Sunshine Lake Pharma Launches AI-Powered PROTAC Platform to Target Undruggable Proteins

Sunshine Lake Pharma Launches AI-Powered PROTAC Platform to Target Undruggable Proteins

Sunshine Lake Pharma Co., Ltd. (HKG: 6887) announced the launch of an AI-powered R&D platform focused on the proteolysis targeting chimera (PROTAC) mechanism, designed to accelerate rational design and clinical translation of PROTAC lead compounds. The platform addresses the 80% of disease-associated human proteins currently considered “undruggable” by traditional small-molecule approaches.

Platform Launch

ItemDetail
CompanySunshine Lake Pharma Co., Ltd. (HKEX: 6887)
Platform NamePROTAC Intelligent R&D Platform
Technology FocusAI-driven PROTAC molecule design
Core DatabaseHEC-PROTAC DB (high-quality, structured PROTAC-specific database)
Launch Date8 Jan 2026
Key InnovationSystematic integration of molecular structures, degradation activity, physicochemical properties, and PK parameters

Technology Profile

  • PROTAC Mechanism: Leverages cellular ubiquitin-proteasome system to induce targeted protein degradation, offering catalytic action, resistance-overcoming potential, and lower toxicity vs. traditional inhibitors
  • Market Gap: ~80% of disease-associated proteins lack suitable binding pockets, making them inaccessible to conventional small molecules
  • Design Challenges:
  • Complex ternary complex formation (POI-PROTAC-E3 ligase) requires precise spatial orientation
  • Fragmented experimental data across patents, literature, and clinical pipelines
  • Lack of unified standards hinders AI model training
  • Development remains heavily reliant on empirical trial-and-error
  • AI Solution: Sunshine’s platform applies generative AI and graph neural networks to predict optimal PROTAC architectures, reducing design cycles by an estimated 60‑70%

Database & AI Integration

Data ModuleContent
Molecular Structures>50,000 PROTAC molecules from patents, literature, and clinical pipelines
Degradation ActivityDC₅₀, D_max, t½ degradation kinetics across 200+ targets
Physicochemical PropertiesMW, logP, TPSA, H-bond donors/acceptors, solubility
Pharmacokinetic ParametersCL, Vd, F%, half-life, oral bioavailability data
Modular AnalysisPOI ligand (target binder), Linker (spatial optimizer), E3 ligand (ubiquitin recruiter) separately parameterized
  • HEC-PROTAC DB enables quantitative structure-degradation relationship (QSDR) modeling
  • AI workflows generate Linker libraries optimized for ternary complex geometry, E3 ligand efficiency, and drug-like properties simultaneously

Market Context & Competitive Landscape

Parameter2026E2027E2028E
Global PROTAC Market$1.8 billion$3.2 billion$5.5 billion
AI-Driven PROTAC Share5 %12 %25 %
Sunshine Platform Value¥500 million¥1.2 billion¥2.8 billion
Pipeline Candidates (est.)3 programs6 programs10 programs
  • Competitive Landscape:
  • Arvinas (US) and C4 Therapeutics (US) lead clinical-stage PROTACs (ARV-471, CFT8919) but rely on traditional med-chem
  • Kymera (US) focuses on IRAK4/STAT3 with AI assistance but lacks integrated platform
  • Insilico Medicine (HK) uses AI for degrader design but no dedicated PROTAC database
  • Sunshine’s Differentiation: First China-based AI-PROTAC platform with proprietary structured database; modular AI enables multi-parameter optimization vs. single-target focus

Strategic Positioning

  • Pipeline Acceleration: Platform targets oncology (undruggable transcription factors) and autoimmune (kinase degraders) indications; first IND filing expected 2027
  • Partnership Potential: Sunshine in discussions with MNCs for platform licensing (estimated $50‑80 million upfront per target) and co-development deals
  • Technology Moat: HEC-PROTAC DB is closed-loop (internal data continuously fed back into AI models), creating self-reinforcing accuracy improvements
  • Financial Impact: Platform expected to reduce R&D costs by ¥200 million/year and shorten preclinical timelines from 48 months to 18 months

Forward‑Looking Statements
This brief contains forward‑looking statements regarding Sunshine Lake Pharma’s AI platform capabilities, pipeline advancement, and market positioning. Actual results may differ due to AI model accuracy, target tractability, competitive dynamics, and regulatory acceptance of AI-designed molecules.-Fineline Info & Tech