All Competitors

Structure-aware protein language model aligning sequence and 3D structure by contrastive learning, with adapter and LoRA fine-tuning tools.

Multi-agent LLM framework for autonomous discovery in protein science, pairing generator and critic agents over design and simulation tools.

Cryptic protein binding site prediction from sequence, backed by a database of 5,151 cryptic sites mined from 6 million apo-holo PDB alignments.

Antimicrobial peptide generator that conditions diffusion on net charge, mean hydrophobicity and length, with de novo, analog and motif-guided modes.

Linear B-cell epitope prediction using phylogeny-aware fine-tuning of ESM embedders, with taxon-specific models for 19 pathogen groups.

TCR-peptide binding prediction that fuses ESM-1b receptor embeddings with MolFormer SMILES embeddings through multi-head cross-attention.

Protein binding affinity prediction from sequence alone, returning pKd and per-residue interface labels instead of a yes-or-no interaction call.

Per-residue pKa prediction from sequence alone, a thin MLP head on frozen ESM Cambrian embeddings that holds up better on engineered buried variants.

Per-residue pKa prediction from sequence alone, a thin MLP head on frozen ESM-2 embeddings reaching 0.48 RMSE across six titratable residue types.

Topology-guided protein backbone generation that turns hand-drawn 3D curves into designable structures by steering a diffusion sampler with a sketch.

Pocket-based molecular docking with an SE(3)-equivariant diffusion transformer. Places 77.65% of top-1 poses within 2 Å RMSD on PoseBusters.

Whole-genome bacterial pathogenicity prediction from ProtT5 embeddings, alignment-free and taxonomy-agnostic, with per-protein attention scores.

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

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

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

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

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

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

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

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

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

Predicts protein-ligand complex structures and binding affinity from sequence and ligand SMILES, without a PDB structure or a predefined pocket.

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