All Competitors

Multitask binding site prediction across protein, DNA/RNA, ligand, lipid, and ion partners, combining protein language models with equivariant GNNs.

Protein-protein interface embedding model built on Delaunay graphs, reused frozen for antibody-antigen affinity and antibody viscosity prediction.

Multi-LLM consensus framework for automated cell type annotation in scRNA-seq data, outperforming prior methods by ~15% in mean accuracy.

Multi-modal single-cell foundation model that projects Enformer DNA embeddings into a transcriptome model token space to predict gene regulation.

All-atom generative model for protein complexes that designs multi-chain binders from scratch and performs multimer folding and inverse folding.

Whole-slide multimodal LLM for histopathology, pairing a frozen pathology encoder with a LoRA-tuned LLaMA2-7B for pan-cancer diagnostic Q&A.

Single-cell foundation model pre-trained on 50 million cells that infers cell-specific gene regulatory networks from transformer attention matrices.

Sparse mixture-of-experts autoregressive protein language model family pretrained on 1.5 trillion amino acid tokens with compute-optimal scaling.

Single-cell RNA-seq encoder trained with contrastive learning to merge plate- and droplet-based protocols, zero-shot on unseen tissues.

Histopathology encoder pretrained entirely on prototype-guided synthetic H&E patches, matching models trained on 60-760x more real patient tiles.

E3 ubiquitin ligase-substrate interaction prediction from a LoRA-adapted protein language model fused with structure and subcellular localization.

Multimodal diffusion protein language model co-generating sequence and structure. Bit-level structure supervision cuts folding RMSD from 5.52 to 2.36.

Spatial transcriptomics foundation model pretrained to generate a cell's expression profile from its neighbors, yielding zero-shot niche embeddings.

Protein sequence design by flow matching in a compressed language-model latent space, spanning peptides, antibodies, and antimicrobial peptides.

Histopathology encoder pretrained on synthetic H&E patches mixed 1:1 with real TCGA tiles, outperforming UNI on lung and lymph node subtyping.

Single-cell foundation model reading scRNA-seq profiles as ranked gene-name sentences, scaled on Gemma-2 for annotation, reasoning and drug screens.

Peptide language model pretrained from scratch on short UniProt sequences, matching ESM-2 on 8 of 9 bioactive peptide tasks at 4.9M parameters.

Single-cell multi-omics foundation model with a Mamba backbone, pretrained on 2.7 million paired scRNA-seq and scATAC-seq profiles.

Multimodal 3D genome foundation model pairing Hi-C contact maps with epigenomic tracks, pretrained on over one million paired samples.

Promptable medical image segmentation trained only on procedurally generated synthetic images, then applied zero-shot to CT, MRI, and ultrasound.

Spider silk protein language model that generates MaSp repeat sequences from target mechanical properties and predicts those properties from sequence.

Complex-valued diffusion model generating synthetic MRI k-space phase from magnitude images, raising k-space skull-stripping Dice from 41.1% to 80.1%.

Bacterial exotoxin classifier over frozen ProtT5 embeddings that separates secreted toxins from non-toxic secreted proteins at MCC 0.94.