Doctoral Research

Ruthenium-Based Therapeutics

Combining bench-top synthesis with quantum chemistry, molecular docking, and machine learning to design the next generation of metal-based anticancer and antimycobacterial agents.

A Two-Pronged Research Strategy

My PhD research centres on ruthenium(III) and half-sandwich Ru–arene complexes bearing Schiff-base ligands. Unlike cisplatin — the gold-standard metal-based anticancer drug — ruthenium compounds can switch oxidation states inside the cell, potentially offering improved selectivity and lower toxicity.

For every compound I synthesise, I run a parallel computational study: DFT calculations reveal the electronic structure, HOMO–LUMO gaps predict reactivity, MEP maps show where the molecule wants to bind, and molecular docking places it inside a target protein to estimate affinity.

Lab results then confirm — or challenge — what the computer predicted. This dialogue between computation and experiment is the engine of my research.

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Synthesis & Characterisation

Multistep organometallic synthesis confirmed by ¹H/¹³C NMR, FT-IR, UV-Vis, single-crystal X-ray diffraction, and CHNS elemental analysis.

Computational Analysis

DFT geometry optimisation, HOMO–LUMO, MEP surface mapping (GAUSSIAN), and molecular docking studies (AutoDock, Discovery Studio) with ADME profiling.

Biological Evaluation

Anticancer, antimycobacterial, antioxidant, and DNA-binding assays conducted with partner laboratories; results integrated into SAR analyses.

Structure–Activity Relationships

Substituent effects, coordination geometry, and electronic parameters correlated with biological potency across 10+ complexes.

Specialisations

Core Research Areas

Ruthenium Chemistry

Designing Ru(III) and half-sandwich Ru(II)–arene complexes as next-generation anticancer and antimycobacterial agents with selectivity advantages over cisplatin.

Organometallic SynthesisNMR / X-ray DiffractionDNA Binding StudiesAnticancer Assays

Computational Drug Design

Applying DFT, HOMO–LUMO analysis, MEP mapping, and molecular docking to rationalise reactivity and predict binding affinities.

GAUSSIAN (DFT)AutoDock / Discovery StudioHOMO–LUMO & MEPADME Prediction

Structure–Activity Relationships

Correlating electronic structure, ligand substitution patterns, and molecular geometry with experimental biological activity to understand structure–activity relationships across a series of ruthenium complexes.

SAR AnalysisElectronic Descriptor AnalysisSubstituent Effect StudiesComputational–Experimental Correlation

Biological Evaluation

Collaborating on anticancer, antimycobacterial, antioxidant, and DNA-binding studies and integrating the experimental findings with computational analyses to support mechanistic interpretation.

MTT Anticancer AssayMIC AntimycobacterialDPPH AntioxidantDNA Binding Fluorescence
3D Structure

Piano-Stool Geometry

Half-sandwich [Ru(η⁶-p-cymene)(N,O-Schiff base)Cl]⁺ complexes adopt the distinctive piano-stool geometry: the η⁶-coordinated arene acts as the “seat”, while the bidentate Schiff base N,O donors and chloride ligand form the three “legs”.

This geometry is biologically significant — it exposes the chloride leaving group to aquation inside cells, while the arene ring controls lipophilicity and cellular uptake. Varying the Schiff-base substituents tunes HOMO–LUMO gaps, binding affinities, and ultimately anticancer potency.

Coordination number

6 (half-sandwich)

η⁶ arene

p-Cymene

Chelate ligand

N,O-Schiff base

Leaving group

Cl⁻ (aquation)

[Ru(η⁶-p-cymene)(N,O-Schiff base)Cl]⁺ · Piano-Stool Geometry

The η⁶ p-cymene arene ring (top) forms the “seat”; the Schiff-base N,O donors and chloride (bottom) form the “legs” — giving the characteristic piano-stool geometry. Based on compounds reported in ChemistrySelect (2025). Drag to rotate · scroll to zoom.

Ru (ruthenium)C (carbon)N (nitrogen)O (oxygen)Cl (chloride)η⁶ coordination
Future Research Vision

AI-Driven Discovery Methods

Python toolkit (RDKit · DeepChem), AI-driven virtual screening pipeline, and multi-agent automation for computational drug design — explored on a dedicated page.

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From Idea to Discovery

Doctoral Research Workflow

01

Molecular Design

Design Ru(III) and half-sandwich Ru(II)–arene Schiff-base complexes based on coordination chemistry principles and literature-guided ligand selection.

02

Synthesis

Multistep organometallic synthesis of Ru(III) and half-sandwich Ru(II)–arene Schiff-base complexes.

03

Characterisation

¹H/¹³C NMR · FT-IR · UV-Vis · Single-crystal X-ray (where applicable) · CHNS elemental analysis.

04

Computational Analysis

DFT geometry optimisation, HOMO–LUMO, MEP maps, and molecular docking in GAUSSIAN / AutoDock.

05

Biological Evaluation

Anticancer, antimycobacterial, antioxidant assays; DNA binding kinetics via fluorescence.

06

Structure–Activity Interpretation

SAR analysis correlates substituent effects with potency to guide the next synthetic cycle.