UniProtKB
PulseAugur coverage of UniProtKB — every cluster mentioning UniProtKB across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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Generative AI Transforms Bioinformatics: A Systematic Review
A systematic review published on arXiv examines the impact of generative artificial intelligence (GenAI) on bioinformatics, covering models, applications, and methodological advancements. The review found that GenAI sig…
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AI Co-Scientist Workflow Targets EGFR Inhibitor Resistance
Researchers have developed an AI co-scientist workflow to discover new EGFR inhibitors, specifically targeting the C797S mutation that causes resistance to existing treatments. The process involves using ChEMBL and UniP…
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PairSAE method enhances interpretability in protein co-folding models
Researchers have developed PairSAE, a novel method for achieving mechanistic interpretability in protein co-folding foundation models. Unlike standard sparse autoencoders that struggle with the quadratic feature explosi…
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New AI method audits protein models for hazardous designs
Researchers have developed VFUSE, a novel approach using Sparse Autoencoders (SAEs) to interpret generative protein models like RoseTTAFold3 and RFDiffusion3. This method aims to identify and understand features associa…
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Google DeepMind launches AI toolkit to speed up life science research
Google DeepMind has developed a new AI toolkit called Science Skills for Google, designed to accelerate research workflows. This toolkit integrates insights from over 30 major life science sources, including UniProt and…
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BioTool dataset enhances LLM biomedical tool-calling capabilities
Researchers have developed BioTool, a new dataset aimed at improving the ability of large language models to utilize specialized biomedical tools. The dataset includes 34 tools from major databases and over 7,000 human-…
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AI model CRC-Screen certifies DNA synthesis orders against hazards
Researchers have developed a new method called CRC-Screen to improve the accuracy of screening DNA synthesis orders for potential hazards. The system addresses a critical flaw in current methods where screening fails wh…
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AI interprets protein models to detect biological risks
Researchers have developed a new method called SAEBER, utilizing Sparse Autoencoders (SAEs) to analyze protein design models like RFDiffusion3 and RoseTTAFold3. This technique identifies features within the models that …