ribonucleic acid
PulseAugur coverage of ribonucleic acid — every cluster mentioning ribonucleic acid across labs, papers, and developer communities, ranked by signal.
4 day(s) with sentiment data
-
New multimodal model MKB unifies scientific domains for AI-driven discovery
Researchers have introduced Monkey King Bang (MKB), a novel multimodal foundation model designed for scientific discovery across diverse domains. MKB utilizes a shared Transformer backbone with specialized components fo…
-
NLP techniques applied to biological sequence analysis reviewed
A recent review paper explores the application of Natural Language Processing (NLP) techniques to analyze biological sequence data, including genomics, transcriptomics, and proteomics. The paper details how various NLP …
-
AI model RNAbpFlow predicts RNA structures; storage firms sued; Korea invests
Scientists have developed an AI model called RNAbpFlow that can accurately predict the 3D structure of RNA with less data. This model performs comparably to DeepMind's AlphaFold 3 and could accelerate the development of…
-
New scBench-Long benchmark tests AI in complex single-cell biology analysis
Researchers have introduced scBench-Long, a new benchmark designed to evaluate AI agents' capabilities in complex, multi-step single-cell biology analysis. Unlike previous benchmarks that focused on broad knowledge or l…
-
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…
-
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…
-
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…
-
AI Leaders Urge Congress to Mandate DNA Order Screening
Leading AI executives, including Sam Altman of OpenAI and Dario Amodei of Anthropic, have signed an open letter to the US Congress advocating for mandatory screening of synthetic DNA and RNA orders. They warn that advan…
-
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…
-
Google Research unveils NucleoBench and AdaBeam for AI-driven nucleic acid design
Google Research, in collaboration with Move37 Labs, has introduced NucleoBench, a new open-source benchmark for evaluating nucleic acid sequence design algorithms. This benchmark, which involved over 400,000 experiments…
-
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…