All Competitors

Nucleotide language model for short metagenomic reads, assigning taxonomic domain, coding potential, and reading frame from reads down to 100 bp.

Cancer genomics foundation model embedding clinical gene-panel mutations into tumor subtype vectors. Pretrained on 30,328 tumors and 8 networks.

Genomic foundation model that jointly encodes DNA sequence and functional omics tracks into unified single-nucleotide and interval-level embeddings.

Antibiotic resistance gene detection in metagenomes, pairing frozen ESM-1v embeddings with light classifier heads for drug class and mechanism.

RNA language model pretrained on 30M non-coding RNA sequences that predicts secondary structure, contacts, and splice sites without alignments.

Genomic language model predicting drug-induced translational readthrough at premature stop codons, with an R2 of 0.94 across eight compounds.

Simplex diffusion model for discrete sequence generation, with released checkpoints for DNA enhancer design and de novo protein sequence design.

Codon language model trained with synonymous-codon-constrained masking, so its embeddings encode nucleotide-level signal, not amino acid identity.

Multimodal foundation model predicting genome-wide binding of chromatin-associated proteins from protein sequence, DNA sequence, and chromatin state.

Genomic DNA foundation model using ELECTRA-style replaced-token detection and single-nucleotide tokenization; 93M parameters rival 2.5B baselines.

All-atom structure prediction for arbitrary biomolecular complexes of proteins, nucleic acids, and ligands, with code and weights under a BSD license.

Cas9 PAM preference prediction from protein sequence with an ESM-2 backbone, extending PAM annotation to 50,308 metagenome-mined orthologs.

Brain MRI model for noninvasive IDH genotyping of glioma, adapting a pretrained SWIN-UNETR backbone to reach 90.6% AUC on an external cohort.

Influenza genomic language model adapting DNABERT-2 to ~900,000 viral genomes, identifying subtypes, segments, and pathogenicity from sequence.

Histopathology and multi-omics foundation model pretrained with masked omics modeling on 4,718 pan-cancer TCGA cases spanning 32 cancer types.

Bacteriophage gene function prediction from genomic synteny, pairing protein language model embeddings with circular attention. AUC above 0.84.

DNA foundation model for germline variant pathogenicity, pretrained on 27 mammalian genomes and fine-tuned on ClinVar and HGMD for SNVs and indels.

Drug perturbation model predicting post-treatment gene expression from a cell's baseline profile and compound structure, zero-shot on unseen drugs.

Long-sequence DNA foundation model with groove-aware convolutions and reverse-complement gating over 100kb contexts. Averages 0.708 MCC on GUE.

Gene expression prediction from candidate cis-regulatory elements, fusing DNA sequence, TF binding scores, and epigenomic tracks in a CNN-transformer.

Whole-genome epigenetic foundation models reading DNA methylation and sequence jointly to detect Alzheimer's and Parkinson's from plasma cfDNA.

Splicing variant effect prediction across 49 human tissues and 15 developmental stages, from four weeks post conception to adulthood.

Bacterial genomics foundation model reading whole genomes as ordered protein sequences. Predicts operons, gene essentiality, and phenotypic traits.