Radhakrishnan Mahadevan

ORCID: 0000-0002-1270-9063
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About
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Research Areas
  • Microbial Metabolic Engineering and Bioproduction
  • Biofuel production and bioconversion
  • Gene Regulatory Network Analysis
  • Microbial Fuel Cells and Bioremediation
  • Enzyme Catalysis and Immobilization
  • Viral Infectious Diseases and Gene Expression in Insects
  • Bioinformatics and Genomic Networks
  • Microbial Community Ecology and Physiology
  • Advanced Control Systems Optimization
  • Metal Extraction and Bioleaching
  • Radioactive element chemistry and processing
  • Fungal and yeast genetics research
  • Process Optimization and Integration
  • Bacterial Genetics and Biotechnology
  • Mine drainage and remediation techniques
  • Corrosion Behavior and Inhibition
  • Microbial bioremediation and biosurfactants
  • Protein Structure and Dynamics
  • RNA and protein synthesis mechanisms
  • CRISPR and Genetic Engineering
  • Trace Elements in Health
  • Computational Drug Discovery Methods
  • Anaerobic Digestion and Biogas Production
  • Algal biology and biofuel production
  • Metabolomics and Mass Spectrometry Studies

University of Toronto
2016-2025

Institute of Biomedical Science
2024

Applied Science Private University
2023

Institute for Educational Leadership
2020

Krembil Research Institute
2020

Toronto Western Hospital
2020

Toronto Public Health
2015

In-Q-Tel
2015

University of Massachusetts Amherst
2008

Genomatica (United States)
2003-2007

In this report, a genome-scale reconstruction of Bacillus subtilis metabolism and its iterative development based on the combination genomic, biochemical, physiological information high-throughput phenotyping experiments is presented. The initial was converted into an in silico model expanded four-step fashion. First, network gap analysis used to identify 48 missing reactions that are needed for growth but were not found genome annotation. Second, computed rates under aerobic conditions...

10.1074/jbc.m703759200 article EN cc-by Journal of Biological Chemistry 2007-06-16

ABSTRACT Geobacter sulfurreducens is a well-studied representative of the Geobacteraceae , which play critical role in organic matter oxidation coupled to Fe(III) reduction, bioremediation groundwater contaminated with organics or metals, and electricity production from waste matter. In order investigate G. central metabolism electron transport, metabolic model integrated genome-based predictions available genetic physiological data was developed via constraint-based modeling approach....

10.1128/aem.72.2.1558-1568.2006 article EN Applied and Environmental Microbiology 2006-02-01

Abstract Background Softwood is the predominant form of land plant biomass in Northern hemisphere, and among most recalcitrant resources to bioprocess technologies. The white rot fungus, Phanerochaete carnosa , has been isolated almost exclusively from softwoods, while other known white-rot species, including chrysosporium were mainly hardwoods. Accordingly, it anticipated that P. encodes a distinct set enzymes proteins promote softwood decomposition. To elucidate genetic basis bioconversion...

10.1186/1471-2164-13-444 article EN cc-by BMC Genomics 2012-09-02

L-tyrosine is a common precursor for wide range of valuable secondary metabolites, including benzylisoquinoline alkaloids (BIAs) and many polyketides. An industrially tractable yeast strain optimized production could serve as platform the development BIA polyketide cell factories. This study applied targeted metabolomics approach to evaluate metabolic engineering strategies increase availability intracellular in Saccharomyces cerevisiae CEN.PK. Our combined localized pathway with global...

10.1186/s12934-015-0252-2 article EN cc-by Microbial Cell Factories 2015-05-28

We demonstrate the first enzymatic hydrogenation of 2-hexenedioic acid and muconic to adipic using enoate reductases (ERs).

10.1039/c6sc02842j article EN cc-by-nc Chemical Science 2016-10-11

Adipic acid is an important industrial chemical used in the synthesis of nylon-6,6. The commercial adipic uses petroleum-derived benzene and releases significant quantities greenhouse gases. Biocatalytic production from renewable feedstocks could potentially reduce environmental damage eliminate need for fossil fuel precursors. Recently, we have demonstrated first enzymatic hydrogenation muconic to using microbial enoate reductases (ERs) - complex iron-sulfur flavin containing enzymes. In...

10.1016/j.meteno.2018.02.001 article EN cc-by-nc-nd Metabolic Engineering Communications 2018-02-03

Abstract The sulfonamides (sulfas) are the oldest class of antibacterial drugs and inhibit bacterial dihydropteroate synthase (DHPS, encoded by folP ), through chemical mimicry its co-substrate p -aminobenzoic acid ( ABA). Resistance to sulfa is mediated either mutations in or acquisition sul genes, which code for sulfa-insensitive, divergent DHPS enzymes. While molecular basis resistance well understood, mechanisms mediating -based have not been investigated detail. Here, we determine...

10.1038/s41467-023-39778-7 article EN cc-by Nature Communications 2023-07-07

A dynamic flux balance model based on a genome-scale metabolic network reconstruction is developed for in silico analysis of Saccharomyces cerevisiae metabolism and ethanol production fed-batch culture. Metabolic engineering strategies previously identified their enhanced steady-state biomass and/or yields are evaluated performance glucose glucose/xylose media. Dynamic shown to provide single quantitative measure productivity that explicitly handles the possible tradeoff between yields....

10.1002/bit.21332 article EN Biotechnology and Bioengineering 2007-01-22

Abstract An alternative consolidated bioprocessing approach is the use of a co‐culture containing cellulolytic and solventogenic clostridia. It has been demonstrated that rate cellulose utilization in Clostridium acetobutylicum cellulolyticum improved compared to mono‐culture C. , suggesting presence syntrophy between these two species. However, metabolic interactions are not well understood. To understand co‐culture, we developed genome‐scale model comprising 431 genes, 621 reactions, 603...

10.1002/biot.201000159 article EN Biotechnology Journal 2010-07-01

Summary The increasing availability of the genome sequences microorganisms involved in important bioremediation processes makes it feasible to consider developing genome‐scale models that can aid predicting likely outcome potential subsurface strategies. Previous studies situ uranium‐contaminated groundwater have demonstrated Geobacter species are often dominant members community during active and primary organisms catalysing U(VI) reduction. Therefore, a genome‐scale, constraint‐based model...

10.1111/j.1751-7915.2009.00087.x article EN other-oa Microbial Biotechnology 2009-02-18
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