Zahra Razaghi-Moghadam

According to our database, Zahra Razaghi-Moghadam authored at least 10 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Harnessing the optimization of enzyme catalytic rates in engineering of metabolic phenotypes.

Zahra Razaghi-Moghadam, Fayaz Soleymani Babadi, Zoran Nikoloski

PLoS Comput. Biol., 2024

2023

Maximizing multi-reaction dependencies provides more accurate and precise predictions of intracellular fluxes than the principle of parsimony.

Seirana Hashemi, Zahra Razaghi-Moghadam, Zoran Nikoloski

PLoS Comput. Biol., 2023

2021

Maximization of non-idle enzymes improves the coverage of the estimated maximal in vivo enzyme catalytic rates in Escherichia coli.

Rudan Xu, Zahra Razaghi-Moghadam, Zoran Nikoloski

Bioinform., 2021

GeneReg: a constraint-based approach for design of feasible metabolic engineering strategies at the gene level.

Zahra Razaghi-Moghadam, Zoran Nikoloski

Bioinform., 2021

2019

CAMIRADA: Cancer microRNA association discovery algorithm, a case study on breast cancer.

Sepideh Shamsizadeh, Sama Goliaei, Zahra Razaghi-Moghadam

J. Biomed. Informatics, 2019

2018

A systematic survey of centrality measures for protein-protein interaction networks.

Minoo Ashtiani, Ali Salehzadeh-Yazdi, Zahra Razaghi-Moghadam, Holger Hennig, Olaf Wolkenhauer, Mehdi Mirzaie, Mohieddin Jafari

BMC Syst. Biol., 2018

2016

HybridRanker: Integrating network topology and biomedical knowledge to prioritize cancer candidate genes.

Zahra Razaghi-Moghadam, Razieh Abdollahi, Sama Goliaei, Morteza Ebrahimi

J. Biomed. Informatics, 2016

HybridRanker: Integrating network structure and disease knowledge to prioritize cancer candidate genes.

Razieh Abdollahi, Zahra Razaghi-Moghadam, Sama Goliaei, Morteza Ebrahimi

CoRR, 2016

NRSSPrioritize: Associating Protein Complex and Disease Similarity Information to Prioritize Disease Candidate Genes.

Zahra Razaghi-Moghadam, Razieh Abdollahi, Sama Goliaei, Morteza Ebrahimi

CoRR, 2016

CeFunMO: A centrality based method for discovering functional motifs with application in biological networks.

Morteza Kouhsar, Zahra Razaghi-Moghadam, Zaynab Mousavian, Ali Masoudi-Nejad

Comput. Biol. Medicine, 2016