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Ranjan Srivastava

University of Connecticut

34

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796

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In Silico Evolution of High-Performing Metal Organic Frameworks for Methane Adsorption.

2021 Journal of Chemical Information and Modeling
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Dynamic transcriptomic and phosphoproteomic analysis during cell wall stress in Aspergillus nidulans.

2020 Molecular & Cellular Proteomics
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Classification of Tea Aromas Using Multi-Nanoparticle Based Chemiresistor Arrays

2019 Sensors
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Trends in Solid Adsorbent Materials Development for CO2 Capture

2019 ACS Applied Materials & Interfaces
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Comprehensive Analysis of Aspergillus nidulans PKA Phosphorylome Identifies a Novel Mode of CreA Regulation

2019 Mbio
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Phosphoproteomic and transcriptomic analyses reveal multiple functions for Aspergillus nidulans MpkA independent of cell wall stress

2019 Fungal Genetics and Biology
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Low-abundant bacteria drive compositional changes in the gut microbiota after dietary alteration

2018 Mbio
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Machine Learning Using Combined Structural and Chemical Descriptors for Prediction of Methane Adsorption Performance of Metal Organic Frameworks (MOFs)

2017 ACS Combinatorial Science
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Integration of Reaction Kinetics Theory and Gene Expression Programming to Infer Reaction Mechanism

2017 ECAEC | European Conference on Applications of Evolutionary Computation
- Jason R. White
- Ranjan Srivastava
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Mucositis in cancer patients: Prototypic semi-mechanistic kinetic model

2016 Journal of Clinical Oncology
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