All Competitors

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

Controllable DNA sequence design conditioned on cell type, transcription factor, or activity signal, in GPT- and BERT-style transformer variants.

Species-conditioned codon language model that jointly reads 5'UTRs, coding sequence, and RNA secondary structure to design native-like genes.

Nanomaterial-protein interaction prediction from protein sequence, structure, and experimental context that generalizes to unseen materials.

Structure-based drug design model that inpaints a 3D ligand density into an empty protein pocket, then decodes those voxels into valid SMILES.

RNA language model built on the xLSTM recurrent architecture instead of a transformer backbone, pretrained on RNAcentral with 33.7M parameters.

Structure-based drug design model that generates 3D ligands inside a protein pocket by interpolating distribution parameters instead of samples.

Antibody inverse folding by discrete diffusion, sampling sequences that fold onto a given backbone. Generates varied CDRs at high sequence recovery.

Sparse autoencoder for blood-cell microscopy that decomposes hematology foundation model embeddings into expert-validated sub-cellular concepts.

Bacterial promoter annotation and expression prediction from a 1.8M-parameter transformer pretrained on 9M gammaproteobacterial regulatory regions.

Synthesizable 3D molecule generation that jointly samples building blocks, reactions, and atomic coordinates, returning a synthesis route per design.

Attention-based multiple instance learning heads for whole-slide pathology, pretrained on a 108-way pan-cancer slide classification task.

Scoring function for protein, nucleic acid, and small-molecule complexes that predicts binding affinity, ranks docked poses, and screens ligands.

Plant immune receptor-ligand classifier that scores MAMP epitope immunogenicity from sequence, reaching 73% accuracy on a held-out test set.

Spatial transcriptomics foundation model pairing gene-scale cell embeddings with an SE(2) Transformer over cell coordinates, pretrained on 88M cells.

Enzyme Commission number prediction that pools ESM Cambrian embeddings across unlabeled sequence homologs, scoring 0.788 F1 on full 4-digit EC.

Protein multi-conformation predictor that scores per-residue flexibility, then masks MSA columns to steer AlphaFold 2 toward alternative states.

Conditional chemical language model prompted with a protein target and mechanism of action to score and design molecules without structural input.

Protein-DNA binding free energy change prediction for missense mutations, with double- and single-stranded DNA binders modeled separately.

Cytometry foundation model for immunology, pretrained by masked-marker prediction on over 100 million immune cells from 53 public ImmPort studies.

Protein foundation model built on Bayesian Flow Networks, prompted with MSA profiles for structure- and function-preserving sequence design.

Fungal genome mining framework that detects biosynthetic gene clusters and identifies their core enzymes from a pretrained Pfam-domain transformer.

Antibody, nanobody, and T-cell receptor structure prediction that resolves bound and unbound conformations separately in under a second per domain.