All Competitors

Sequence-to-function model predicting cell-type- and disease-specific gene expression from DNA, trained on pseudobulk profiles from 22 million cells.

Knowledge-informed cross-species foundation model pre-trained on 101 million human and mouse single-cell transcriptomes to decipher gene regulation.

Multi-modal protein foundation model aligning 3D structure and literature text to a sequence anchor through contrastive pretraining.

Structure-based drug design that generates molecules as synthetic pathways over 1.2M purchasable building blocks, so each design carries its route.

Convolutional ECG foundation model trained on expert annotations spanning 150 diagnostic categories, with 12-lead and single-lead wearable variants.

Discrete flow-matching generator for molecular and cell graphs, with sampling decoupled from training so a checkpoint is retuned, not retrained.

Multimodal LLM for inverse molecular design, interleaving text and graph generation with a diffusion transformer and A* retrosynthetic planning.

Protein sequence embedding method that pools a language model's token outputs by PageRank over its own attention, adding no trained parameters.

Diffusion model for de novo protein backbone design that learns a 32-dimensional latent code for global fold geometry and generates conditioned on it.

Perturbation target identification for single-cell transcriptomics, reading intervened genes off the difference between two inferred causal graphs.

Protein conformational ensemble generation guided by experimental observables, steering a pretrained diffusion sampler toward Boltzmann statistics.

Conditional adapters over a frozen ProGen2 generate enzymes steered by EC number, taxonomy, or free-text function, including rare and unseen classes.

ECG foundation model pretrained on 12-lead waveforms paired with clinical reports, enabling label-efficient and zero-shot cardiac diagnosis.

Immunogenicity classifier for reverse vaccinology, fusing frozen protein language model embeddings with Foldseek and ESM3 structure tokens.

RNA language model that predicts G-quadruplex formation and subtype from transcript sequence and scores how single-nucleotide variants alter folding.

Cis-regulatory element classifier that reads DNA sequence plus chromatin accessibility and loop tracks to label enhancers, silencers and insulators.

RNA language model pretrained by masked language modeling over the whole human transcriptome, giving a fine-tunable encoder for mRNA sequence tasks.

Pharmacophore-conditioned generator that emits molecules as synthetic trees of Enamine building blocks, so every design carries a synthesis route.

Gene expression prediction across a megabase of DNA that aligns frozen regulatory sequence features to language-model tokens by cross-attention.

Cardiac MR vision foundation model self-supervised on 36 million images, fine-tuned for segmentation, view classification and pathology detection.

Joint-embedding predictive foundation model pretrained on over a million unlabeled ECGs, learning transferable 12-lead representations for diagnosis.

Chemical language model that tokenizes each atom by its functional group, giving transferable embeddings for molecular property prediction.

Antibody language model that reads sequence and backbone coordinates together, so a masked CDR can be recovered from either or both modalities.