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HyperAI Super Neural
HyperAI Super Neural
Mar 16, 2026 · Artificial Intelligence

AI‑Driven Quantum Refinement: AQuaRef Enables Full‑Atom Protein Model Optimization with Quantum Constraints

A collaborative team from Carnegie Mellon, Wrocław, and Florida universities introduced AQuaRef, an AI‑powered quantum refinement method that leverages the AIMNet2 machine‑learning potential to achieve near‑classical‑force‑field speed while closely approximating quantum‑mechanical results for full‑atom protein models, outperforming traditional restraints on low‑resolution structures.

AIAIMNet2Machine Learning Potentials
0 likes · 16 min read
AI‑Driven Quantum Refinement: AQuaRef Enables Full‑Atom Protein Model Optimization with Quantum Constraints
Data Party THU
Data Party THU
Aug 21, 2025 · Artificial Intelligence

How AI Is Unlocking the Design of Proteins That Target Disordered Regions

This article reviews the AI‑driven Logos strategy for designing proteins that can bind intrinsically disordered protein regions, detailing scaffold generation, pocket specialization, RFdiffusion‑based assembly, threading, experimental validation, and its broader impact on drug discovery for diseases such as cancer and Alzheimer’s.

AIProteinMPNNRFdiffusion
0 likes · 14 min read
How AI Is Unlocking the Design of Proteins That Target Disordered Regions
Data Party THU
Data Party THU
Aug 2, 2025 · Artificial Intelligence

How the All-Atom Protein Generative Model (APM) Redefines Multi‑Chain Design

The All‑Atom Protein Generative Model (APM) introduced by Hunan University, UCAS and ByteDance Seed combines full‑atom representation, multi‑chain native modeling, and novel flow‑matching techniques to outperform existing SOTA methods on folding, reverse‑folding, antibody and peptide design tasks, backed by a curated multi‑source dataset and extensive benchmarks.

Structural Biologyall‑atom modelbioinformatics
0 likes · 13 min read
How the All-Atom Protein Generative Model (APM) Redefines Multi‑Chain Design