Top 40
View all ›BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
Single-cell
Computational inference of tissue spatial organization from spatial transcriptomic data
Recent preprints add neighborhood-aware spatial inference methods and a 21-dataset benchmark for post-GWAS cell-trait mapping.
12 preprints · 4 published · ↑ 3.5× vs 4-wk avg
Rank 2 Structural bio & protein design
Learned protein and peptide representations are applied to binding and design tasks
Recent preprints and publications directly compare embedding choices and generate peptide and capsid sequences from protein language model features.
5 preprints · 4 published · ↑ 2.4× vs 4-wk avg
Rank 3 ML / AI methods
Injecting biological structure into sequence models for genomic and protein prediction
Recent preprints and publications apply tokenization, k-mer, taxonomy, and structure-aware designs to sequence-based prediction across genomes and proteins.
4 preprints · 3 published · ↑ 2.4× vs 4-wk avg
Rank 4 Structural bio & protein design
Ligand format and charge state affect co-folding protein-ligand predictions
Representation choices, from QM descriptors to ligand input format, now shape the reliability of ML ligand property and interaction predictions.
1 preprint · 3 published · ↑ 1.9× vs 4-wk avg
Rank 5 ML / AI methods
Sequence-based models infer splicing, cleavage, and organellar protein membership
Learned sequence representations now predict context-dependent splicing, piRNA cleavage, and mitochondrial protein membership from indirect data.
6 preprints · 1 published · ↑ 1.7× vs 4-wk avg
Rank 6 Biological structure encoded in inference for single-cell and spatial tumor profiling↑ 1.6×Single-cellRank 7 Genome-wide STRs and haplotype similarity refine population structure inference↑ 1.6×GenomicsRank 8 Hybrid and long-read inputs extend variant detection beyond short-read alignment↑ 1.6×GenomicsRank 9 Zero-shot models fail on epistatic variants; language models track viral evolution↑ 1.6×ML / AI methodsRank 10 Cryo-EM and cryo-ET density constrain generative and regression-based atomic modeling↑ 1.6×Structural bio & protein designRank 11 Single-cell models face scrutiny over evaluation validity and mechanistic contentSingle-cellRank 12 Variant-level evidence extends to gene and trait inference across predictors and modelsGenomicsRank 13 Read-level methods infer resistance plasmids and variants without assembly stepsGenomicsRank 14 Inferring pathogen genotypes and abundances from indirect or mixed sequencing dataGenomicsRank 15 Dynamic, scale-dependent descriptors characterize functional brain network interactionsSystems biologyRank 16 Reference data constraining protein structure and conformational ensemble modelsStructural bio & protein designRank 17 Software converts microscopy images into quantitative measurements across biological…Tools & infrastructureRank 18 Multimodal fusion models score drug, target and peptide interactionsML / AI methodsRank 19 Computational predictions of structure and dynamics tested against experimentStructural bio & protein designRank 20 Mechanistic models link growth, kill, and interaction structure to microbial outcomesSystems biology
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Rank 21 Sequence patterning governs peptide condensation and membrane translocationStructural bio & protein designRank 22 Annotation quality gates cross-lineage comparisons in nematode, insect and kelp genomesGenomicsRank 23 Coarse-grained simulations tie chemical and stoichiometric tuning to assembly mechanicsStructural bio & protein designRank 24 Reusable tools for alignment, regulatory modelling, phenotype networks and genotype QCTools & infrastructureRank 25 Model-based inference of host, gene, and community traits from microbiome sequencingSystems biologyRank 26 Causal and constraint-based inference prioritizes aging and liver disease targetsSystems biologyRank 27 Pathogen genome assemblies from natural infections and multi-strain RBP comparisonsGenomicsRank 28 Benchmarks expose limits of multimodal models for patient survival and drug responseML / AI methodsRank 29 Standardized ontologies and AI tools structure reproducible biological data analysisML / AI methodsRank 30 Explicit mechanical models link subcellular forces to tissue-scale outcomesSystems biologyRank 31 Recovering glycopeptides and DIA peptides beyond standard tryptic database searchesProteomicsRank 32 MD simulations resolve protonation- and lipid-dependent membrane interactionsStructural bio & protein designRank 33 Minimizer-seeded partial order alignment and FPGA peptide search accelerate throughputTools & infrastructureRank 34 Multimodal deep learning across gene networks, single-cell omics, and regulatory mapsML / AI methodsRank 35 Linking noncoding GWAS variants to target genes, 3D contacts, and conserved CpGsEpigenomicsRank 36 Geometry-aware learning models for molecular design and committor predictionML / AI methodsRank 37 Functional classification of somatic mutations in cancer genomesGenomicsRank 38 Parallel and alignment-free methods scale sequence search and phylogenetic placementTools & infrastructureRank 39 Post-mortem artifacts and overlooked cell states confound human tissue transcriptomicsSingle-cellRank 40 Mutation-selection dynamics localize quasispecies and bias evolution toward flat fitnessSystems biology