Adepu Kiran Kumar
Identity verified by the researcher via institutional email.
Research Scientist
Also affiliated: Indian Space Research Organisation (2024); Pennsylvania State University (2011–2015); Indian Institute of Technology Guwahati (2006–2013); Kyushu University (2011); SLAC National Accelerator Laboratory (2011); Park University (2018); Dr. Reddy's Laboratories (India) (2017); Sardar Patel Renewable Energy Research Institute (2014–2020); Biocon (India) (2015–2019); Arkansas Children's Nutrition Center (2022–2024); Osmania University (2010)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Adepu Kiran Kumar's research focuses on the biochemical and molecular characterization of proteins and enzymes, with recent work investigating biomass pretreatment and conversion for biofuel production. He has published extensively on methods for fractionating lignocellulosic biomass, including the use of natural deep eutectic solvents, and their subsequent enzymatic hydrolysis and fermentation.
Kumar's background includes a Ph.D. in biotechnology with a specialization in protein chemistry and enzymology. His postdoctoral research involved studying novel proteins and enzymes, focusing on their biochemical and structural properties. Prior to his current role as a Research Scientist at the University of Arkansas for Medical Sciences, he held positions in product development at a biotechnology company, led bioconversion technology research at a renewable energy institute, and headed R&D for a probiotic manufacturing company.
His scholarly output includes 53 publications with over 3,200 citations and an h-index of 22. Kumar collaborates with researchers at the University of Arkansas for Medical Sciences and the University of Arkansas at Fayetteville.
Metrics
- h-index: 22
- Publications: 53
- Citations: 3,306
Positions
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Staff Scientist 2020–presentUSDA-ARS Arkansas Children's Nutrition Center Pediatrics ORCID
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Research Scientist publications 2022–2025University of Arkansas for Medical Sciences Listing
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Head (R&D) 2019–2020Grasmicrobe Private Limited Research & Development ORCID
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Head of the Division 2018–2019Sardar Patel Renewable Energy Research Institute Bioconversion Technology Division ORCID
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Principal Scientist 2016–2019Sardar Patel Renewable Energy Research Institute Bioconversion Technology Division ORCID
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Senior Scientist 2013–2016Sardar Patel Renewable Energy Research Institute Bioconversion Technology ORCID
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Group Leader 2012–2013Codon Biosciences Enzymes R&D ORCID
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Post Doctoral Research Associate 2011Brookhaven National Laboratory Biosiences ORCID
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Post Doctoral Fellow 2009–2011The Pennsylvania State University Biochemistry and Molecular Biology ORCID
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Junior Research Fellow 2004–2005Indian Institute of Technology Guwahati Biotechnology ORCID
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Research Assistant 2003–2004National Institute of Nutrition Food Chemistry ORCID
Selected Publications
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From known chemical space to unannotated metabolites: a cluster-guided retention-time driven framework for biologically informed annotation (2026)
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Protein–ligand interactions in deep eutectic solvent environments: A thermodynamic and structural study (2025)
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Valorization and techno‐economic analysis of rice straw‐derived biocomposites for sound‐insulating applications (2025)
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Enhancing Mitochondrial Function in Skeletal Muscle Cells through Metabolite Modulation: Therapeutic Implications for Muscle Metabolic Diseases (2025)
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Beyond the Known Metabolome: Predictive Strategies for Dark Matter Discovery (2025)
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Unraveling Protein-Metabolite Interactions in Precision Nutrition: A Case Study of Blueberry-Derived Metabolites Using Advanced Computational Methods (2024)
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Quantitative Metabolomics-Driven Protein Target Prediction: A Computational Workflow for Precision Nutrition Discovery (2024)
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Targeted Functionalization of Waste Lignocellulosic Biomass to Produce Sound Absorbing Materials (2024)
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Myoglobin: A versatile age-old oxygen carrying hemoprotein and its emerging role in metabolite regulation in diverse tissues (2024)
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A versatile delivery vehicle for cellular oxygen and fuels or metabolic sensor? A review and perspective on the functions of myoglobin (2024)
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Targeted Functionalization of Waste Lignocellulosic Biomass to Produce Sound Absorbing Materials (2023)
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Computational Analysis Reveals Unique Binding Patterns of Oxygenated and Deoxygenated Myoglobin to the Outer Mitochondrial Membrane (2023)
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Exploring GPR109A Receptor Interaction with Hippuric Acid Using MD Simulations and CD Spectroscopy (2022)
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Myoglobin–Pyruvate Interactions: Binding Thermodynamics, Structure–Function Relationships, and Impact on Oxygen Release Kinetics (2022)
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Computational insights on molecular interactions of acifran with GPR109A and GPR109B (2022)
Collaboration Network
Top Collaborators
- A versatile delivery vehicle for cellular oxygen and fuels or metabolic sensor? A review and perspective on the functions of myoglobin
- Myoglobin Interaction with Lactate Rapidly Releases Oxygen: Studies on Binding Thermodynamics, Spectroscopy, and Oxygen Kinetics
- Structural and Energetic Insights Into the Interaction of Niacin With the GPR109A Receptor
- Exploring GPR109A Receptor Interaction with Hippuric Acid Using MD Simulations and CD Spectroscopy
- Myoglobin–Pyruvate Interactions: Binding Thermodynamics, Structure–Function Relationships, and Impact on Oxygen Release Kinetics
Showing 5 of 13 shared publications
- Myoglobin Interaction with Lactate Rapidly Releases Oxygen: Studies on Binding Thermodynamics, Spectroscopy, and Oxygen Kinetics
- Exploring GPR109A Receptor Interaction with Hippuric Acid Using MD Simulations and CD Spectroscopy
- Myoglobin–Pyruvate Interactions: Binding Thermodynamics, Structure–Function Relationships, and Impact on Oxygen Release Kinetics
- Unraveling Protein-Metabolite Interactions in Precision Nutrition: A Case Study of Blueberry-Derived Metabolites Using Advanced Computational Methods
- Computational insights on molecular interactions of acifran with GPR109A and GPR109B
Showing 5 of 11 shared publications
- A versatile delivery vehicle for cellular oxygen and fuels or metabolic sensor? A review and perspective on the functions of myoglobin
- Myoglobin Interaction with Lactate Rapidly Releases Oxygen: Studies on Binding Thermodynamics, Spectroscopy, and Oxygen Kinetics
- Structural and Energetic Insights Into the Interaction of Niacin With the GPR109A Receptor
- Exploring GPR109A Receptor Interaction with Hippuric Acid Using MD Simulations and CD Spectroscopy
- Myoglobin–Pyruvate Interactions: Binding Thermodynamics, Structure–Function Relationships, and Impact on Oxygen Release Kinetics
Showing 5 of 9 shared publications
- A versatile delivery vehicle for cellular oxygen and fuels or metabolic sensor? A review and perspective on the functions of myoglobin
- Myoglobin Interaction with Lactate Rapidly Releases Oxygen: Studies on Binding Thermodynamics, Spectroscopy, and Oxygen Kinetics
- Myoglobin–Pyruvate Interactions: Binding Thermodynamics, Structure–Function Relationships, and Impact on Oxygen Release Kinetics
- Computational Analysis Reveals Unique Binding Patterns of Oxygenated and Deoxygenated Myoglobin to the Outer Mitochondrial Membrane
- Myoglobin: A versatile age-old oxygen carrying hemoprotein and its emerging role in metabolite regulation in diverse tissues
- Unraveling Protein-Metabolite Interactions in Precision Nutrition: A Case Study of Blueberry-Derived Metabolites Using Advanced Computational Methods
- Quantitative Metabolomics-Driven Protein Target Prediction: A Computational Workflow for Precision Nutrition Discovery
- Beyond the Known Metabolome: Predictive Strategies for Dark Matter Discovery
- From known chemical space to unannotated metabolites: a cluster-guided retention-time driven framework for biologically informed annotation
- Structural and Energetic Insights Into the Interaction of Niacin With the GPR109A Receptor
- Exploring GPR109A Receptor Interaction with Hippuric Acid Using MD Simulations and CD Spectroscopy
- Computational insights on molecular interactions of acifran with GPR109A and GPR109B
- Targeted Functionalization of Waste Lignocellulosic Biomass to Produce Sound Absorbing Materials
- Targeted Functionalization of Waste Lignocellulosic Biomass to Produce Sound Absorbing Materials
- Valorization and techno‐economic analysis of rice straw‐derived biocomposites for sound‐insulating applications
- Targeted Functionalization of Waste Lignocellulosic Biomass to Produce Sound Absorbing Materials
- Targeted Functionalization of Waste Lignocellulosic Biomass to Produce Sound Absorbing Materials
- Valorization and techno‐economic analysis of rice straw‐derived biocomposites for sound‐insulating applications
- Targeted Functionalization of Waste Lignocellulosic Biomass to Produce Sound Absorbing Materials
- Targeted Functionalization of Waste Lignocellulosic Biomass to Produce Sound Absorbing Materials
- Valorization and techno‐economic analysis of rice straw‐derived biocomposites for sound‐insulating applications
- Targeted Functionalization of Waste Lignocellulosic Biomass to Produce Sound Absorbing Materials
- Targeted Functionalization of Waste Lignocellulosic Biomass to Produce Sound Absorbing Materials
- Valorization and techno‐economic analysis of rice straw‐derived biocomposites for sound‐insulating applications
- Targeted Functionalization of Waste Lignocellulosic Biomass to Produce Sound Absorbing Materials
- Targeted Functionalization of Waste Lignocellulosic Biomass to Produce Sound Absorbing Materials
- Targeted Functionalization of Waste Lignocellulosic Biomass to Produce Sound Absorbing Materials
- Valorization and techno‐economic analysis of rice straw‐derived biocomposites for sound‐insulating applications
- Unraveling Protein-Metabolite Interactions in Precision Nutrition: A Case Study of Blueberry-Derived Metabolites Using Advanced Computational Methods
- Quantitative Metabolomics-Driven Protein Target Prediction: A Computational Workflow for Precision Nutrition Discovery
- Beyond the Known Metabolome: Predictive Strategies for Dark Matter Discovery
- From known chemical space to unannotated metabolites: a cluster-guided retention-time driven framework for biologically informed annotation
- Beyond the Known Metabolome: Predictive Strategies for Dark Matter Discovery
- From known chemical space to unannotated metabolites: a cluster-guided retention-time driven framework for biologically informed annotation
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