Randomly barcoded transposon mutant libraries for gut commensals I: Strategies for efficient library construction.

Tripathi S, Voogdt CGP, Bassler SO, Anderson M, Huang PH, Sakenova N, Capraz T, Jain S, Koumoutsi A, Bravo AM, Trotter V, Zimmerman M, Sonnenburg JL, Buie C, Typas A, Deutschbauer AM, Shiver AL, Huang KC

Cell reports, 2023

doi:10.1016/j.celrep.2023.113517.

Randomly barcoded transposon mutant libraries for gut commensals II: Applying libraries for functional genetics.

Voogdt CGP, Tripathi S, Bassler SO, McKeithen-Mead SA, Guiberson ER, Koumoutsi A, Bravo AM, Buie C, Zimmermann M, Sonnenburg JL, Typas A, Deutschbauer AM, Shiver AL, Huang KC

Cell reports, 2023

doi:10.1016/j.celrep.2023.113519.

Bioactivity assessment of natural compounds using machine learning models trained on target similarity between drugs.

Periwal V, Bassler S, Andrejev S, Gabrielli N, Patil KR, Typas A, Patil KR

PLoS computational biology, 2022

doi:10.1371/journal.pcbi.1010029.

Bioactivity assessment of natural compounds using machine learning models based on drug target similarity.

Periwal V, Bassler S, Andrejev S, Gabrielli N, Typas A, Patil KR

bioRxiv, 2020

doi:10.1101/2020.11.06.371112.

Species-specific activity of antibacterial drug combinations.

Brochado AR, Telzerow A, Bobonis J, Banzhaf M, Mateus A, Selkrig J, Huth E, Bassler S, Zamarreño Beas J, Zietek M, Ng N, Foerster S, Ezraty B, Py B, Barras F, Bork P, Savitski MM, Göttig S, Typas A

Nature, 2018

doi:10.1038/s41586-018-0278-9.