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Data Party THU
Data Party THU
Jun 1, 2026 · Artificial Intelligence

Beyond AlphaFold: ESMFold2 Launches with a 1‑Billion‑Protein Open Atlas

ESMFold2, an open‑source protein‑language‑model predictor, now offers predictions for 1 billion structures and a 6.8 billion‑sequence Atlas, delivering faster, more accurate antibody and protein‑interaction designs than AlphaFold3, while demonstrating experimental success and revealing novel CRISPR‑like proteins, though atypical cases still need careful validation.

AlphaFoldESM AtlasESMFold2
0 likes · 7 min read
Beyond AlphaFold: ESMFold2 Launches with a 1‑Billion‑Protein Open Atlas
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 modelingAlphaFoldBenchmark
0 likes · 9 min read
Can China’s HelixFold 3 Rival DeepMind’s AlphaFold 3? A Deep Dive
Baidu Tech Salon
Baidu Tech Salon
May 20, 2024 · Artificial Intelligence

HelixFold-Multimer: High‑Performance Antigen‑Antibody and Peptide‑Protein Complex Structure Prediction

HelixFold‑Multimer, a new Baidu PaddleHelix model, outperforms AlphaFold 3 on antigen‑antibody and peptide‑protein complex predictions, achieving mean DockQ scores of 0.41 and 0.38 respectively and success rates up to 77 % when epitope data are used, and is already deployed in large‑molecule drug pipelines.

Deep LearningHelixFold-Multimerantibody
0 likes · 7 min read
HelixFold-Multimer: High‑Performance Antigen‑Antibody and Peptide‑Protein Complex Structure Prediction
DataFunSummit
DataFunSummit
Nov 16, 2023 · Artificial Intelligence

Application of Language Models in Molecular Structure Prediction

This talk presents how large language models are leveraged for predicting protein, antibody, and RNA structures, covering background, model stability, generative approaches, antibody-specific models, RNA modeling, and protein‑RNA interaction prediction, along with experimental results and future research directions.

AI for BiologyGenerative ModelsLanguage Models
0 likes · 17 min read
Application of Language Models in Molecular Structure Prediction