pfnet/GenerRNA

Generative AI framework for inverse design of 3D RNA structure and function using geometric deep learning, learning design rules from 3D structures to capture complex tertiary interactions (pseudoknots, non-canonical base pairs) with expert-level accuracy for designing functional RNAs including aptamers and ribozymes (bioRxiv 2025)

General-purpose RNA language model with 650M parameters pretrained on 36M non-coding RNA sequences, achieving strong generalization on structure prediction tasks including secondary structure prediction, splice-site prediction, mean ribosome loading, and ncRNA classification (lbcb-sci, 165+ stars, Apache-2.0)

Minimal HuggingFace port of Helix-mRNA -- a hybrid Mamba2 / attention language model for full-length mRNA, trained with next-token prediction on single-nucleotide tokens with a codon-start marker.

This repository contains the model weights for Zatom-1, a general-purpose model that unifies generative modeling and representation learning of 3D molecules and materials. Introduced in Zatom-1: Towards a Multimodal Foundation Model for 3D Molecules and Materials, Zatom-1 is a Transformer trained…

EVA is a generative foundation model for universal RNA modeling and design, trained on OpenRNA v1 — a curated atlas of 114 million full-length RNA sequences spanning all domains of life.

This repository contains the model weights for Zatom-2, a unified atomistic model for generative modeling and representation learning across small molecules, periodic materials, and proteins. Introduced in Zatom-2: Multitask Pretraining on Atomistic Data for Generative Modeling across Domains,…