All Competitors

Antibody language model pretrained on a curriculum that slides from unpaired to natively paired heavy/light sequences during masked-token training.

Genomic language model continue-pretrained on 13 million UK Biobank variants, giving variant-aware DNA embeddings for gene function and expression.

Structure-based 3D molecule generation that denoises a ligand at atom level and motif level at once, conditioned on the target protein's pocket.

Histopathology foundation model pretrained on 300K whole-slide images across 20 tissue types and validated on 112 clinical-grade downstream tasks.

Generative design of protease substrates, producing 10-mer peptides conditioned on a target cleavage profile across 18 matrix metalloproteinases.

Flow-matching protein backbone generator with hierarchical fold-class conditioning, reaching 99.0% designability and chains up to 800 residues.

Bacterial protein-compound binding affinity prediction from amino acid sequence and SMILES, evaluated zero-shot on two species held out of training.

Multimodal sequence model spanning proteins, coding DNA, and regulatory DNA for zero-shot fitness scoring and conditional sequence generation.

PROTAC degradation prediction from molecular graphs of the target, linker, and E3 ligase, combining cross-attention with contrastive learning.

Nanobody CDR design framework that alternates structure prediction, docking, and CDR generation in an expectation-maximization refinement loop.

Protein sequence design model that represents small molecules, nucleotides, and metals at atomic resolution, enabling ligand-aware enzyme design.

Protein design model generating novel Cas9 and Cas12 genome-editing enzymes by Bayesian search over a classifier-separated sequence latent space.

Prophage island detection in bacterial genomes and metagenome-assembled genomes, pairing a fine-tuned ESM-2 gene classifier with density clustering.

3D CT image synthesis with paired anatomical masks, driven by a rectified-flow latent diffusion model that samples a whole volume in 30 steps.

Protein structure tokenizer that encodes 3D backbones as discrete VQ-VAE tokens, fixing the codebook under-utilization that caps their vocabulary.

RNA sequence design model that generates protein-binding RNAs from a target structure alone, growing sequences outward from an anchored seed.

Histopathology model predicting gene expression and DNA methylation from H&E slides across 23 cancer types, fusing FFPE and fresh-frozen predictors.

Latent diffusion model for single-cell multi-omics generation and modality translation, with gradient-based inference of gene regulatory networks.

Goal-oriented de novo molecule design with an instruction-tuned LLM that honors property targets, substructure constraints, and numeric values.

Universal ultrasound segmentation foundation model adapting the Segment Anything Model to eight anatomical regions in a single promptable network.

Protein conformational ensemble generator that denoises backbone geometry under language-model sequence conditioning with locality-aware attention.

Ternary complex structure predictor for PROTACs and molecular glues, placing E3 ligase, degrader, and target protein in one SE(3)-equivariant pass.

Predicts haplotype-specific 3D genome organization and Hi-C contact maps from a single long-read Fiber-seq assay, using no DNA sequence as input.