All Competitors

Deep learning model predicting DNA methylation regulatory variants at CpG sites in the human brain, fine-mapping psychiatric disorder risk loci.

Protein model accuracy estimation from MSA co-evolution and homologous templates, predicting per-residue lDDT with a triangular-attention backbone.

RNA foundation model pretrained on 23.7 million non-coding RNA sequences, producing embeddings for structure prediction, annotation, and RNA design.

Motif-oriented DNA pre-training framework that adds motif prediction to an ELECTRA generator-discriminator setup for motif-aware genomic embeddings.

Histopathology tile encoder pairing a CNN stem with a multi-scale Swin Transformer, pretrained on 15.6 million unlabeled H&E patches.

Autoregressive protein language model based on GPT-2 that generates de novo protein sequences sampling unexplored regions of protein space.

In silico directed evolution that designs peptide binders against a chosen protein interface from sequence alone, scored by a frozen AlphaFold2.

Protein language model family from 8M to 15B parameters, used as a frozen sequence encoder whose representations encode atomic-level structure.

Protein structure prediction from a single sequence, with no multiple sequence alignment. Folds a 384-residue protein in 14.2 seconds on one GPU.

Transformer model for de novo peptide sequencing that reads amino acid sequences directly from tandem mass spectra, with no protein sequence database.

Shape-based generative model for protein-protein interaction inhibitors, growing new SMILES from the 3D voxel features of a seed compound.

Chromatin-level variant effect prediction from DNA sequence, projecting 21,907 predicted regulatory profiles onto 40 interpretable sequence classes.

Renal pathology segmentation covering six kidney tissue types across 5x to 40x magnifications from one network, and transferring from human to mouse.

RNA methylation site predictor combining multiple sequence encodings with dilated convolution and BiLSTM layers to identify m6A and m1A sites.

Hierarchical vision transformer for gigapixel whole-slide images, pretrained with two nested stages of DINO across 33 TCGA cancer types.

Glomerular detection, segmentation, and glomerulosclerosis subtyping from renal whole-slide images, pretrained on web-mined glomerular figures.

Autoregressive protein language model scoring variant effects zero-shot, blending sequence likelihood with homolog statistics retrieved at inference.

Two SE(3)-equivariant transformers pretrained on 209M molecular conformations and 3M protein pockets, taking 3D coordinates as input and output.

Protein language model family built on CNNs rather than transformers, matching transformer quality while scaling linearly with sequence length.

BERT-based antibody language model pretrained on 57M B cell receptor sequences for paratope prediction and convergent antibody discovery.

Predicts 3D genome architecture directly from DNA sequence across nine scales, from 4-kb contacts up to a 256-Mb whole-chromosome window.

Gut microbiome taxa embeddings that project a 16S V4 ASV table into a shared property space so classifiers transfer between cohorts.

Structure accuracy estimation over atom graphs, scoring macrocyclic peptide and protein-DNA models that residue-level predictors cannot represent.