Automated Design of Oligopools and Rapid Analysis of Massively Parallel Barcoded Measurements.

Autor: Hossain A; Bioinformatics and Genomics, Pennsylvania State University, University Park, Pennsylvania 16802, United States., Cetnar DP; Department of Chemical Engineering, Pennsylvania State University, University Park, Pennsylvania 16802, United States., LaFleur TL; Department of Chemical Engineering, Pennsylvania State University, University Park, Pennsylvania 16802, United States., McLellan JR; Department of Chemical Engineering, Pennsylvania State University, University Park, Pennsylvania 16802, United States., Salis HM; Bioinformatics and Genomics, Pennsylvania State University, University Park, Pennsylvania 16802, United States.; Department of Chemical Engineering, Pennsylvania State University, University Park, Pennsylvania 16802, United States.; Department of Biological Engineering, Pennsylvania State University, University Park, Pennsylvania 16802, United States.; Department of Biomedical Engineering, Pennsylvania State University, University Park, Pennsylvania 16802, United States.

Publikováno v: ACS synthetic biology [ACS Synth Biol] 2024 Dec 20; Vol. 13 (12), pp. 4218-4232. Date of Electronic Publication: 2024 Dec 06.

Predicting synthetic mRNA stability using massively parallel kinetic measurements, biophysical modeling, and machine learning.

Autor: Cetnar DP; Department of Chemical Engineering, The Pennsylvania State University, University Park, PA, USA., Hossain A; Graduate Program in Bioinformatics and Genomics, The Pennsylvania State University, University Park, PA, USA., Vezeau GE; Department of Biological Engineering, The Pennsylvania State University, University Park, PA, USA., Salis HM; Department of Chemical Engineering, The Pennsylvania State University, University Park, PA, USA. salis@psu.edu.; Department of Biological Engineering, The Pennsylvania State University, University Park, PA, USA. salis@psu.edu.; Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA, USA. salis@psu.edu.

Publikováno v: Nature communications [Nat Commun] 2024 Nov 06; Vol. 15 (1), pp. 9601. Date of Electronic Publication: 2024 Nov 06.

Automated design of thousands of nonrepetitive parts for engineering stable genetic systems.

Autor: Hossain A; Bioinformatics and Genomics, Pennsylvania State University, University Park, PA, USA., Lopez E; Department of Electrical & Computer Engineering, University of Washington, Seattle, WA, USA., Halper SM; Department of Chemical Engineering, Pennsylvania State University, University Park, PA, USA., Cetnar DP; Department of Chemical Engineering, Pennsylvania State University, University Park, PA, USA., Reis AC; Department of Chemical Engineering, Pennsylvania State University, University Park, PA, USA., Strickland D; Department of Electrical & Computer Engineering, University of Washington, Seattle, WA, USA., Klavins E; Department of Electrical & Computer Engineering, University of Washington, Seattle, WA, USA., Salis HM; Bioinformatics and Genomics, Pennsylvania State University, University Park, PA, USA. salis@psu.edu.; Department of Chemical Engineering, Pennsylvania State University, University Park, PA, USA. salis@psu.edu.; Department of Biological Engineering, Pennsylvania State University, University Park, PA, USA. salis@psu.edu.; Department of Biomedical Engineering, Pennsylvania State University, University Park, PA, USA. salis@psu.edu.

Publikováno v: Nature biotechnology [Nat Biotechnol] 2020 Dec; Vol. 38 (12), pp. 1466-1475. Date of Electronic Publication: 2020 Jul 13.

An Automated Pipeline for Engineering Many-Enzyme Pathways: Computational Sequence Design, Pathway Expression-Flux Mapping, and Scalable Pathway Optimization.

Autor: Halper SM; Department of Chemical Engineering, Pennsylvania State University, University Park, PA, 16802, USA., Cetnar DP; Department of Chemical Engineering, Pennsylvania State University, University Park, PA, 16802, USA., Salis HM; Department of Chemical Engineering, Pennsylvania State University, University Park, PA, 16802, USA. salis@psu.edu.; Department of Biological Engineering, Pennsylvania State University, University Park, PA, 16802, USA. salis@psu.edu.

Publikováno v: Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2018; Vol. 1671, pp. 39-61.