🧬 Computational Biology¶

💬 ACL2026 · 2 paper notes

AROMA: Augmented Reasoning Over a Multimodal Architecture for Virtual Cell Genetic Perturbation Modeling: This paper proposes the AROMA framework, which integrates textual evidence, knowledge graph topological information, and protein sequence features within a multimodal architecture, combined with a two-stage training strategy (SFT + GRPO), to achieve interpretable and accurate prediction of genetic perturbation effects.
ProtoCycle: Reflective Tool-Augmented Planning for Text-Guided Protein Design: ProtoCycle proposes a reflective agent framework that positions an LLM as a planner coupled with a lightweight tool environment for text-guided protein sequence design. Through a multi-round feedback-driven decision loop and online reinforcement learning training, the framework achieves strong language alignment while maintaining competitive foldability.