Resume · Research profile · Academic experience

Dr. Kannapiran Ponraj

A protein scientist whose research combines biochemistry, pharmacology, and systems biology to understand how protein interactions govern drug metabolism, genome maintenance, cellular stress responses, and therapeutic mechanisms.

5+ Years

Post Doctoral Experience

Years teaching

Research Areas

10+

Courses taught

Profile|Research Identity

I study how proteins process drugs, toxins, stress, and disease-linked molecular signals.

I am a biochemist and molecular systems researcher driven to understand how human cells process drugs, toxins, and disease. Currently, I focus on the cytochrome P450 enzyme ensemble, where I help combine fluorescent probe development, enzyme kinetics, and mathematical interpretation to explain how alcohol, genetic variation, and chemical exposures reshape metabolism in the liver.

My scientific trajectory spans HIV biology, DNA repair enzymes, membrane-integrated redox systems, and xenobiotic metabolism, reflecting a sustained interest in how proteins adapt and collaborate under stress. I have published across biochemistry, pharmacology, toxicology, and computational biology, applying tools from chemistry to machine learning to decode enzyme behavior.

Alongside research, I have nearly a decade of teaching and curriculum development experience, mentoring undergraduate and postgraduate students in bioinformatics, structural biology, protein engineering, molecular pathogenesis, and experimental molecular biology.

Thematic Scientific Contributions

Navigate through the interactive carousel below to explore the core investigative axes.

Theme 01

Xenobiotic Metabolism & Cytochrome P450 Ensemble Kinetics

Evaluating how drug clearance is modulated within complex human liver tissue under physiological stressors like chronic alcohol consumption.

Core Advancements

Demonstrated that individual Cytochrome P450 (CYP) enzymes exhibit non-additive functional properties. This discovery directly challenges conventional additive clearance models by proving that the structural and functional composition of the CYP pool undergoes complex rearrangement under ethanol stress, altering the metabolism of critical clinical substrates like ketamine and amitriptyline.

Methodological Innovations

Screening and validation of novel naphthalene-based fluorogenic substrates (MONA and MONACRA) to bypass low-throughput analytical bottlenecks. These diagnostic probes facilitate high-throughput, donor-specific phenotyping of CYP4A11 and CYP1A2 activity within complex microsomal fractions.

Synthesis and substrate saturation profiles of MONACRA indicating non-additive ensemble interactions — **Figure 1.** Substrate saturation profiles of N-demethylation of S-ketamine by HLM and their analysis by PCA (panel A). Correlations between the total maximal rate (Vmax total, panel B) and the maximal rate of the low-affinity component (Vmax3, panel C) of ketamine demethylation with the provisional index of alcohol exposure (PIAE) of liver donors.

Key Literature: Biochemical Journal (2025) • Journal of Xenobiotics (2025) • Biochemical Pharmacology (2024)

Theme 02

Structural Biology & Enzyme Moonlighting (Redox Biology)

Investigating the comparative biochemistry of cellular antioxidant pathways and Vitamin C recycling across distinct physiological biological kingdoms.

Core Advancements

Dissected the functional adaptations of Dehydroascorbate Reductases (DHAR) under oxidative conditions via comprehensive steady-state kinetics and structural mapping. A pivotal finding established that plant DHAR exhibits protein moonlighting; under environmental stress, this cytosolic redox enzyme undergoes structural transformation to integrate into cellular membranes as a functional ion channel.

**Figure 2.** Structure and active site comparison of PgDHAR with HsCLICs. Structure-guided sequence alignment is shown with CXXS[C/A] motif containing catalytic cysteine*. Electrostatic surface maps of active sites are shown with the conserved residues.

Key Literature: Archives of Biochemistry and Biophysics (2023) • Biochemical and Biophysical Research Communications (2022)

Theme 03

Computational Biology & Machine Learning Engineering

Leveraging advanced computational data architectures to automate and optimize candidate peptide identification for biomedical applications.

Core Advancements

Constructed a predictive machine learning pipeline using a Stacked Generalization Ensemble model paired with a Gradient Boosting Machine (GBM) feature-selection algorithm to improve upon traditional experimental screening limitations. This computational architecture accurately classifies and predicts quorum-sensing peptides, establishing a robust predictive framework for finding alternatives to traditional antibiotics.

Stacked Generalization Ensemble machine learning model architecture flowchart — **Figure 3.** Architecture of the Stacked Generalization Ensemble model for quorum sensing (QS) peptide prediction. The schematic illustrates the pipeline flow spanning Gradient Boosting Machine (GBM)-driven feature selection, layer-0 base classifiers (Random Forest, SVM, and XGBoost), and the layer-1 meta-classifier framework optimization curves plotting true-positive vs. false-positive execution rates (ROC-AUC).

Key Literature: Journal of Microbiology (2022)

Theme 04

DNA Topoisomerases, Cellular Repair, & Virology

Decoupling the molecular mechanisms behind cellular aging, viral replication (HIV-1), and genomic integrity during chemical or physiological stress.

Core Advancements

Decoupled the distinct physiological roles of Topoisomerase II isoforms. Demonstrated that while the α isoform accelerates replication-associated damage, the β isoform forms a functional molecular complex with Ku70 and PARP-1 to resolve non-replicative DNA double-strand breaks in post-mitotic neurons. This mechanism was later targeted for antiviral intervention by characterizing HIV-1-associated Topoisomerase IIβ kinase as a viable pharmacological target to inhibit viral replication.

Western blot panels demonstrating Topo IIβ interactions with Ku70 and PARP-1 — **Figure 4.** The expression profile of TopoIIa, TopoIIb and repair proteins during H₂O₂ mediated DNA damage and repair. (A) The SK-NSH and 1321N1 cells were incubated in the presence of indicated concentrations of peroxide for 24 h (Treatment). After 24 h the cells were washed with fresh medium and recultured in complete medium for 72 h. (B) Quantification of DNA double strand breaks by neutral comet assay: SK-N-SH and 1321N1 cells were treated with indicated concentrations of peroxide. Double strand breaks were quantified in treated (24 h) and recovered (72 h) cells using neutral comet assay (n = 3).

Key Literature: Current Pharmaceutical Design (2013) • Archives of Biochemistry and Biophysics (2011) • Archives of Biochemistry and Biophysics (2008)

Theme 05

Plant Transformation & Agrobacterium Genetics

Foundational research establishing high-efficiency genetic engineering protocols for crop tissue modification and agronomic optimization.

Core Advancements

Designed an efficient tissue culture and genetic transformation protocol for Solanum melongena (eggplant) using Agrobacterium tumefaciens strain LBA4404. This methodology successfully utilized binary vectors harboring reporter (GUS-INT) and selection markers to improve transformation efficiency and downstream stable plant regeneration.

Microscopic documentation of transformed calli selection and blue GUS expression — **Figure 5.** Stable *Agrobacterium tumefaciens*-mediated genetic transformation and organogenesis of *Solanum melongena* L. leaf explants. (A) High-frequency direct shoot bud differentiation on optimization media containing benzyladenine and thidiazuron markers. (B) Histochemical localization of blue β-glucuronidase (GUS-INT) reporter expression in transforming calli zones following co-cultivation with strain LBA4404.

Key Literature: Journal of Plant Biology (2005)

Research Statement