All Competitors

LoRA adapter on ProstT5 predicting per-residue distributions over Foldseek 3Di tokens, capturing conformational flexibility from MD trajectories.

Structure-based virtual screening model that scores ligands against apo and predicted pockets, lifting blind-apo EF1% on DUD-E from 11.75 to 37.19.

Structure-based drug design by diffusing medicinal-chemistry fragments into a binding pocket, yielding synthesizable, selective, drug-like molecules.

Sequence-only predictor of protein stability change on point mutation, scoring both ddG and melting temperature shift without any input structure.

Enzyme screening framework pairing a sequence-structure CNN classifier with CLIP-style protein-reaction retrieval to link orphan enzymes to genes.

Generative foundation model for antibody and multispecific design, doubling its predecessor's experimental success rate on therapeutic targets.

Protein inverse folding as a generative Markov bridge, refining a structure-derived sequence prior with a frozen protein language model.

RNA 3D structure prediction pipeline pairing a transformer (RNAformer) that predicts inter-nucleotide geometries with Rosetta energy minimization.

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

Protein language models from 151M to 6.4B parameters, trained on over a billion sequences for sequence generation and zero-shot fitness prediction.

Multi-omics foundation model that folds DNA, RNA, and protein into one codon-level nucleotide representation following the central dogma.

Protein conformational ensemble generator and coarse-grained force field in one normalizing flow. Samples faster than diffusion-based baselines.

Macrocyclic peptide binder design against protein targets, cyclizing a diffusion backbone generator's positional encoding so it closes rings.

RNA-protein contact prediction from sequence, built on ERNIE-RNA and ESM-2 embeddings. Reaches 0.77 auROC where AlphaFold 3 reaches 0.61.

All-atom generative model for de novo protein and peptide binder design against diverse biomolecular targets, wet-lab validated across 26 targets.

Zero-shot protein conformation sampling that perturbs an input structure and anneals it back with a score network trained only on crystal structures.

Protein-ligand binding affinity prediction from multimodal representations. Retains accuracy on predicted rather than crystal complex structures.

Multimodal, retrieval-augmented protein foundation model that learns family-specific evolutionary constraints with optional structure conditioning.

Per-residue membrane contact and solvent accessibility prediction from sequence alone, replacing MSA input with language model embeddings.

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

RNA language model adapted from ESM-2 by cross-modality transfer learning, matching RNA-native baselines with 1/8 the trainable parameters.

Binder motif prediction from receptor structure alone, mapping 14 functional-group types across a protein surface as reusable interaction profiles.

All-atom biomolecular structure prediction with adapters for allosteric states, user-defined interface constraints, and binding affinity.