Week 17, 2026 · Apr 20 – Apr 26

Top 40

ML / AI methods

Benchmarking segmentation and synthetic ground truth for 3D tissue and organoid imaging

Systems biology

Correcting RNA degradation and hashtag demultiplexing in single-cell transcriptomics

Structural bio & protein design

Benchmarks probe AlphaFold model accuracy across peptides, RNA, and antibody complexes

ML / AI methods

Protein language model embeddings enable sequence-based prediction of protein traits

Genomics

Models infer microbial and viral traits from large genomic and metagenomic datasets

6 Graph and language-model encoders advance drug-target and synergy predictionStructural bio & protein design

7 Learned latents steer protein conformations and encode evolutionary structureML / AI methods

8 Fitted mechanistic models link single-cell and patient omics to regulatory dynamicsML / AI methods

9 Multi-omic and structural data are converted into drug and target prioritization outputsGenomics

10 Biological priors make multi-omics deep learning interpretableML / AI methods

11 Machine-learning-guided de novo design of protein and peptide bindersML / AI methods

12 Computational models link genetic variants to RNA binding and cell-type expressionTools & infrastructure

13 Machine learning maps tissue and molecular profiles to cancer outcomes and subtypesML / AI methods

14 Spatial and single-cell models infer multicellular motifs, regulators and disease linksSingle-cell

15 Sequence- and structure-based models predict protein function and dynamicsML / AI methods

16 MD simulations link conformational states to membrane binding and organizationStructural bio & protein design

17 Chromatin structure and nucleosome states inferred from sequencing and contact mapsStructural bio & protein design

18 Transformer and deep learning tools benchmarked against established genomics methodsGenomics

19 Reproducible tools for assessing and streamlining omics data analysis workflowsTools & infrastructure

20 Internal ground truths benchmark RNA-seq transcript and expression inference toolsGenomics

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21 Context-aware models refine variant calling, eQTL mapping and polygenic predictionGenomics

22 Generative models steered by RL, fragments, and SMARTS for molecule and linker designStructural bio & protein design

23 Free energy and coarse-grained physics methods for biomolecular binding and interfacesStructural bio & protein design

24 Network models nominate interventions from omics and screening dataSystems biology

25 LLM agents and multimodal models convert literature and spectra into molecular knowledgeTools & infrastructure

26 Constraints and cross-feeding shape inferred metabolic fluxes and microbial nichesSystems biology

27 Adhesion, noise, and discretization shape collective and single-cell migration modelsSystems biology

28 New tools for recombination, metagenomic decontamination, and microbial community designTools & infrastructure

29 Sequencing and inference methods resolve nucleic acid sequence, structure, and usageGenomics

30 Computational models link germinal center B cell states to antibody affinity maturationGenomics

31 Chromosome-level assemblies link genome gigantism and gene loss to lineage evolutionGenomics

32 Pretrained generative models extend to fMRI forecasting, diagnosis, and imagerySystems biology

33 Benchmarks and packaged pipelines standardize omics analysis toolsTools & infrastructure

34 Simulation methods extend to cyclic peptides, non-canonical residues and polypeptoidsStructural bio & protein design

35 MD and cofolding models probe conformational states in kinases, Aβ, and HIV-1 EnvStructural bio & protein design

36 Isoform-resolved single-cell and single-molecule methods quantify transcript variantsEpigenomics

37 Mechanistic models link cell-scale rules to invasion, containment and therapy outcomesSystems biology

38 New tools speed variant annotation, GWAS, and epigenomic and cytometry analysisTools & infrastructure

39 Models link non-genetic B cell state dynamics to antibody affinity maturationSystems biology

40 Encoding spatial and relational structure in high-dimensional omics analysisSingle-cell