Week 37, 2026 · Sep 7 – Sep 13

Top 40

ML / AI methods

Interpretability Tools Recover Known Visual Selectivity in Neural Models

ML / AI methods

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

Structural bio & protein design

Reproducible environments, DNA library design and standard formats for biology tools

ML / AI methods

Shared embeddings fuse tissue images, spatial transcriptomes and molecular profiles

ML / AI methods

Benchmarks and learned models expose gaps in metagenomic analysis software

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

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

8 MD ensembles and replica-exchange sampling map folding and binding pathwaysStructural bio & protein design

9 Biophysical models link ion channel, noise and modulation to network firing dynamicsSystems biology

10 Learned multimodal and graph representations for protein and RNA predictionML / AI methods

11 Models infer microbial and viral traits from large genomic and metagenomic datasetsGenomics

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

13 Benchmarks and packaged pipelines standardize omics analysis toolsTools & infrastructure

14 Structure-aware language models detect resistance genes and map variant activityML / AI methods

15 Benchmarks and tools expose technical biases in sequencing-based genomic assaysEpigenomics

16 Ensemble and free-energy methods now resolve RNA, protein and ligand binding physicsStructural bio & protein design

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

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

19 Regional brain organization metrics test normative models, criticality, and morphometrySystems biology

20 Integrating diverse variant and annotation data to improve genetic risk predictionGenomics

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21 Comparative genomics partitions duplication, transfer and synteny across lineagesGenomics

22 Updated tools for microbial pangenomics, plasmid recovery and phylogenetic inferenceSystems biology

23 Simulations Link RNA Modifications to Conformation and Electronic StructureStructural bio & protein design

24 Network models nominate interventions from omics and screening dataSystems biology

25 Physical and quantum-derived references inform learned models of molecular propertiesML / AI methods

26 Graph and attention models fuse spatial and single-cell multi-omics dataML / AI methods

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

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

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

30 Learned models link histology and spatial transcriptomics to predict expression and nichesTools & infrastructure

31 Graph storage and streaming parsers reshape population-scale variant computationTools & infrastructure

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

33 Bifurcation structure and heterogeneity determine persistence beyond threshold indicesSystems biology

34 Noise-driven dynamics shape neuronal firing, calcium states, and gait fluctuationsSystems biology

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

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

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

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

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

40 Correcting RNA degradation and hashtag demultiplexing in single-cell transcriptomicsSystems biology