All Competitors

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

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.

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.

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.

Post-translational modification prediction that scores every residue of a full-length protein for 25 PTM types in a single transformer pass.

Structure-based drug design generator pairing continuous flow matching with discrete Markov bridges to sample 3D ligands inside a protein pocket.

Graph deep learning framework fusing frozen protein language model embeddings with structure graphs to predict per-residue flexibility in antibodies.

Protein language model that distills structure tokens into ESM2, yielding structurally enriched embeddings from sequence input alone.

Protein melting temperature prediction from sequence, pairing frozen ESM2 embeddings with growth-temperature and thermophilicity features.

Flow matching model for de novo 3D peptide design that converges peptide position before conformation, mirroring the physical order of docking.

Refines AlphaFold2 predictions against cryo-EM, cryo-ET, and X-ray data by optimizing coevolutionary embeddings rather than atomic coordinates.

Protein-ligand affinity foundation model that embeds pockets and ligands in one space, unifying virtual screening with hit-to-lead optimization.

Broad-spectrum antiviral screening framework pairing a pretrained molecular encoder with ESM-2 embeddings for phenotype- and target-based prediction.