Tag: computational biology

A new algorithmic result shows that RNA inverse folding, a classic computational design problem, can be solved in linear time ...

A benchmark of 18 co-occurrence network inference methods on synthetic 16S rDNA-seq data finds they perform reliably only under restricted, ...

A machine learning framework integrating drug structures, E. coli gene responses and metabolic context predicted 37 synergistic antibiotic combinations, with ...

A new AI tool called BBERT recognizes bacterial DNA in tiny genetic fragments, helping researchers classify soil microbes faster and ...

Researchers have developed an efficient algorithm that partitions the RNA branching parameter space to reveal all distinct optimal secondary structures ...

A new algorithmic framework finds small sets of transcription factors that jointly cover disease-related gene networks with near-optimal efficiency on ...

An AI framework combining Kolmogorov–Arnold network drug–target prediction with AutoML modeling of Chinese Materia Medica properties identified lipid-lowering candidates from ...

A computational survey of 381 oral bacterial genomes found 48,234 G-quadruplex motifs, with a 2.5 to 3-fold enrichment in promoter ...

Researchers have introduced scDECA, a dual-encoder cross-attention framework that combines raw gene expression, pretrained gene priors and local structure to ...

A new open-access framework called scCIF adaptively fuses single-cell multi-omics data and outperformed competing methods on eight public datasets.