protein design
PulseAugur coverage of protein design — every cluster mentioning protein design across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Google DeepMind offers free Gemini 4 Argon access to 10,000 scientists
Google DeepMind is making its Gemini 4 Argon model accessible to 10,000 scientists for six months to accelerate research. The model has demonstrated significant capabilities, including compressing enzyme engineering to …
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LLM agents enhance protein design with novel search framework
Researchers have developed ELMS (Evidence-based LLM-guided Monte Carlo Search), a novel framework for protein design that leverages Large Language Model (LLM) agents to improve motif scaffolding. Unlike traditional gene…
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Hangzhou AI team launches Lévin™ Harness for integrated protein design
Hangzhou-based AI company Liwen Institute has launched Lévin™ Harness, an Agent-based platform designed to streamline the AI for Science workflow, particularly in protein design. This platform integrates data, models, t…
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Anthropic's Claude model autonomously designs proteins with high success rate
Anthropic has demonstrated that its Claude language model can autonomously manage the entire protein design process, a critical stage in drug development. In testing, Claude achieved a 35% success rate in designing smal…
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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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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 …
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New flow-matching models offer advanced control for generative tasks
Researchers have developed two novel approaches to enhance flow-matching generative models. One method, HardFlow, reframes hard-constrained sampling as a trajectory optimization problem, allowing precise constraint sati…