Christine Mae F. Ancajas

AI-assisted isolation of bioactive Dipyrimicins from Amycolatopsis azurea and identification of its corresponding dip biosynthetic gene cluster

The paper uses a machine learning model to predict antibacterial activity from biosynthetic gene clusters, leading to the isolation of dipyrimicins A and B from Amycolatopsis azurea and linking them to their BGC.

Statistical Coupling Analysis Predicts Correlated Motions in Dihydrofolate Reductase

This study uses statistical coupling analysis and molecular dynamics to show that dynamically coupled residues in DHFR influence evolution and allosteric communication.

Assessing the ability of ChatGPT to extract natural product bioactivity and biosynthesis data from publications

This study evaluates ChatGPT's ability to extract natural product bioactivity and biosynthesis data from scientific publications, finding it effective for identifying natural product discovery and bioactivity but less accurate for extracting accession numbers.