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HyperAI Super Neural
HyperAI Super Neural
Apr 15, 2026 · Artificial Intelligence

AI‑Driven De Novo Design of Small‑Molecule Binding Proteins Selective for Cortisol

A KAIST team used deep‑learning‑based protein structure generation and sequence design, employing an NTF2‑like fold as a universal backbone, to de novo create a library of small‑molecule binding proteins, successfully engineering a cortisol‑specific binder and converting it into an AI‑powered biosensor, with structural validation and specificity assays confirming high affinity and selectivity.

AI protein designAlphaFoldProteinMPNN
0 likes · 12 min read
AI‑Driven De Novo Design of Small‑Molecule Binding Proteins Selective for Cortisol
HyperAI Super Neural
HyperAI Super Neural
Nov 3, 2025 · Artificial Intelligence

Demis Hassabis Shifts DeepMind from Pure Research to AI4S, Facing Ethical Tests

The article traces Demis Hassabis’s journey from chess prodigy to DeepMind CEO, detailing the company’s transition from game‑playing breakthroughs like AlphaGo to scientific initiatives such as AlphaFold and AI4S, while examining ethical debates, Nobel‑prize controversy, and calls for global AI safety standards.

AI SafetyAI for ScienceAlphaFold
0 likes · 13 min read
Demis Hassabis Shifts DeepMind from Pure Research to AI4S, Facing Ethical Tests
Data Party THU
Data Party THU
Aug 17, 2025 · Artificial Intelligence

How BioEmu Generates Protein Conformational Ensembles Faster Than MD

Microsoft Research’s AI for Science team released the open‑source BioEmu model, a generative diffusion architecture that leverages AlphaFold’s Evoformer and extensive MD and stability data to efficiently sample protein conformational ensembles, achieving near‑MD accuracy in free‑energy and mutation stability predictions while dramatically reducing computational cost.

AlphaFoldbioinformaticsdiffusion model
0 likes · 6 min read
How BioEmu Generates Protein Conformational Ensembles Faster Than MD
HyperAI Super Neural
HyperAI Super Neural
Nov 28, 2024 · Artificial Intelligence

Why Implementing AI for Science Feels More Rewarding – Insights from Prof. Hong Liang

In an in‑depth interview, Prof. Hong Liang of Shanghai Jiao Tong University discusses the evolution of AI for Science, the challenges of turning research breakthroughs into real‑world protein‑engineering solutions, the importance of industry‑academia collaboration, and how luck, timing, and focused problem definition drive successful AI adoption.

AI for ScienceAlphaFoldIndustry-Academia Collaboration
0 likes · 13 min read
Why Implementing AI for Science Feels More Rewarding – Insights from Prof. Hong Liang
Baidu Geek Talk
Baidu Geek Talk
Sep 30, 2024 · Artificial Intelligence

Can China’s HelixFold 3 Rival DeepMind’s AlphaFold 3? A Deep Dive

This article reviews the evolution from AlphaFold 2 to AlphaFold 3, introduces Baidu's HelixFold 3 as the first domestic model matching AlphaFold 3, compares their benchmark results on small‑molecule ligands, nucleic acids and protein complexes, and explains the cloud‑based service and confidence scoring that make high‑throughput structure prediction accessible.

AI modelingAlphaFoldHelixFold
0 likes · 9 min read
Can China’s HelixFold 3 Rival DeepMind’s AlphaFold 3? A Deep Dive
Baidu Intelligent Cloud Tech Hub
Baidu Intelligent Cloud Tech Hub
Sep 12, 2024 · Artificial Intelligence

Will AlphaFold 3 Earn a Nobel? Meet China’s HelixFold 3 Rival

AlphaFold 3, released by DeepMind in May 2024, dramatically speeds protein and biomolecule structure prediction, prompting predictions of a future Nobel Prize, while China’s HelixFold 3, the first domestic model matching AlphaFold 3’s performance, offers high‑accuracy, cloud‑based services for diverse molecular interactions and drug discovery.

AI modelingAlphaFoldHelixFold
0 likes · 9 min read
Will AlphaFold 3 Earn a Nobel? Meet China’s HelixFold 3 Rival