All Competitors

Viral capsid fold classifier detecting the jelly roll motif from protein sequence alone, using logistic regression over frozen ProtTrans embeddings.

Aligns structure, binding-pocket, text and molecular-dynamics encoders to a protein sequence anchor, giving frozen embeddings that transfer widely.

Plant DNA-binding protein prediction that averages a ProtT5 sequence-embedding classifier with a SaProt structure-aware one at the score level.

Model quality assessment network predicting per-residue lDDT, CAD-score, and RMSD for protein loops in predicted and designed structures.

RNA tertiary structure prediction from sequence alone with a variational autoencoder over distance matrices, reaching 4.5 A RMSE on short RNAs.

Ligand-aware protein language model that cross-attends SaProt embeddings to ligand SMILES, beating SaProt across six downstream benchmarks.

Kinase-inhibitor binding affinity prediction fusing a contrastively pretrained molecular graph encoder with structure-informed kinase embeddings.

RNA 3D structure generation from sequence and base-pair maps using SE(3) flow matching, with no MSAs or structural templates.

Allosteric binding site prediction from protein sequence alone, using LoRA-tuned protein language models conditioned on the orthosteric pocket.

Knowledge-graph-grounded model that predicts single-cell transcriptomic responses to small molecules, with zero-shot prediction for unprofiled drugs.

Structure-based 3D molecule generation with one diffusion backbone for fragment growing, linker design, scaffold hopping, and side-chain decoration.

Structure-based drug design by SE(3)-equivariant diffusion over 3D atom coordinates and types, with the same frozen network scoring binding affinity.

Inter-residue distance prediction that returns multi-peak distributions, so flexible regions yield several plausible distances instead of one.

Discrete diffusion model for protein sequence and MSA generation, enabling controllable de novo design directly in sequence space without structure.

Sequence-based protein stability predictor estimating ddG for single and multi-point mutations while enforcing thermodynamic antisymmetry.

World model that simulates a human cell as one persistent state, propagating drug and gene perturbations from DNA through to whole-cell morphology.

Protein function prediction that assigns Gene Ontology terms from predicted 3D structure, ESM-2 embeddings, and cross-species network propagation.

Multimodal generative model predicting viral antigenic change zero-shot from disentangled evolutionary, physicochemical, and structural signals.

Backmapping model that rebuilds all-atom protein and nucleic acid structures from coarse-grained beads and inpaints unresolved residues.

All-atom generative foundation model for biomolecular structure, unifying protein-ligand docking, structure-based drug design, and peptide design.

Protein language model that captures short- and long-range residue co-evolution through a dual pre-training objective, at 3B parameters.

Protein degrader design framework that mines fragment-target data to build PROTACs and predicts degradation potency (DC50) and maximal degradation.

Zero-shot variant effect prediction that fuses a frozen protein language model with an equivariant graph network over residue contact graphs.