Top 40
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ML / AI methods
Benchmarks expose limits of learned models in protein, drug, and enzyme prediction
Recent benchmarks test whether learned molecular models generalize beyond compound memorization, similarity shortcuts, and simpler baselines.
ML / AI methods
Learned models predict peptide, epitope and protein binding from sequence and structure
Computational screens now span HLA II PTM-peptides, SH2 domains, epitopes and DUF protein pairs, with AlphaFold 3 scaling complex prediction.
Structural bio & protein design
ML generative and scoring pipelines for antibody, DARPin, and peptide binder design
Blinded prospective benchmarks now test AI-designed antibodies against experimental affinity and developability, moving evaluation beyond in silico scores.
Tools & infrastructure
Software tools now interpret variants across structural, tissue, and isoform contexts
Recent preprints extend variant interpretation to population haplotypes, tissue-specific target genes, transcript isoforms, and AlphaGenome model predictions.
Genomics
Chromosome-scale genomes reveal fusion, mixing and sex chromosome lability across taxa
Comparative analysis of 5821 chromosome-scale animal genomes and new reference assemblies sharpens views of chromosome evolution and reference-dependent…