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New AI models generate functional RNA sequences for protein interaction

By PulseAugur Editorial · [1 sources] ·

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, building on large-scale pretraining of RNA corpora. Moirain aims to improve the success rate of functional RNA design by conditioning generation on protein structural and sequential features, and refining the model with synthetic interaction data to enhance binding affinities. AI

IMPACT Introduces a novel AI framework for designing functional RNA molecules, potentially accelerating drug discovery and synthetic biology.

RANK_REASON The cluster contains a new academic paper detailing a novel AI model for a specific scientific application. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New AI models generate functional RNA sequences for protein interaction

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The cluster contains a new academic paper detailing a novel AI model for a specific scientific application. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Roman Klypa, Alberto Bietti, Sergei Grudinin ·

    Multimodal Alignment and Preference Optimization for Zero-Shot Conditional RNA Generation

    arXiv:2605.23961v1 Announce Type: cross Abstract: The design of RNA molecules that interact with specific proteins is a critical challenge in experimental and computational biology. Despite recent progress in natural language modeling and deep learning-based protein design, there…

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