Ranjan Srivastava
Professor/Chem and Biomolecular Engr
Storrs Mansfield
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Scholarly Contributions
105 Scholarly Contributions
Integration of reaction kinetics theory and gene expression programming to infer reaction mechanism
Research Type: Conference Proceedings
Metabolite Overproduction through Engineering and Optimization of Microbiome Composition Dynamics
Research Type: Conference Proceedings
The use of falling film aeration for low impact oxygenation of natural ecosystems a model feasibility study
Research Type: Conference Proceedings
General machine learning based predictive method for energy-geometry dependency of molecules
Research Type: Conference Proceedings
Using phosphoproteomic analysis to better understand gene regulatory networks
Research Type: Conference Proceedings
Phospho-proteomic and transcriptomic data for fungal cell-wall repair pathway reveal new functionality
Research Type: Conference Proceedings
Insights into the protein secretory pathway in filamentous fungi using random and targeted mutational approaches
Research Type: Conference Proceedings
Genome-scale metabolic analysis of the iron acquisition system in of Bacillus anthracis
Research Type: Conference Proceedings
Metabolite overproduction through engineering and optimization of microbiome composition dynamics
Research Type: Conference Proceedings
mRNA volatility as a strategy in designing and implementing effective antisense
Research Type: Conference Proceedings
Analysis and Modeling of the Effects of MRNA Antisense Targeted Against the 32 Stress Response Sigma Factor in Escherichia Coli
Research Type: Conference Proceedings
Developing an Omics-Based Approach to Understand and Model Eukaryotic Signal Transduction
Research Type: Conference Proceedings
Optimizing personalized treatment of oral mucositis secondary to cancer therapy through systems biology
Research Type: Conference Proceedings
Integration of Reaction Kinetics Theory and Gene Expression Programming to Infer Reaction Mechanism
Research Type: Conference Proceedings
Combining structural and chemical feature predictors for fast and robust prediction of CO2 adsorption by metal organic frameworks using a machine learning approach
Research Type: Conference Proceedings
Phosphoproteomic and transcriptomic analysis of cell wall stress response in Aspergillus nidulans reveals novel cell wall integrity signaling proteins
Research Type: Conference Proceedings