Computer screen sifts animal peptides for breast cancer drug leads
A computational pipeline filtered about 1,500 animal-derived antimicrobial peptides down to three candidates that dock strongly against the breast cancer ...
A computational pipeline filtered about 1,500 animal-derived antimicrobial peptides down to three candidates that dock strongly against the breast cancer ...
A small exploratory study found 15 cell-free miRNAs in plasma that differed between patients whose first unprovoked seizure remained isolated ...
A new bioinformatics and experimental study identifies twelve candidate genes for polycystic ovary syndrome and shows that the metabolic enzyme ...
A new review maps how machine learning, molecular docking and subtractive genomics are being combined to explain drug resistance in ...
A weighted-voting ensemble called fourSynergy outperformed individual 4C-seq algorithms in leave-one-group-out cross-validation, reaching a mean F1-score of 0.31 and mean ...
A capsule neural network model called AMP-CapsNet achieved 97.29 percent test accuracy in classifying antimicrobial peptides when using dipeptide composition ...
Computer scientists have developed paired-block bit vectors and flattened bit vectors that cut rank-query memory overhead to 1.6 percent and ...
A compact deep-learning model called minisplice learns splice signals across vertebrates and insects and, when integrated into minimap2 and miniprot, ...
Taxonova, a deep learning classifier, achieved high species-level accuracy across short- and long-read ribosomal amplicons in benchmark tests.
An integrative bioinformatics study of 3,180 Hodgkin Lymphoma-associated genes identified TP53, STAT3, AKT1, EGFR and IL6 as the most highly ...
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© 2025 Scienmag - Science Magazine