#structural-biology News & Analysis

3 articles tagged with #structural-biology. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AIBullisharXiv – CS AI · Mar 55/10

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Cryo-SWAN: the Multi-Scale Wavelet-decomposition-inspired Autoencoder Network for molecular density representation of molecular volumes

Researchers developed Cryo-SWAN, a new AI autoencoder network that uses wavelet decomposition to better represent 3D molecular structures from cryo-electron microscopy data. The model outperforms existing 3D autoencoders on multiple datasets and can integrate with diffusion models for molecular shape generation and denoising.

AIBullisharXiv – CS AI · Mar 36/103

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Protein Structure Tokenization via Geometric Byte Pair Encoding

Researchers have developed GeoBPE, a new protein structure tokenization method that converts protein backbone structures into discrete geometric tokens, achieving over 10x compression and data efficiency improvements. The approach uses geometry-grounded byte-pair encoding to create hierarchical vocabularies of protein structural primitives that align with functional families and enable better multimodal protein modeling.

AINeutralarXiv – CS AI · Mar 27/1012

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Representing local protein environments with atomistic foundation models

Researchers developed a novel method to represent local protein environments using atomistic foundation models (AFMs), creating embeddings that capture both structural and chemical features. The approach enables construction of data-driven priors for biomolecular environments and achieves state-of-the-art accuracy in physics-informed chemical shift prediction for NMR spectroscopy.