Week 26, 2026 · Jun 22 – Jun 28

Top 40

ML / AI methods

Benchmarks for AI virtual cell models are being tested for scientific validity

Tools & infrastructure

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

ML / AI methods

Recovering single-cell kinetics and trajectories from static and noisy measurements

ML / AI methods

Biological priors make multi-omics deep learning interpretable

Structural bio & protein design

Graph and language-model encoders advance drug-target and synergy prediction

6 Noise, feedback and network structure shape emergent states in biological modelsSystems biology

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

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

9 Explicit latent structure for single-cell perturbation response and multi-omic modelingML / AI methods

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

11 Protein language model embeddings enable sequence-based prediction of protein traitsML / AI methods

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

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

14 Graph neural networks model molecular interactions, drug synergy and disease driversSystems biology

15 Generative models map mass spectra directly to candidate molecular structuresML / AI methods

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

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

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

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

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

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

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

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

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

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

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

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

28 Transformer and deep learning tools benchmarked against established genomics methodsGenomics

29 Comparative genomics partitions duplication, transfer and synteny across lineagesGenomics

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

31 Ancient and phased human genomes test selection and imputation inference methodsGenomics

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

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

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

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

36 Benchmarks and packaged pipelines standardize omics analysis toolsTools & infrastructure

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

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

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

40 Reduced recurrent models reproduce complex dynamics across neural and molecular systemsSystems biology