All Competitors

Predicts CLIP-seq crosslink counts along an RNA sequence base by base, separating protein-specific signal from experimental background.

Protein-nucleic acid complex structure prediction from sequence, folding protein, DNA and RNA chains in one network with confidence estimates.

RNA foundation model pretrained on 23.7 million non-coding RNA sequences, producing embeddings for structure prediction, annotation, and RNA design.

RNA methylation site predictor combining multiple sequence encodings with dilated convolution and BiLSTM layers to identify m6A and m1A sites.

RNA language model that learns base-level embeddings capturing sequence context and secondary structure, enabling fast structural alignment.

RNA virtual screening that reads a binding site's base-pairing graph and predicts the chemical fingerprint of its ligand to rank compound libraries.

RNA-binding protein target site prediction from 1,000 bp of sequence, scoring how a noncoding variant disrupts binding across 88 RBPs.

Tissue-specific gene expression prediction from DNA sequence, scoring a noncoding variant as the log fold change it causes in each of 218 tissues.