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Sara Molinari, Ph.D.
Sara Molinari, Ph.D.
Verified email at umd.edu - Homepage
Title
Cited by
Cited by
Year
Computational strategies for a system-level understanding of metabolism
P Cazzaniga, C Damiani, D Besozzi, R Colombo, MS Nobile, D Gaglio, ...
Metabolites 4 (4), 1034-1087, 2014
602014
Bottom-up approaches to engineered living materials: Challenges and future directions
CMAF Sara Molinari, Robert F. Tesoriero Jr.
Matter 4 (10), 3095-3120, 2021
372021
A synthetic system for asymmetric cell division in Escherichia coli
S Molinari, DL Shis, SP Bhakta, J Chappell, OA Igoshin, MR Bennett
Nature chemical biology 15 (9), 917-924, 2019
292019
A de novo matrix for macroscopic living materials from bacteria
S Molinari, RF Tesoriero Jr, D Li, S Sridhar, R Cai, J Soman, KR Ryan, ...
Nature communications 13 (1), 5544, 2022
282022
An ensemble evolutionary constraint-based approach to understand the emergence of metabolic phenotypes
C Damiani, D Pescini, R Colombo, S Molinari, L Alberghina, M Vanoni, ...
Natural Computing 13 (3), 321-331, 2014
212014
Engineering High-Yield Biopolymer Secretion Creates an Extracellular Protein Matrix for Living Materials
MT Orozco-Hidalgo, M Charrier, N Tjahjono, RF Tesoriero Jr, D Li, ...
Msystems 6 (2), e00903-20, 2021
152021
Tunable Dynamics in a Multistrain Transcriptional Pulse Generator
DM Zong, M Sadeghpour, S Molinari, RN Alnahhas, AJ Hirning, ...
ACS Synthetic Biology 12 (12), 3531-3543, 2023
32023
Engineering high-yield biopolymer secretion creates an extracellular protein matrix for living materials
M Charrier, MT Orozco-Hidalgo, N Tjahjono, D Li, S Molinari, KR Ryan, ...
BioRxiv, 2020
12020
De Novo-Engineered Living Materials from Bacteria
S Molinari
2023 AIChE Annual Meeting, 2023
2023
Mitf!
S Molinari
2019
Synthetic pluripotent bacterial stem cells
S Molinari, DL Shis, J Chappell, OA Igoshin, MR Bennett
bioRxiv, 436535, 2019
2019
An ensemble approach to the study of the emergence of metabolic and proliferative disorders via Flux Balance Analysis
C Damiani, R Colombo, S Molinari, D Pescini, D Gaglio, M Vanoni, ...
arXiv preprint arXiv:1309.7696, 2013
2013
Computational Strategies for a System-Level Understanding of Metabolism
MS Nobile, D Gaglio, D Pescini, S Molinari, G Mauri, L Alberghina, ...
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Articles 1–13