All Competitors

Antibody sequence design conditioned on antigen structure, generating CDRs or full variable regions without epitope annotation or docked frameworks.

Protein structure tokenizer that discretizes backbones into 512 discrete tokens and reconstructs all-atom structures, including side chains.

Generative model that emulates protein equilibrium ensembles, sampling cryptic pockets and unfolded states far faster than molecular dynamics.

Per-residue prediction of where a receptor domain can be inserted into a protein without breaking it, for building allosteric and inducible switches.

Antibody structure prediction returning backbone and side-chain coordinates in about a second, driven by a 650M-parameter antibody language model.

De novo cyclic peptide binder design against a protein target, chaining a cyclized diffusion sampler, sequence design and structure prediction.

Protein language model extending ESM-2 to 2,048-residue inputs with LongFormer-style local windowed attention, re-pretrained on Swiss-Prot.

Latent diffusion model for controllable all-atom protein generation that co-designs sequence and structure while training on sequences alone.

Int4 LoRA adapters over long-context ESM-2 checkpoints, cutting the 33-layer load footprint to 664 MB and adding a 36-layer configuration.

Pocket-conditioned 3D ligand generator built on rectified flow, reaching -8.50 average Vina Dock and 75.0% diversity on CrossDocked2020.

Protein language model family at 300M, 600M, and 6B parameters, purpose-built for representation learning and outperforming ESM-2 at smaller scale.

Instruction-tuned gene language model extending LLaMA-7B with merged DNA and protein BPE vocabularies to answer sequence tasks as chat prompts.

Mixture-of-experts protein language model scaling to 16 billion parameters, applied to variant effect prediction and de novo protein design.

Drug-target affinity prediction pairing an SE(3)-equivariant GNN over 3D protein structure with a molecular GNN and residue-atom cross-attention.

GPCR-peptide complex structure prediction conditioned on active or inactive receptor states, used to rank designed peptide agonists and antagonists.

Antimicrobial peptide optimization framework pairing a transformer VAE latent space with constrained Bayesian optimization against an MIC oracle.

TCR-antigen binding affinity prediction for unseen peptides, pairing an ESM-2-initialized receptor encoder with a peptide cross-attention module.

Protein inverse folding for low-resource enzyme design, distilling a frozen protein language model into a structure encoder used alone at inference.

Protein conformational ensemble generator using SE(3) flow matching from a perturbed ESMFold prior, sampling MD-like dynamics from sequence alone.

Target-conditioned peptide binder design model that samples hot-spot residues from an energy-based density, then extends fragments autoregressively.

Flexible protein-ligand docking that repacks the pocket side chains from the backbone and the ligand graph before a physics sampler places the ligand.

RNA-binding protein binding profiles predicted base by base across 800 bp windows, with an m6A signal channel that exposes methylation-RBP crosstalk.

Vector-based virtual screening model that co-embeds proteins and small molecules so a drug-target interaction reduces to a single dot product.