Top 40
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ML / AI methods
Computational models predict microbial glycans, phage hosts and effector proteins
Protein language models and mass spectrometry pipelines now target microbial glycosylation, sugar precursors, phage tail specificity and host range.
ML / AI methods
Machine learning maps tissue and molecular profiles to cancer outcomes and subtypes
Tissue and molecular profiles are increasingly modeled against clinical endpoints, with benchmarks now testing how well these methods perform across cohorts…
ML / AI methods
Multimodal deep learning predicts drug, RNA and protein properties from molecular data
Recent preprints and publications pair pretrained text, sequence and graph encoders with biological priors for drug, RNA, metabolite and protein prediction.
Proteomics
Proteomics tools move toward verifiable FDR reporting and cross-software benchmarking
Recent preprints and publications address FDR verification, software benchmarking, and metadata curation for public proteomics datasets.
ML / AI methods
Biological foundation models face scrutiny over pretraining, benchmarks, and baselines
Recent preprints re-examine whether DNA, single-cell, and perturbation models outperform simple baselines under standardized evaluation.