Skip to content
#protein folding Open access

Studies of vacuolar iron transporter homologue from Plasmodium falciparum in a yeast model system

Oct 2026 · Research Portal (Queen's University Belfast)
Bacterial Genetics and Biotechnology

Abstract

Malaria is a serious and often a fatal disease in humans, caused by a parasite commonly transmitted by the female Anopheles mosquito. Plasmodium falciparum is by far the deadliest of all malaria parasites. According to the most current World Malaria Report, there were 247 million cases of malaria in 2021, up from 245 million in 2020. With the lack of a roll-out malarial vaccination programme and emerging resistance against the drugs commonly used to control infection, there is a pressing need to gain a deeper understanding of the biochemistry and physiology of the malaria parasite. Plasmodium falciparum pathogenicity derives in part from an ability to influence the physiology of its human host during developmental stages, specifically within human blood. Plasmodium falciparum feeds on haemoglobin, develops and divides within erythrocytes, including modifying host cells so they can attach to blood vessel walls. This knowledge can be exploited to develop effective strategies for controlling the disease. One specific area that necessitates further investigation is the role and mechanism of Plasmodium membrane transporter proteins. The malaria parasite undergoes a complex life cycle during which it must regulate the uptake and efflux of nutrients, ions, and other metabolites across its membrane systems. Iron metabolism is the key to the survival of plasmodial cells, especially during the intraerythrocytic stage. Iron is an essential cofactor in several vital enzymatic reactions in critical cellular processes such as energy production, respiration, and DNA synthesis. Intracellular levels of labile divalent iron need to be tightly regulated by the parasite to ensure an adequate iron supply for all essential biological processes while managing the excess iron before it becomes toxic due to generating oxygen-derived radicals and other damaging species via the Fenton reaction. Integral membrane proteins responsible for ferrous iron transport via various membranes play a crucial role in iron homeostasis. One group of these proteins are members of the poorly understood Vacuolar Iron Transporter (VIT) family that have been characterised in the plant called VIT1 and in yeast called CCC1, Ca2+ sensitive cross-complementer 1. These proteins are generally responsible for importing excess iron into the vacuole to protect from cellular toxicity and storing it during iron deficiency. Slavic et al. (2016) conducted an in vivo study that presents compelling evidence suggesting that interfering with Plasmodium falciparum PfVIT (Plasmodium falciparum Vacuolar Iron Transporter) function could be a promising approach for treating malaria infection. This thesis presents an extensive molecular investigation of PfVIT, building upon prior research, to unravel its intricate structure and function. The study thoroughly explores its molecular features, structure-function relationships, and computational insights. A meticulous and accurate molecular model of PfVIT's structure has been successfully generated, laying the foundation for deeper analyses. The first expression of PfVIT in Saccharomyces cerevisiae using a heterologous overexpression framework was a big step forward because it helped proteins fold correctly. This innovative approach provides unprecedented opportunities to scrutinize PfVIT's functionality and distinctive metal ion recognition capabilities. Notably, molecular dynamics simulations have formulated a dynamic model of PfVIT's translocation activity, enhancing our grasp of its behaviour. Intriguingly, the overexpression of PfVIT in Saccharomyces cerevisiae serves as a gateway to unearthing crucial insights into its functional attributes and the underlying mechanisms of metal ion recognition. Mutagenesis studies have shown that specific residues, like the methionine at position 161, are essential for the transporter activity of PfVIT. Significantly, an exploration into the conserved residue D54 has highlighted its involvement in nickel transport. These findings have profound implications for comprehending VIT proteins and their therapeutic potential for combating malaria. Experimental evidence underscores the indispensable nature of PfVIT's MBD for effective cation transport, as any disruption to this domain results in functional impairment. This invaluable insight positions the research outcomes as a springboard for fellow researchers, guiding the development of targeted inhibitors against PfVIT, thus advancing malaria treatment strategies.

View source

Similar papers

#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Book Open access Jul 2015

Understanding the affect of developers: theoretical background and guidelines for psychoempirical software engineering

This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.

D. Graziotin, Xiaofeng Wang, P. Abrahamsson · 56 citations · ⚡4
#machine learning Open access May 2017

What Influences the Speed of Prototyping? An Empirical Investigation of Twenty Software Startups

This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.

Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson · 44 citations · ⚡5
#protein folding Open access Sep 2026

Programmable design of functional proteins from natural language

Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...

Fengyuan Dai, Shiyang You, Yudian Zhu et al. · 31 citations · ⚡3

Related blog posts

Google DeepMind Blog Sep 30, 2026

Introducing SynthID Bio

Proof of concept for watermarking AI-generated proteins while preserving biological function.

MIT News · Artificial Intelligence Aug 27, 2026

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.