R&D

Boost Beyond Boundaries

AI Platform

Trans-Dock AI Platform
An intelligent AI platform designed to minimize development risks
by accelerating target discovery and drug optimization through CNS big data,
alongside precise ADMET and BBB profiling.

Platform Architecture & Workflows

Trans-Dock AI Platform

Integrated AI Platform for Compound Data, Property Prediction, Binding Analysis, and Protein Structure Modeling

Users & Access

연구원, 프로젝트 관리자, 관리자 아이콘Researchers, Project Managers, Administrators 화살표
웹 브라우저 / 내부 네트워크 테일스케일 VPN 아이콘Web Browser, Internal Network / Tailscale VPN 화살표

Presentation Layer iconPresentation Layer

Web Interface (Flask)

Landing / Home, Login & User Management, Job Submission UI, Compound & Assay Pages,
Result Dashboard, Admin Console

Application /	Orchestration Layer icon Application /
Orchestration Layer

Input DataValidationJob ExecutionAI InferenceResult StorageVisualization

Application & Orchestration Layer

Route Handlers, Form Validation, Job Manager, File Handling, Result Aggregation, Audit / Logs,
Authentication / Authorization

화살표 화살표 화살표

Data Management Layer iconData Management Layer

화살표

Data Management

SQLite Service DB users, jobs, logs, results

Job Workspace / File Storage inputs, outputs, reports

Compound Database compound metadata, inventory, assay data

AI / Scientific Compute Layer iconAI / Scientific Compute Layer

화살표

AI & Scientific Pipelines

Property Prediction ADMET /
physicochemical properties

Binding Analysis ligand-protein workflows

Protein Structure Modeling Boltz /
structure inference

3D / RDKit Processing SMILES standardization, stereochemistry, descriptors

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Outputs
  • Prediction Tables icon Prediction Tables
  • Interactive Result Views icon Interactive Result Views
  • Downloadable Files icon Downloadable Files
  • Research Reports icon Research Reports
  • Compound Knowledge Base icon Compound Knowledge Base

KEY POINT*

Big Data Analysis and Acceleration for CNS Diseases

Dramatically accelerates the processes of novel target discovery, 'Hit-to-Lead (H2L)' identification, and 'Lead optimization' based on CNS disease-related big data analysis.

Big Data Analysis and Acceleration for CNS Diseases

Reliable Prediction-Based Optimization of BBB Permeability

Accurately predicts drug ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) profiles and Blood-Brain Barrier (BBB) permeability in advance, minimizing clinical failure risks from the early stages of development.

Reliable Prediction-Based Optimization of BBB Permeability