HyperLab Blog - AI

HyperLab SAR Analysis automates Excel manual work, enabling comparison and visualization of AI predictions and experimental values in one place, allowing for rapid prioritization of derivative design and experiments.

Hyper Binding Co-folding accurately predicts ligand binding structures and activity using only protein sequences, surpassing traditional docking limitations and revolutionizing early-stage drug discovery decisions.

In an interview, S2Cbio's research director lauds HyperLab's AI-driven, web-based platform for streamlining drug development with integrated protein prediction and compound design.

HyperLab’s Hyper Screening, In-house Screening, and Hyper Screening X transform drug discovery. Hyper Screening delivers a 9% hit ratio, boosting efficiency in identifying active compounds.

We've taken an early look at key ICML 2025 papers on drug discovery, bioinformatics, and molecular generation.

Hyper Binding Co-folding builds on AlphaFold3 to enhance precision and usability, boosting accuracy and efficiency in drug discovery.

"HyperLab 2.0," equipped with more advanced features and workflows, has been released.

The HyperLab AI assistant is an LLM-based tool specialized for drug development, automating tasks from literature review to data analysis to maximize research productivity.

The $500B “Stargate Project” — What’s behind President Trump’s bold move, and what does it really mean?

Introduces the concept of deep learning architecture and compares two representative models: Transformer and Titans.