Hyper Lab Blog - AI
Discuss AI-related issues on the Hyper Lab blog.
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AI
The Evolution of AI Drug Discovery: Past, Present, and Future
Here’s why AI drug development is gaining attention, along with its past, present, and future at a glance
히츠 하이퍼랩 팀2025.03.21

AI
Hyper Screening X : World's Largest Molecular Library Powers the Future of Drug Development
Hyper Screening X utilizes RxnFlow to efficiently explore a 7-trillion-compound ultra-large library, identifying innovative drug candidates with low binding energy and over 60% synthetic feasibility.
Jaechang Lim, CTO2025.03.14

AI
The First AI-Physics Hybrid Docking: Advancing Drug Development Accuracy
In this article, we introduce the development background and outstanding performance of PIGNet, which overcomes the limitations of traditional molecular docking by integrating deep learning with physical laws.
Jaechang Lim, CTO2025.03.07

AI
ICLR 2025 Preview
Introducing the AI-driven drug discovery research unveiled at ICLR 2025: RxnFlow, DynamicFlow, and NEXT-MOL
Sunghan Bae, AI Researcher2025.02.17

AI
DeepSeek AI : A Breakthrough in AI Efficiency
DeepSeek AI has recently emerged as a major player in the AI industry, offering cutting-edge models with high performance at a significantly lower cost.
Hyunkyu Lee, AI Researcher2025.02.11

AI
Beyond LLMs: The Future of AI-Driven Protein Design
Big Tech's AI race is shifting from LLMs to protein design. Google DeepMind and OpenAI are taking different approaches, sparking anticipation for breakthroughs in life sciences and drug development.
Junhyeok Jeon, AI Researcher2025.02.05

AI
Advancing Drug Discovery: A Czech Researcher’s Experience with Hyper Lab
We interviewed Prof. Jan Korabecny and Barbora Svobodova, drug discovery researchers at the Biomedical Research Center at the Czech University Hospital, about their experience with Hyper Lab.
HITS Hyper Lab TEAM2025.01.03

AI
The 30-Year-Old Secret Behind AlphaFold's Success
Originally developed 30 years ago, the traditional MSA technique has dramatically enhanced AlphaFold’s protein structure prediction accuracy, bringing it back into the spotlight after years of relative obscurity.
Junhyeok Jeon, AI Researcher2024.12.16

AI
Protein Structure Based Drug Design - Docking Environment Setup
Did you know that molecular docking, a key tool in drug discovery, can yield vastly different results depending on how you configure settings like thoroughness, scoring functions, and flexible residues?
Sehan Lee, AI research 2 Team Lead2024.11.29

AI
Innovation and Future of Ultra-large Compound Libraries
Ultra-large compound libraries leverage DEL technology and AI to increase the efficiency of drug discovery, expanding chemical diversity and the potential for hit discovery.
Jaechang Lim, CTO2024.11.29