Artificial Intelligence - Sunshine Lake Pharma Co., Ltd.

R&D Ecosystem Innovation Achievements Artificial Intelligence

R&D Innovation

R&D Ecosystem Innovation Achievements Artificial Intelligence

AI Empowers for "New Drug R&D Project"

In 2023, Sunshine Lake Pharma collaborated with Huawei Cloud on AI-driven drug R&D, optimizing high-precision drug molecular properties and structures based on Huawei's Pangu Drug Molecular Large Model to build a one-stop, out-of-the-box large model drug R&D platform spanning from drug discovery to pharmaceutical processes.

In May 2024, Sunshine Lake Pharma signed a comprehensive cooperation agreement with Huawei Cloud Computing Technologies Co., Ltd., aiming to leverage their respective expertise and technological advantages to create new AI R&D models, build an "AI+ Pharmaceutical Large Model Ecosystem," establish industry AI model benchmarks, and lead industry innovation.

Building a Full-Scenario AI-Assisted Drug R&D System

Sunshine Lake Pharma established an AI development team to conduct targeted and differentiated AI technology development, focusing on enhancing automation and intelligence in the drug discovery process to better support Sunshine Lake Pharma 's unique drug pipeline.

ADMET Property Prediction Platform

HEC-ADMET utilizes machine learning models to predict absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties of small molecule drugs, featuring online model training capabilities. The baseline model supports prediction for 8 physicochemical properties, 22 ADME properties, and 19 toxicity properties. The platform enables online development of AI models for small molecule ADMET property prediction with multi-task mode support, helping users maximize the value of proprietary data.

Molecular Screening Platform

HEC-MS is an easy-to-use, efficient molecular database search and screening platform. Its molecular database search features keyword search, data download, and visualization. The screening function enables similarity searches across billion-scale molecular databases with second-level response times.

Information Recognition and Extraction Platform

HEC-OCR is an easy-to-use, efficient OCR information recognition and extraction platform. It recognizes and extracts text information, molecular structures, and molecular reaction structures from images, supporting multiple languages including specialized text like "small nucleic acid sequences."

Synthesis Prediction and Pathway Planning Platform

By integrating advanced AI technologies and rich chemical data resources, this platform helps researchers rapidly identify viable synthesis routes during drug discovery. It provides retrosynthetic analysis, reaction prediction, and experimental condition optimization.

Large Model Application Exploration Platform

This platform leverages multimodal large model technology to provide services including smart office solutions, intelligent agents, and knowledge graphs.

Digital-Intelligent Transformation in Pharmaceutical R&D and Production

High-quality data is crucial for AI empowerment. Sunshine Lake Pharma has accumulated vast drug R&D datasets and is implementing data governance to build proprietary data lakes and knowledge graphs, enhancing data asset value. Concurrently, Sunshine Lake Pharma is planning and constructing automated smart laboratories (factories) to elevate drug R&D automation and intelligence.

AI empowerment represents a strategic technological revolution potentially impacting every business operation, scenario, and individual. With a pragmatic "present-focused, future-oriented" approach, Sunshine Lake Pharma implements comprehensive AI empowerment across all scenarios and processes while actively leading innovative development in the industry ecosystem.