| 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 | 102 | 2022 |
| 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 | 9 | 2021 |
| Rank-ordering of known enzymes as starting points for re-engineering novel substrate activity using a convolutional neural network V Upadhyay, VS Boorla, CD Maranas Metabolic engineering 78, 171-182, 2023 | 4 | 2023 |
| Statistical modeling of cell‐to‐cell variability in viral infection during passaging in suspension cell culture: Application in Monte‐Carlo simulation A Saxena, S Ravutla, V Upadhyay, S Jana, D Murhammer, L Giri Biotechnology and bioengineering 117 (5), 1483-1501, 2020 | 3 | 2020 |
| A model screening framework for the generation of Ca2+ oscillations in hippocampal neurons using differential evolution V Upadhyay, RS Teja, V Dhyani, K George, S Swain, K Mitra, L Giri 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 961-964, 2019 | 3 | 2019 |
| ML helps predict enzyme turnover rates VS Boorla, V Upadhyay, CD Maranas Nature Catalysis 5 (8), 655-657, 2022 | 2 | 2022 |
| Cell-to-Cell Variability in Protein Expression during Viral Infection: Monte-Carlo Simulation and Validation based on Confocal Imaging* A Saxena, V Upadhyay, V Dhyani, S Jana, L Giri 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 2 | 2019 |
| Dgpredictor: Automated Fragmentation Method for Gibbs Energy Change Prediction of Metabolic Reaction and De Novo Pathway Design V Upadhyay, CD Maranas 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Expression during Viral Infection: Monte-Carlo Simulation and Validation based on Confocal Imaging A Saxena, V Upadhyay, V Dhyani, S Jana | | 2019 |
