protein
PulseAugur coverage of protein — every cluster mentioning protein across labs, papers, and developer communities, ranked by signal.
5 day(s) with sentiment data
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New Python ecosystem standardizes biomolecular sequence models
A new open-source Python ecosystem called MultiMolecule has been developed to standardize and facilitate the reuse of biomolecular sequence models. It provides a modular framework for handling RNA, DNA, and protein sequ…
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Post-training stages critically shape biological reasoning models, study finds
A new study has investigated how different post-training stages impact the performance and generalization capabilities of biological reasoning models. Researchers trained over 100 models across genomics, transcriptomics…
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Post-training stages critically shape biological reasoning models' generalization
A new study on over 100 biological reasoning models reveals that post-training stages significantly impact generalization capabilities. Continued pre-training aligns models with biological language, while supervised fin…
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AI model DeepRHP aids design of protein-mimicking heteropolymers
Researchers have developed DeepRHP, a hybrid variational autoencoder designed to aid in the creation of synthetic random heteropolymers that can mimic protein functions. This model uses a semi-supervised framework, inco…
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New DeCAF framework speeds up biomolecular structure generation
Researchers have developed a new framework called DeCAF to accelerate the process of generating 3D biomolecular structures. This method distills existing all-atom cofolding models into more efficient flow maps, signific…
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Nanobodies engineered to light up cellular processes
Researchers have developed a novel method using nanobodies, which are smaller antibody fragments, to visualize processes within living cells. These specially engineered nanobodies are tagged with fluorescent labels and …
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Traditional ML and Deep Learning Tied in Protein Structure Classification
A new study on arXiv compares traditional machine learning (ML) with deep learning (DL) for protein structure classification using dynamic graph representations. The research found that for most datasets, traditional ML…
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AI maps 1.1 billion proteins, accelerating drug discovery
Artificial intelligence has been used to map over 1.1 billion proteins, creating a comprehensive resource for biological research and drug discovery. This extensive dataset is expected to accelerate scientific understan…
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New AI models generate functional RNA sequences for protein interaction
Researchers have developed Moirain, a new suite of models for generating RNA sequences that can interact with specific proteins. This approach uses multimodal supervised fine-tuning and Direct Preference Optimization, b…
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EPFL AI generates complete protein models and their dynamics
Researchers at EPFL have developed a neural network capable of generating complete all-atom models of proteins. This AI-driven approach also captures the dynamic movements essential to protein function, significantly st…
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Deep learning revolutionizes single-cell sequencing for biological discovery
Deep learning techniques are playing a crucial role in advancing single-cell sequencing (sc-seq) technologies, which allow for the detailed analysis of individual cells. Sc-seq methods, recognized as a significant advan…