Cristian Taccioli

This paper uses a graph neural network to predict antibacterial activity against Acinetobacter baumannii and identifies piperazine as a key contributor to predicted activity, leading to the testing of CE3F4.

LLMsFold designs and validates new small molecules targeting pathogenic proteins using LLMs and biophysical simulations, showing strong in silico binding and drug-like profiles.

The paper analyzes genome composition across vertebrates and invertebrates to show that CpG depletion defines a compositional axis, with AG/CT as its strongest marker, not the direct mutational product TpG/CpA.

The paper quantifies reverse-complement symmetry in codon usage across taxa and shows it is not fully explained by compositional constraints.

GBRAP provides a database and tool for analyzing genomic diversity across all domains of life by offering curated genome statistics and visualization capabilities.

TumFlow generates and optimizes new anticancer molecules using AI, showing improved synthetic feasibility and predicted efficacy against melanoma.

The paper identifies miRNA copy number variations as a marker for cancer predisposition across species, showing they can distinguish cancer-prone from cancer-resistant organisms.

GBRAP is a Python tool that downloads, parses, and analyzes GenBank files for viral and bacterial genomes, providing various entropy and compositional analyses.

This paper shows that DNA sequence patterns arise from physical constraints of dsDNA and maximum entropy, not evolutionary pressure.

This study identifies human-specific non-LTR retrotransposon insertions and shows their association with gene expression changes and phenotypic evolution in humans.

The paper analyzes transposable element activity in mammals to test the Cold Genome hypothesis, finding correlations between speciation rates and genome 'hot'/'cold' classifications.