• Oncology drug discovery
• Preclinical data
• High-throughput chemical synthesis
• High-throughput screening
• Targeted therapies
• Novel mechanisms of action
• Clinical trial readiness
• Multi-modal transformer
• Biomolecular complex prediction
• Discovery speed
• AI models for drug design
• AI-driven research
• Protein-ligand structure prediction
• Target engagement prediction
• Generative chemistry
• Multiparameter optimization
• Therapeutic profiles
• Biopharma collaborations
• Drug candidate discovery
• Clinical-stage assets
• Allostery
• Drug candidate optimization
• Multi-mechanism targeting
• Equivariant diffusion models
• Drug development acceleration
• Automated chemical synthesis
• Automated synthesis
• Molecular design
• Protein-protein interactions
• Target profile optimization
• Biological insights
• Drug discovery collaboration
• AI-enabled drug discovery
• Discovery automation
• Generative models
• Enchant model
• Quantum chemistry acceleration
• Allostery targeting
• Brain penetrance drugs
• Biotech innovation
• High-throughput experimentation
• Drug candidate refinement
• Government
• AI algorithms
• Biological data generation
• Targeting difficult proteins
• Biotech partnerships
• Automated experimentation
• Graph neural networks
• Multimodal transformer model
• Clinical candidate optimization
• Target product profiles
• High-quality leads
• Clinical trial design
• Data-driven predictions
• Pharmacokinetics predictions
• Cancer therapeutics
• Small molecule inhibitors
• Generative AI
• Physics-based algorithms
• Novel therapeutic targets
• AI-generated molecular designs
• Drug candidate evaluation
• Clinical-stage biotechnology
• First-in-class drugs
• Best-in-class programs
• High-throughput biology
• Data wall breaking
• AI innovations
• Enhanced therapeutic windows
• Covalent inhibitors
• Allosteric modulators
• Biochemical screening
• Metabolomic data analysis
• Biological target identification
• Novel cancer therapies
• AI technology advancement
• Collaborative drug discovery
• Automated workflows
• Antibody-drug conjugates
• Regulatory submissions
• Precision medicine approaches
• Clinical efficacy studies
• Lead optimization strategies
• Integrated AI platforms
• Therapeutic area expansion
• Drug safety assessments
• AI research collaboration
• Rapid experimental execution
• Data-efficient models
• Empowered drug hunters
• Healthcare
• Information technology & services
• Environmental services
• Renewables & environment
• Medical
• Hardware
• Hospital & health care
• Health care
• Health, wellness & fitness

Technologies Used

• AI
• Amazon AWS
• Circle
• Cloudflare DNS
• Google Font API
• HPLC
• Mailchimp Mandrill
• Microsoft Excel
• Microsoft Office 365
• Mobile Friendly
• Outlook
• Python
• Remote
• Route 53
• Wagtail CMS