Skip to content
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 2 additions & 4 deletions README.md
Original file line number Diff line number Diff line change
@@ -1,8 +1,7 @@
# RNAPro: An accurate RNA structure prediction model by Kaggle synthesis

### Model Description
RNAPro is a state-of-the-art RNA 3D folding model developed in collaboration with the hosts and winners of the [Stanford RNA 3D Folding Kaggle competition.
](https://www.kaggle.com/competitions/stanford-rna-3d-folding) The model incorporates RNA-specific modules — including template modeling, multiple sequence alignment (MSA), and a pretrained RNA language model — to enhance RNA structure prediction performance. Read more about the kaggle competition and model in the [preprint](https://www.biorxiv.org/content/10.64898/2025.12.30.696949v1).
RNAPro is a state-of-the-art RNA 3D folding model developed in collaboration with the hosts and winners of the [Stanford RNA 3D Folding Kaggle competition.](https://www.kaggle.com/competitions/stanford-rna-3d-folding) RNAPro combines RNA-specific modules including template modeling, multiple sequence alignment (MSA), and a pretrained RNA foundation model, especially, RibonanzaNet2 with Protenix to enhance RNA structure prediction performance. Read more about the kaggle competition and model in the [preprint](https://www.biorxiv.org/content/10.64898/2025.12.30.696949v1).


## Installation
Expand Down Expand Up @@ -38,7 +37,6 @@ Run step 1., and inside the container, run step 3.
For more detailed instruction steps, check the [<u>Docker Installation</u>](docs/docker_installation.md) guide.



## Train Models

### 1. Data preparation
Expand Down Expand Up @@ -250,4 +248,4 @@ We thank Stanford Das Lab, HHMI, the co-hosts and winners of the Stanford RNA 3D

Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.<br>
The source code is made available under Apache-2.0.<br>
The model weights are made available under the [NVIDIA Open Model License](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/).
The model weights are made available under the [NVIDIA Open Model License](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/).