| Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v. 3.0 L Heirendt, S Arreckx, T Pfau, SN Mendoza, A Richelle, A Heinken, ... Nature protocols 14 (3), 639, 2019 | 1194 | 2019 |
| Toward low-cost biological and hybrid biological/catalytic conversion of cellulosic biomass to fuels LR Lynd, GT Beckham, AM Guss, LN Jayakody, EM Karp, C Maranas, ... Energy & Environmental Science 15 (3), 938-990, 2022 | 179 | 2022 |
| A review of computational tools for design and reconstruction of metabolic pathways L Wang, S Dash, CY Ng, CD Maranas Synthetic and systems biotechnology 2 (4), 243-252, 2017 | 151 | 2017 |
| Standardizing biomass reactions and ensuring complete mass balance in genome-scale metabolic models SHJ Chan, J Cai, L Wang, MN Simons-Senftle, CD Maranas Bioinformatics 33 (22), 3603-3609, 2017 | 117 | 2017 |
| Pathway design using de novo steps through uncharted biochemical spaces A Kumar†, L Wang†, CY Ng†, CD Maranas Nature communications 9 (1), 184, 2018 | 108 | 2018 |
| Building kinetic models for metabolic engineering CJ Foster, L Wang, HV Dinh, PF Suthers, CD Maranas Current Opinion in Biotechnology 67, 35-41, 2020 | 52 | 2020 |
| MinGenome: An In Silico Top-Down Approach for the Synthesis of Minimized Genomes L Wang, CD Maranas ACS synthetic biology 7 (2), 462-473, 2018 | 43 | 2018 |
| Recent advances in constraint and machine learning-based metabolic modeling by leveraging stoichiometric balances, thermodynamic feasibility and kinetic law formalisms PF Suthers, CJ Foster, D Sarkar, L Wang, CD Maranas Metabolic Engineering, 2020 | 36 | 2020 |
| Pareto Optimality Explanation of the Glycolytic Alternatives in Nature CY Ng, L Wang, A Chowdhury, CD Maranas Scientific reports 9 (1), 2633, 2019 | 28 | 2019 |
| Accelerating flux balance calculations in genome-scale metabolic models by localizing the application of loopless constraints SHJ Chan, L Wang, S Dash, CD Maranas Bioinformatics 34 (24), 4248-4255, 2018 | 25 | 2018 |
| dGPredictor: Automated fragmentation method for metabolic reaction free energy prediction and de novo pathway design L Wang, V Upadhyay, CD Maranas PLoS computational biology 17 (9), e1009448, 2021 | 18 | 2021 |
| Exploring the combinatorial space of complete pathways to chemicals L Wang, CY Ng, S Dash, CD Maranas Biochemical Society Transactions 46 (3), 513-522, 2018 | 16 | 2018 |
| 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 | 12 | 2020 |
| Computationally Prospecting Potential Pathways from Lignin Monomers and Dimers toward Aromatic Compounds L Wang, CD Maranas ACS Synthetic Biology 10 (5), 1064-1076, 2021 | 8 | 2021 |
| 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 |
| Computational Methods for Designing de Novo Metabolic Pathways and Genome-Minimized Chassis Strains L Wang The Pennsylvania State University, 2020 | | 2020 |
| Metabolism of S-lignin by Pseudomonas putida KT2440 CW Johnson, S Notonier, L Dumalo, PE Abraham, EA Hatmaker, ... SIMB Annual Meeting and Exhibition 2019, 2019 | | 2019 |
| MinGenome: Top-down synthesis of genome minimized strains for bioproduction L Wang, C Maranas ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 255, 2018 | | 2018 |
| Principles of Systems Biology L Wang, CD Maranas Cell Systems 6 (2), 142-145, 2018 | | 2018 |
| Uncovering and Correcting the Effect of Biomass Molecular Weight Discrepancies in FBA Calculations SHJ Chan, J Cai, L Wang, M Simons-Senftle, CD Maranas 2017 AIChE Annual Meeting, 2017 | | 2017 |
Costas D. MaranasDonald B. Broughton Professor of Chemical Engineering, Penn State UniversityEmail verificata su psu.edu