| A comprehensive genome-scale model for Rhodosporidium toruloides IFO0880 accounting for functional genomics and phenotypic data HV Dinh, PF Suthers, SHJ Chan, Y Shen, T Xiao, A Deewan, SS Jagtap, ... Metabolic engineering communications 9, e00101, 2019 | 66 | 2019 |
| Building kinetic models for metabolic engineering CJ Foster, L Wang, HV Dinh, PF Suthers, CD Maranas Current Opinion in Biotechnology 67, 35-41, 2021 | 52 | 2021 |
| Mitochondrial ATP generation is more proteome efficient than glycolysis Y Shen, HV Dinh, ER Cruz, Z Chen, CR Bartman, T Xiao, CM Call, ... Nature Chemical Biology, 1-10, 2024 | 31 | 2024 |
| Genome-scale metabolic reconstruction of the non-model yeast Issatchenkia orientalis SD108 and its application to organic acids production PF Suthers, HV Dinh, Z Fatma, Y Shen, SHJ Chan, JD Rabinowitz, ... Metabolic engineering communications 11, e00148, 2020 | 30 | 2020 |
| Metabolic engineering of Rhodotorula toruloides IFO0880 improves C16 and C18 fatty alcohol production from synthetic media JC Schultz, S Mishra, E Gaither, A Mejia, H Dinh, C Maranas, H Zhao Microbial Cell Factories 21 (1), 1-14, 2022 | 26 | 2022 |
| Identification of growth-coupled production strains considering protein costs and kinetic variability HV Dinh, ZA King, BO Palsson, AM Feist Metabolic engineering communications 7, e00080, 2018 | 25 | 2018 |
| Comparative study of two Saccharomyces cerevisiae strains with kinetic models at genome-scale M Hu, HV Dinh, Y Shen, PF Suthers, CJ Foster, CM Call, X Ye, J Pratas, ... Metabolic engineering 76, 1-17, 2023 | 21 | 2023 |
| Quantifying the propagation of parametric uncertainty on flux balance analysis HV Dinh, D Sarkar, CD Maranas Metabolic engineering 69, 26-39, 2022 | 21 | 2022 |
| Metabolic flux analysis reaching genome wide coverage: lessons learned and future perspectives JI Hendry, HV Dinh, C Foster, S Gopalakrishnan, L Wang, CD Maranas Current Opinion in Chemical Engineering 30, 17-25, 2020 | 11 | 2020 |
| Evaluating proteome allocation of Saccharomyces cerevisiae phenotypes with resource balance analysis HV Dinh, CD Maranas Metabolic engineering 77, 242-255, 2023 | 8 | 2023 |
| A Genome-Scale Metabolic Model of Anabaena 33047 to Guide Genetic Modifications to Overproduce Nylon Monomers JI Hendry, HV Dinh, D Sarkar, L Wang, A Bandyopadhyay, HB Pakrasi, ... Metabolites 11 (3), 168, 2021 | 7 | 2021 |
| Proteome capacity constraints favor respiratory ATP generation Y Shen, HV Dinh, E Cruz, CM Call, H Baron, RP Ryseck, J Pratas, ... bioRxiv, 2022.08. 10.503479, 2022 | 5 | 2022 |
| FROG Analysis Ensures the Reproducibility of Genome Scale Metabolic Models K Raman, M Kratochvil, BG Olivier, M Konig, P Sengupta, DKK Baskaran, ... bioRxiv, 2024.09. 24.614797, 2024 | 3 | 2024 |
| Proteome efficiency of bioenergetic pathways Y Shen, HV Dinh, E Cruz, Z Chen, CR Bartman, Y Yoshikuni, H Zhao, ... Biophysical Journal 123 (3), 248a, 2024 | | 2024 |
| Data-Integrated and Model-Driven Analysis of Yeast Metabolism and Resource Allocation at Genome-Scale HV Dinh The Pennsylvania State University, 2023 | | 2023 |
| Building a Large-Scale Kinetic Model for Saccharomyces Cerevisiae: Challenges and Insights M Hu, H Dinh, Y Shen, C Foster, P Suthers, JD Rabinowitz, CD Maranas 2022 AIChE Annual Meeting, 2022 | | 2022 |
| A Genome-Scale Metabolic Model of Anabaena 33047 to Guide Genetic Modifications to Overproduce Nylon Monomers. Metabolites 2021, 11, 168 JI Hendry, HV Dinh, D Sarkar, L Wang, A Bandyopadhyay, HB Pakrasi, ... s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
| Identification of growth-coupled and kinetically robust production in strain designs using genome-scale models HV Dinh University of California, San Diego, 2017 | | 2017 |
| Construction of genome-scale metabolic models for non-model yeast organisms for biofuel and bioproduct engineering SHJ Chan, H Dinh, S Gopalakrishnan, CD Maranas | | |
Costas D. MaranasDonald B. Broughton Professor of Chemical Engineering, Penn State University確認したメール アドレス: psu.edu