Maranas, Costas D.

Synthetic biology of cyanobacteria: unique challenges and opportunities

Berla, B. M., Saha, R., Immethun, C. M., Maranas, C. D., Moon, T. S., & Pakrasi, H. B. (2013) · Frontiers in Microbiology

Microbial Metabolic Engineering and BioproductionAlgal biology and biofuel production

Cited by 305

A genome-scale Escherichia coli kinetic metabolic model k-ecoli457 satisfying flux data for multiple mutant strains

Khodayari, A., & Maranas, C. D. (2016) · Nature Communications

Microbial Metabolic Engineering and BioproductionGene Regulatory Network Analysis

Cited by 230

Zea mays iRS1563: A Comprehensive Genome-Scale Metabolic Reconstruction of Maize Metabolism

Saha, R., Suthers, P. F., & Maranas, C. D. (2011) · PLoS ONE

Microbial Metabolic Engineering and BioproductionBioinformatics and Genomic Networks

Cited by 201

A genome-scale metabolic reconstruction of Mycoplasma genitalium, iPS189

Suthers, P. F., Dasika, M. S., Kumar, V. S., Denisov, G., Glass, J. I., & Maranas, C. D. (2009) · PLoS Computational Biology

Microbial Metabolic Engineering and BioproductionGene Regulatory Network Analysis

Cited by 144

OptCDR: a general computational method for the design of antibody complementarity determining regions for targeted epitope binding

Pantazes, R. J., & Maranas, C. D. (2010) · Protein Engineering Design and Selection

Protein Structure and DynamicsMonoclonal and Polyclonal Antibodies Research

Cited by 97

Nitrogen-use efficiency in maize (Zea mays L.): from ‘omics’ studies to metabolic modelling

Simons, M., Saha, R., Guillard, L., Clement, G., Armengaud, P., Canas, R., Maranas, C. D., Lea, P. J., & Hirel, B. (2014) · Journal of Experimental Botany

Plant nutrient uptake and metabolismMicrobial Metabolic Engineering and Bioproduction

Cited by 87

OptMAVEn—a new framework for the de novo design of antibody variable region models targeting specific antigen epitopes

Li, T., Pantazes, R. J., & Maranas, C. D. (2014) · PLoS ONE

Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches

Cited by 79

Cyanobacterial Alkanes Modulate Photosynthetic Cyclic Electron Flow to Assist Growth under Cold Stress

Berla, B. M., Saha, R., Maranas, C. D., & Pakrasi, H. B. (2015) · Scientific Reports

Photosynthetic Processes and MechanismsAlgal biology and biofuel production

Cited by 76

Do genome-scale models need exact solvers or clearer standards?

Ebrahim, A., Almaas, E., Bauer, E., Bordbar, A., Burgard, A. P., Chang, R. L., Dräger, A., Famili, I., Feist, A. M., Fleming, R. M., et al. (2015) · Molecular Systems Biology

Microbial Metabolic Engineering and BioproductionGene Regulatory Network Analysis

Cited by 57

Metabolic model guided strain design of cyanobacteria

Hendry, J. I., Bandyopadhyay, A., Srinivasan, S., Pakrasi, H. B., & Maranas, C. D. (2020) · Current Opinion in Biotechnology

Microbial Metabolic Engineering and BioproductionAlgal biology and biofuel production

Cited by 46

Engineering biology approaches for food and nutrient production by cyanobacteria

Liu, D., Liberton, M., Hendry, J. I., Aminian-Dehkordi, J., Maranas, C. D., & Pakrasi, H. B. (2021) · Current Opinion in Biotechnology

Microbial Metabolic Engineering and BioproductionAlgal biology and biofuel production

Cited by 38

A multi-organ maize metabolic model connects temperature stress with energy production and reducing power generation

Chowdhury, N. B., Simons-Senftle, M., Decouard, B., Quillere, I., Rigault, M., Sajeevan, K. A., Acharya, B., Chowdhury, R., Hirel, B., Dellagi, A., et al. (2023) · iScience

Microbial Metabolic Engineering and BioproductionBioinformatics and Genomic Networks

Cited by 25

Multi-organ Metabolic Model of Zea mays Connects Temperature Stress with Thermodynamics-Reducing Power-Energy Generation Axis

Chowdhury, N. B., Decouard, B., Quillere, I., Rigault, M., Sajeevan, K. A., Acharya, B., Chowdhury, R., Hirel, B., Dellagi, A., Maranas, C., et al. (2023) · iScience

Microbial Metabolic Engineering and BioproductionBioinformatics and Genomic Networks

Cited by 25

BindPred: a framework for predicting protein–protein binding affinity from language model embeddings

Piao, H., Boorla, V. S., Santra, S., & Maranas, C. D. (2026) · Bioinformatics

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 0