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Biological research and self-driving labs in deep space supported by artificial intelligence

Sanders, L.M., Scott, R. T., Yang, J. H., Qutub, A., Martin, H. G., et al (2023). Nature Machine Intelligence.

Biomonitoring and precision health in deep space supported by artificial intelligence

Scott, R. T., Sanders, L. M., Antonsen, E. L., et al (2023). Nature Machine Intelligence.

Initiation of fatty acid biosynthesis in Pseudomonas putida KT2440

McNaught, K., et al (2023). Metabolic Engineering.

Perspectives for self-driving labs in synthetic biology

Martin, H.G., et al. (2023). Current Opinion in Biotechnology.

Evaluation of engineered low-lignin poplar for conversion into advanced bioproducts

Lin, Chien-Yuan, et al. (2022). Biotechnology for Biofuels and Bioproducts.

ClusterCAD 2.0: an updated computational platform for chimeric type I polyketide synthase and nonribosomal peptide synthetase design

Tao, X., LaFrance, S., Xing, Y., Nava, A., Garcia Martin, H., Keasling, J., Backman, T. (2022). Nucleic Acids Research.

Precise Genomic Riboregulator Control of Metabolic Flux in Microbial Systems

Pandey, N., Davison, S., Krishnamurthy, M., Trettel, D., Lo, C., Starkenburg, S., Wozniak, K., Kern, T., Reardon, S., Unkefer, C., Hennelly, S., Dale, T. (2022). ACS Synthetic Biology.

Tuning a high performing multiplexed-CRISPRi Pseudomonas putida strain to further enhance indigoidine production

Czajka, J., Banerjee, D., Eng, T., Menasalvas, J., Yan, C., Munoz, N., Poirier, B., Kim, Y., Baker, S., Tang, Y., Mukhopadhyay, A. (2022). Metabolic Engineering Communications.

Itaconic acid production is regulated by LaeA in Aspergillus pseudoterreus

Pomraning, K., Dai, Z., Munoz, N., Kim, Y., Gao, Y., Deng, S., Lemmon, T., Swita, M., Zucker, J., Kim, J., Mondo, S., Panisko, E., Burnet, M., Webb-Robertson, B., Hofstad, B., Baker, S., Burnum-Johnson, K., Magnuson, J. (2022). Metabolic Engineering Communications .

Muconic acid production from glucose and xylose in Pseudomonas putida via evolution and metabolic engineering

Ling, C., Peabody, G.L., Salvachúa, D., Kim, Y., Kneucker, C.M., Calvey, C.H., Monninger, M.A., Munoz, N., Poirier, B.C., Ramirez, K.J., St. John, P.C., Woodworth, S.P., Magnuson, J.K., Burnum-Johnson, K.E., Guss, A.M., Johnson, C.W., Beckham, G.T. (2022). Nature Communications.

Machine-learning from Pseudomonas putida KT2440 transcriptomes reveals its transcriptional regulatory network

Lim, H.G., Rychel, K., Sastry, A.V., Bentley, G.J., Mueller, J., Schindel, H.S., Larsen, P., Laible, P.D., Guss, A.M., Niu, W., Johnson, C.W., Beckham, G.T., Feist, A.M., Palsson, B.O. (2022). Metabolic Engineering.

Production of β-ketoadipic acid from glucose in Pseudomonas putida KT2440 for use in performance-advantaged nylons

Rorrer, N.A., Notonier, S.F., Knott, B.C., Black, B.A., Singh, A., Nicholson, S.R., Kinchin, C.P., Schmidt, G.P., Carpenter, A.C., Ramirez, K.J., Johnson, C.W., Salvachua, D., Crowley, M., Beckham, G.T. (2022). Cell Reports Physical Science.

Modular automated bottom-up proteomic sample preparation for high-throughput applications

Chen, Y., Kaplan Lease, N., Gin, J., Ogorzalek, T., Adams, P., Hillson, N., Petzold, C. (2022). PLOS ONE.

Making Security Viral: Shifting Engineering Biology Culture and Publishing

Mackelprang, R., Adamala, K., Aurand, E., Diggans, J., Ellington, A., Weiss Evans, S., Fortman, C., Hillson, N., Hinman, A., Isaacs, F., Medford, J., Mamaghani, S., Seok Moon, T., Palmer, M., Peccoud, J., Vitalis, E., Hook-Barnard, I., and Friedman, D. (2022). ACS Synthetic Biology.

Multi-Omics Technologies for Optimizing Synthetic Biomanufacturing

Kim, Y., Petzold, C., Kerkhoven, E., Baker, S. (2021). Frontiers in Bioengineering and Biotechnology .

BioParts—A Biological Parts Search Portal and Updates to the ICE Parts Registry Software Platform

Plahar, H., Rich, T., Lane, S., Morrell, W., Springthorpe, L., Nnadi, O., Aravina, E., Dai, T., Fero, M., Hillson, N., Petzold, C (2021). ACS Synthetic Biology.

Integration of Proteomics and Metabolomics Into the Design, Build, Test, Learn Cycle to Improve 3-Hydroxypropionic Acid Production in Aspergillus pseudoterreus

Pomraning, K., Dai, Z., Munoz, N., Kim, Y., Gao, Y., Deng, S., Kim, J., Hofstad, B., Swita, M., Lemmon, T., Collett, J., Panisko, E., Webb-Robertson, B., Zucker, J., Nicora, C., De Paoli, H., Baker, S., Burnum-Johnson, K., Hillson, N., and Magnuson, J. (2021). Frontiers in Bioengineering and Biotechnology.