PMID- 34396508 OWN - NLM STAT- MEDLINE DCOM- 20220303 LR - 20220303 IS - 1097-0290 (Electronic) IS - 0006-3592 (Linking) VI - 118 IP - 11 DP - 2021 Nov TI - Fast identification of off-target liabilities in early antibiotic discovery with Fourier-transform infrared spectroscopy. PG - 4465-4476 LID - 10.1002/bit.27915 [doi] AB - Structural modifications of known antibiotic scaffolds have kept the upper hand on resistance, but we are on the verge of not having antibiotics for many common infections. Mechanism-based discovery assays reveal novelty, exclude off-target liabilities, and guide lead optimization. For that, we developed a fast and automatable protocol using high-throughput Fourier-transform infrared spectroscopy (FTIRS). Metabolic fingerprints of Staphylococcus aureus and Escherichia coli exposed to 35 compounds, dissolved in dimethyl sulfoxide (DMSO) or water, were acquired. Our data analysis pipeline identified biomarkers of off-target effects, optimized spectral preprocessing, and identified the top-performing machine learning algorithms for off-target liabilities and mechanism of action (MOA) identification. Spectral bands with known biochemical associations more often yielded more significant biomarkers of off-target liabilities when bacteria were exposed to compounds dissolved in water than DMSO. Highly discriminative models distinguished compounds with predominant off-target effects from antibiotics with well-defined MOA (AUROC > 0.87, AUPR > 0.79, F1 > 0.81), and from the latter predicted their MOA (AUROC > 0.88, AUPR > 0.70, F1 > 0.70). The compound solvent did not affect predictive models. FTIRS is fast, simple, inexpensive, automatable, and highly effective at predicting MOA and off-target liabilities. As such, FTIRS mechanism-based screening assays can be applied for hit discovery and to guide lead optimization during the early stages of antibiotic discovery. CI - (c) 2021 Wiley Periodicals LLC. FAU - Ribeiro da Cunha, Bernardo AU - Ribeiro da Cunha B AD - Institute for Bioengineering and Biosciences (iBB), Instituto Superior Tecnico (IST), Universidade de Lisboa (UL), Lisboa, Portugal. AD - Area Departamental de Engenharia Quimica (ADEQ), ISEL-Instituto Superior de Engenharia de Lisboa, Instituto Politecnico de Lisboa, Lisboa, Portugal. FAU - Aleixo, Sandra M AU - Aleixo SM AD - Area Departamental de Matematica (ADM), ISEL-Instituto Superior de Engenharia de Lisboa, Instituto Politecnico de Lisboa, Lisboa, Portugal. AD - Centro de Estatistica e Aplicacoes da Universidade de Lisboa (CEAUL), Faculdade de Ciencias da Universidade de Lisboa, Campo Grande, Lisboa, Portugal. FAU - Fonseca, Luis P AU - Fonseca LP AD - Institute for Bioengineering and Biosciences (iBB), Instituto Superior Tecnico (IST), Universidade de Lisboa (UL), Lisboa, Portugal. FAU - Calado, Cecilia R C AU - Calado CRC AD - Area Departamental de Engenharia Quimica (ADEQ), ISEL-Instituto Superior de Engenharia de Lisboa, Instituto Politecnico de Lisboa, Lisboa, Portugal. AD - CIMOSM, ISEL-Centro de Investigacao em Modelacao e Otimizacao de Sistemas Multifuncionais, Instituto Superior de Engenharia de Lisboa, Lisboa, Portugal. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20210820 PL - United States TA - Biotechnol Bioeng JT - Biotechnology and bioengineering JID - 7502021 RN - 0 (Anti-Bacterial Agents) SB - IM MH - *Anti-Bacterial Agents/analysis/pharmacology MH - Escherichia coli/*growth & development MH - *Machine Learning MH - Spectroscopy, Fourier Transform Infrared MH - Staphylococcus aureus/*growth & development OTO - NOTNLM OT - Fourier-transform infrared spectroscopy (FTIR) OT - high-throughput screening OT - machine learning OT - mechanism of action OT - off-target liabilities EDAT- 2021/08/17 06:00 MHDA- 2022/03/04 06:00 CRDT- 2021/08/16 06:17 PHST- 2021/08/13 00:00 [revised] PHST- 2021/01/27 00:00 [received] PHST- 2021/08/13 00:00 [accepted] PHST- 2021/08/17 06:00 [pubmed] PHST- 2022/03/04 06:00 [medline] PHST- 2021/08/16 06:17 [entrez] AID - 10.1002/bit.27915 [doi] PST - ppublish SO - Biotechnol Bioeng. 2021 Nov;118(11):4465-4476. doi: 10.1002/bit.27915. Epub 2021 Aug 20.