Week 29, 2026 · Jul 13 – Jul 19

Top 40

Structural bio & protein design

MD ensembles and replica-exchange sampling map folding and binding pathways

Systems biology

Regional brain organization metrics test normative models, criticality, and morphometry

ML / AI methods

Biological priors make multi-omics deep learning interpretable

ML / AI methods

Generative models map mass spectra directly to candidate molecular structures

Systems biology

Reduced recurrent models reproduce complex dynamics across neural and molecular systems

6 Benchmarks probe AlphaFold model accuracy across peptides, RNA, and antibody complexesStructural bio & protein design

7 Shared embeddings fuse tissue images, spatial transcriptomes and molecular profilesML / AI methods

8 Benchmarks and packaged pipelines standardize omics analysis toolsTools & infrastructure

9 Recovering single-cell kinetics and trajectories from static and noisy measurementsML / AI methods

10 Network models nominate interventions from omics and screening dataSystems biology

11 Benchmarking segmentation and synthetic ground truth for 3D tissue and organoid imagingML / AI methods

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

13 Spatial models couple influenza dispersal, defective particles and interferon signallingML / AI methods

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

15 Design-aware statistical models for differential analysis of omics and imaging dataSystems biology

16 Deep learning automates microscopy and histology image analysis with less labelled dataML / AI methods

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

18 Biological foundation models face scrutiny over pretraining, benchmarks, and baselinesML / AI methods

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

20 Comparative genomics partitions duplication, transfer and synteny across lineagesGenomics

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

39 Reproducible environments, DNA library design and standard formats for biology toolsStructural bio & protein design

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