A robust, open-source framework for RNA inverse design in 2D and 3D. Unified environments, curated datasets, and state-of-the-art algorithms.
Design sequences from secondary structures including complex pseudoknots. Benchmarked against diverse datasets including Eterna100v2 and Rfam.
Reconstruct RNA sequences from full 3D PDB structures. Includes specialized processing for converting 3D coordinates into algorithmic tensors.
Immediate access to 12+ machine learning algorithms. Design sequences, optimize G-C content, and minimize free energy without local installation.
Through RNAInvBench, we aim to promote reproducible, comparable, and extensible benchmarking for the global RNA design research community.
Covers both secondary and tertiary design. Secondary design consists of four core tasks (including pseudoknots and constraints), whereas tertiary design focuses on reverse-engineering 3D structures.
We provide easy access to a large collection of RNA secondary and tertiary inverse folding algorithms through an integrated web server.
Includes large pseudoknot-free and pseudoknot-inclusive sets (Rfam, Eterna100v2), plus curated tertiary structure benchmarks from RNAsolo and CASP15.