All Competitors

Isoform-resolved variant effect prediction from DNA sequence, using graph attention over transcript splice structures across 30 human tissues.

Micronuclei instance segmentation for fluorescence microscopy, using an anchor-tuned Mask R-CNN to detect micronuclei and link them to parent nuclei.

DNA methylation foundation model that learns blood aging as a continuous ODE and prescribes sparse CpG edits for in-silico rejuvenation.

Yeast sequence-to-expression model predicting strand-specific RNA-seq coverage across a 5 kb multi-gene window at 10 bp resolution.

RNA secondary structure prediction that fuses base-pair priors from four orthogonal folding tools, reaching 0.709 F1 on cross-family bpRNA-new.

Single-cell foundation model domain-adapting Llama-3.1-8B on 1.3M gastric cancer cells with gene-family cell sentences instead of ranked-gene order.

Antibody optimization by guided sequence-structure diffusion over antibody-antigen complexes, steered by affinity oracles trained on lab assay data.

Diploid de novo genome assembly that scores assembly-graph edges with a graph neural network and reconstructs phased haplotypes by beam search.

Sequence-only protein-protein interaction prediction at proteome scale. Each protein is embedded once, so a pair score compares two stored vectors.

Neuro-oncology foundation model for brain tumor MRI, using distributionally robust pretraining for molecular subtyping and survival prediction.

Protein language model that emulates molecular dynamics, generating equilibrium conformational ensembles and multi-timescale dynamic trajectories.

T-cell clonal expansion detection from scRNA-seq alone, without paired TCR sequencing. Trained on 2.6M pan-cancer T cells, reaching 0.85-0.96 AUROC.

Transcription factor binding site prediction fusing DNA sequence with TF protein embeddings by cross-attention, generalizing zero-shot to unseen TFs.

Protein conformational ensemble and dynamics generator using latent diffusion to sample all-atom MD trajectories and transition pathways.

Centrosome segmentation framework chaining YOLOv11 detection, U-Net refinement, and StarDist cell boundaries across immunofluorescence and IHC tissue.

Generative antibody and nanobody design model that co-designs CDR sequences and antigen-bound structures for de novo design and affinity maturation.

Missense variant pathogenicity predictor that also ranks candidate diseases, aligning ESM-2 protein embeddings with PubMedBERT disease text.

Activation domain predictor scoring transcriptional activator strength from protein sequence, with a 20-model ensemble that reports uncertainty.

Protein language model that predicts which of eight lipid categories a protein binds from sequence alone, plus binding sites and mutation effects.

Linear B-cell epitope prediction from peptide sequence alone, pairing ProtT5 embeddings with an SVM trained on 222,030 curated IEDB peptides.

Gene Ontology prediction for malaria parasite proteins, trained on SAR supergroup structure embeddings with calibrated uncertainty and FDR control.

Antimicrobial resistance risk predictor using ESM2 embeddings of single protein mutations to flag resistance variants across bacterial pathogens.

Nucleotide language model for short metagenomic reads, assigning taxonomic domain, coding potential, and reading frame from reads down to 100 bp.