Week 32, 2026 · Aug 3 – Aug 9

Top 40

Systems biology

Network models nominate interventions from omics and screening data

ML / AI methods

Generative models map mass spectra directly to candidate molecular structures

Tools & infrastructure

LLM agents and multimodal models convert literature and spectra into molecular knowledge

Single-cell

Encoding spatial and relational structure in high-dimensional omics analysis

ML / AI methods

Fitted mechanistic models link single-cell and patient omics to regulatory dynamics

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

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

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

9 Benchmarks and packaged pipelines standardize omics analysis toolsTools & infrastructure

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

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

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

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

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

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

16 Benchmarks for AI virtual cell models are being tested for scientific validityML / AI methods

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

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

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

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

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

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

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

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

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

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

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

28 Bifurcation structure and heterogeneity determine persistence beyond threshold indicesSystems biology

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

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

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

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

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

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

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