Top 40
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ML / AI methods
Deep learning models integrate spatial and single-cell omics across scales and species
Multimodal spatial and single-cell datasets now demand representation learning that links cells to tissue structure, donors, and phenotypes.
Structural bio & protein design
Computational evaluation of predicted structures for interfaces, sites, and binding
Benchmarking of AlphaFold variants and new interface-scoring tools makes structural model evaluation for binding relevance a current priority.
Structural bio & protein design
Learned latents steer protein conformations and encode evolutionary structure
Pretrained AlphaFold 3 internals are now used directly as controllable handles for conformational sampling and mechanistic interpretation.
Single-cell
Single-cell methods benchmarks and tools span RNA, protein and barcode readouts
Recent work benchmarks single-cell integration and foundation models while new tools handle barcoded, hashtag and single-cell proteomics data.
Systems biology
Multi-omic models nominate master regulators and drug targets across cancer systems
Recent preprints and papers pair multi-omic data with mechanistic models, benchmarks and resources to generate therapeutic hypotheses.