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Daniel C. Zielinski

La Jolla Bioengineering Institute ·
Area of research
Molecular Biology · Genetics
Research interest
Research interests include Microbial Metabolic Engineering and Bioproduction, Gene Regulatory Network Analysis, Bioinformatics and Genomic Networks, and Bacterial Genetics and Biotechnology.
h-index
24
citations
5,291
works
93
NIH funding
primary concept
email

Recent publications

Extracellular respiration is a latent energy metabolism in Escherichia coli
Cell 2025cited by 23position: middledoi
iModulonDB 2.0: dynamic tools to facilitate knowledge-mining and user-enabled analyses of curated transcriptomic datasets
Nucleic Acids Research 2024cited by 27position: middledoi
iModulonMiner and PyModulon: Software for unsupervised mining of gene expression compendia
PLoS Computational Biology 2024cited by 24position: lastdoi
Deciphering nutritional stress responses via knowledge-enriched transcriptomics for microbial engineering
Metabolic Engineering 2024cited by 10position: middledoi
A multi-scale expression and regulation knowledge base for<i>Escherichia coli</i>
Nucleic Acids Research 2023cited by 59position: middledoi
MASSpy: Building, simulating, and visualizing dynamic biological models in Python using mass action kinetics
PLoS Computational Biology 2021cited by 45position: middledoi
Recon3D enables a three-dimensional view of gene variation in human metabolism
Nature Biotechnology 2018cited by 812position: middledoi
Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models
Nature Communications 2018cited by 247position: middledoi
A Systematic Evaluation of Methods for Tailoring Genome-Scale Metabolic Models
Cell Systems 2017cited by 248position: middledoi
Systems biology analysis of drivers underlying hallmarks of cancer cell metabolism
Scientific Reports 2017cited by 110position: firstdoi
Recon 2.2: from reconstruction to model of human metabolism
Metabolomics 2016cited by 329position: middledoi
A Consensus Genome-scale Reconstruction of Chinese Hamster Ovary Cell Metabolism
Cell Systems 2016cited by 269position: middledoi
Genome-Scale Metabolic Model for the Green Alga <i>Chlorella vulgaris</i> UTEX 395 Accurately Predicts Phenotypes under Autotrophic, Heterotrophic, and Mixotrophic Growth Conditions
PLANT PHYSIOLOGY 2016cited by 128position: middledoi
Personalized Whole-Cell Kinetic Models of Metabolism for Discovery in Genomics and Pharmacodynamics
Cell Systems 2015cited by 103position: middledoi
A Systems Approach to Predict Oncometabolites via Context-Specific Genome-Scale Metabolic Networks
PLoS Computational Biology 2014cited by 76position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Bernhard Ø. Palsson · Novo Nordisk Foundation11 papers (2014–2025)Kevin Rychel · University of California San Diego3 papers (2023–2024)Aarash Bordbar · Sinopia Biosciences (United States)3 papers (2014–2017)Zachary B. Haiman · University of Colorado Anschutz Medical Campus3 papers (2018–2024)Anand V. Sastry · University of California San Diego3 papers (2018–2024)Nathan E. Lewis · University of Georgia2 papers (2016–2017)Jongoh Shin · Chonnam National University2 papers (2024–2024)Jeffrey T. A. Burrows · University of California San Diego2 papers (2024–2024)Alex Thomas · Foundation Center2 papers (2016–2017)Cameron Lamoureux · University of California San Diego2 papers (2023–2024)Arjun Patel · University of California San Diego2 papers (2024–2025)Nathan Mih · University of California San Diego2 papers (2018–2018)Neema Jamshidi · University of California, Los Angeles2 papers (2015–2017)Gaoyuan Li · Qilu Hospital of Shandong University2 papers (2024–2024)Yuan Yuan · University of California San Diego2 papers (2024–2024)Peter W. Rose · University of North Carolina at Chapel Hill1 papers (2018–2018)Miguel A. Campodonico · Novo Nordisk Foundation1 papers (2014–2014)Richard Szubin · University of California San Diego1 papers (2025–2025)Karsten Zengler · Scripps Institution of Oceanography1 papers (2016–2016)Chien‐Ting Li · Johns Hopkins Medicine1 papers (2016–2016)