All Competitors

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

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

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

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.

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

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.

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

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

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

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

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

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

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

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.

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

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

Transformer-based generative language model for de novo RNA design, pretrained on 16 million non-coding RNA sequences from RNAcentral.

Single-cell foundation model built on MAMBA2 state-space blocks, reading all 60,530 genes of a transcriptome without variable-gene selection.

Generative DNA language model for plasmid design and annotation, pretrained on 153,208 engineered plasmid sequences deposited in Addgene.

Enzyme catalytic pocket design conditioned on a reaction: substrate and product in, pocket backbone, sequence, and EC class out.