All Competitors

Graph neural network that predicts magnesium ion binding sites on RNA structures, powering SAXS-based validation of RNA solution conformations.

RNA secondary structure and 3D motif prediction from alignments, using a probabilistic grammar that places over 50 known motifs by covariation.

Protein and RNA sequence annotation that also names the residues driving each label, learned from sequence-level supervision alone.

RNA backbone torsion and pseudo-torsion angle prediction from sequence alone, built by fine-tuning a DNABERT checkpoint on solved RNA structures.

Codon optimization framework pairing a frozen ProtBert encoder with a masked codon head, so every designed coding sequence translates back exactly.

RNA foundation model with 1.6 billion parameters, pretrained on 42 million non-coding RNA sequences for structure prediction and RNA sequence design.

RNA-binding protein binding profiles predicted base by base across 800 bp windows, with an m6A signal channel that exposes methylation-RBP crosstalk.

Histopathology model predicting extrachromosomal DNA status from routine H&E slides by first inferring the tumor transcriptome from tile features.

RNA foundation models that learn their own character-level tokenization instead of fixed nucleotide or k-mer vocabularies. Sizes run 8M to 650M.

Whole-genome somatic copy-number aberration prediction from bulk RNA-seq alone, with one pan-cancer model covering 33 tumor types.

RNA language model built from bidirectional Mamba2 blocks with a flash-attention head, pretrained on 100 million sequences up to 2,048 nucleotides.

Poly(A)-tail length change predicted from mRNA 3' UTR sequence in maturing oocytes, scoring how single-nucleotide variants disrupt tail lengthening.

End-to-end RNA 3D structure prediction from sequence alone, coupling the RNA-FM language model with an Invariant Point Attention structure module.

Demultiplexer for direct RNA nanopore sequencing that basecalls the DNA barcode inside the RT adapter, reaching 99% precision on up to 96 barcodes.

Dual-language transformer pretrained on paired protein and mRNA coding sequences, scoring protein and mRNA properties and generating optimized CDS.

Multimodal RNA chat model pairing a frozen RNA-FM encoder with a Llama-3 8B backbone to answer natural-language questions about a submitted sequence.

Genomic language model that labels adapter sequences in nanopore direct-RNA reads base by base, then splits the chimeric reads those adapters create.

All-atom structure tokenizer that turns proteins, RNA and small molecules into discrete 3D tokens and decodes them back below 1 Å RMSE.

Direct RNA nanopore basecaller pairing a densely connected 1D CNN and CTC decoder with a Random Forest classifier that demultiplexes 24 barcodes.

Codon-tokenized mRNA language model whose hierarchical loss scores codon errors by synonymity, pretrained on 15.3M curated antibody mRNAs.

Mixed-modal DNA, RNA, and protein foundation model at 110M and 270M parameters, with in-context learning across sequence modalities.

RNA folding kinetics model that predicts the full distribution of first passage times from a few simulated examples in a single forward pass.

Codon-resolution language model suite pairing a bidirectional encoder with an autoregressive decoder over protein-coding sequences.