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Prof. Ricardo Mancera

Professor
Diagnostic and Therapeutic Sciences

Biomolecular Modelling Group

Professor Ricardo Mancera leads the Biomolecular Modelling Group in the Curtin Medical School and serves as Program Lead for Biomolecular Structure and Interactions at the Curtin Medical Research Institute. His research focuses on understanding the molecular basis of biological processes and disease through computational modelling and biophysical chemistry, with applications in drug discovery and design. Professor Mancera holds a background in biological and pharmaceutical chemistry and earned his PhD in Theoretical Chemistry from the University of Cambridge, where he later worked as a research fellow in computational drug discovery. During this time, he became a founding scientist of the biotechnology spin-off De Novo Pharmaceuticals.    


About

Professor Mancera’s research applies computational biophysics, molecular modelling, and structural bioinformatics to address key questions in biophysical, biomedical, and pharmaceutical science. His work explores the structure, dynamics, and interactions of biomolecules, aiming to understand and predict biological behaviour at the molecular level.

His research areas include protein folding, denaturation, and aggregation, biological membrane structure and dynamics, mechanisms of solvent cryoprotection, and ligand–protein and protein–protein interactions. He also specialises in structure- and ligand-based drug design, examining the roles of protein flexibility, solvation, and molecular recognition in therapeutic development. Additional interests include biopolymeric materials for drug delivery and the study of hydrophobic and hydrophilic interactions in biological systems.

Complementing his computational work, Professor Mancera also conducts experimental biophysical and biochemical studies of membrane and protein structure and interactions, employing advanced techniques such as small-angle X-ray and neutron scattering (SAXS/WAXS/SANS), surface plasmon resonance (SPR), and mass spectrometry.

 

Research Focus

The Biomolecular Modelling Group, led by Professor Ricardo Mancera, applies molecular dynamics simulations and other computational biophysical approaches to investigate the structure, dynamics, and interactions of complex biomolecules, including cell membranes, proteins, and nucleic acids.

Current research explores several key areas:

The group also studies protein modelling, ligand–protein and protein–protein interactions relevant to drug discovery and biotechnological innovation. Complementing these computational studies, Professor Mancera’s team employs biochemical, bioanalytical, and biophysical techniques to further investigate molecular processes in cryobiology and related disciplines.

 

Research Team

Cara Krek

Sessional Academic

Kiara Kidman

PhD Student

Claudio Pedrick

PhD Student

Lara Frcej

PhD Student

Jacob McGregor

PhD Student

Publications

ABSTRACT

Hyperuricemia is characterised by high blood levels of uric acid, and it can degenerate into gout when monosodium urate crystals precipitate in joints and other tissues. Uric acid is produced during the catabolism of xanthine by the enzyme xanthine oxidase (XO), which is the primary therapeutic target in gout treatment. Current XO inhibitors approved to treat gout, such as allopurinol and febuxostat, suffer from serious adverse effects, creating the need for new drug molecules. Three libraries comprising 75 purine analogues were designed using a 1,2,4-triazolo[1,5-a]pyrimidine scaffold, synthesised and tested in vitro as potential XO inhibitors. The screening identified that 23 compounds exhibited better inhibitory activity than allopurinol, with 2-(4-isopropoxyphenyl)-7-oxo-4,7-dihydro-1,2,4-triazolo[1,5-a]pyrimidine-6-carboxylic acid being 23 times more potent. Enzyme kinetics studies and molecular docking simulations were performed on the most active compounds to identify the mechanism of action and intermolecular interactions between the active site of XO and the inhibitors. The most potent compounds exhibited a mix-type inhibition mechanism and were predicted to interact with the same amino acid residues as allopurinol. These novel purine analogues are promising hits for further new lead development among purine-like drug XO inhibitors with therapeutic potential in the treatment of hyperuricemia and associated diseases.


Luna, G., A. V. Dolzhenko, and R. L. Mancera. 2025. Synthesis and Structure-Activity Relationship Analysis of 2-Substituted-1,2,4-Triazolo[1,5-a]Pyrimidin-7-Ones and their 6-Carboxylate Derivatives as Xanthine Oxidase Inhibitors.Chemmedchem 20 (1)
ABSTRACT

Disrupted clearance of amyloid beta (Aβ) from the brain enhances its aggregation and formation of amyloid plaques in Alzheimer’s disease. The most abundant protein constituent of circulating high-density lipoprotein (HDL) particles, apoA-I, readily crosses the blood–brain barrier from periphery circulation, exhibits low-micromolar binding affinity for soluble, neurotoxic forms of Aβ, and modulates Aβ aggregation and toxicity in vitro. Its highly conserved N-terminal sequence, 42LNLKLLD48 (‘LN’), has been proposed as a binding region for Aβ. However, high-resolution structural characterisation of the mechanism of HDL–Aβ interaction is very difficult to attain. Molecular dynamics simulations were conducted to investigate for the first time the interaction of Aβ and the ‘LN’ segment of apoA-I. Favourable binding of Aβ by HDLs was found to be driven by hydrophobic and hydrogen-bonding interactions predominantly between the ‘LN’ segment of apoA-I and Aβ. Preferential binding of Aβ may proceed in small, protein-rich HDLs whereby solvent-exposed hydrophobic ‘LN’ segments of apoA-I interact specifically with Aβ, stabilising it on the HDL surface in a possibly non-amyloidogenic conformation, facilitating effective Aβ clearance. These findings rationalise the potentially therapeutic role of HDLs in reducing Aβ aggregation and toxicity, and of peptide mimics of the apoA-I interacting region in blocking Aβ aggregation.

Malajczuk, C. J., and R. L. Mancera. 2025. Molecular Simulation of the Binding of Amyloid Beta to Apolipoprotein A-I in High-Density Lipoproteins.International Journal of Molecular Sciences 26 (3)

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