Research Laboratory of Ruben Cloete

Contact Details

 

RESEARCH PROJECTS

My primary research interests focus on understanding drug resistance in Mycobacterium tuberculosis and Human Immunodeficiency Virus (HIV-1) integrase protein and the identification of causal variants in Parkinson’s disease development. Tuberculosis and HIV-1 drug resistance is a huge problem in South Africa and calls for the identification of newer drugs to curb the spread of these diseases.

The use of computational methods to speed up the process of drug discovery can reduce the cost and time spent pursuing drugs that later fail in clinical trials.

We have developed computational pipelines within my laboratory to interrogate drug targets to screen for drugs that inhibit enzyme targets that can be purchased and tested in vitro for activity against Mycobacterium tuberculosis. We also use computational methods to validate mutations and their effects on protein structure and function. This is also very useful to determine if a drug remains within an enzyme active pocket and if the mutation results in reduced binding or no binding. 

The result of this research may provide improved treatment regimens for South African populations to combat infectious disease and non-communicable diseases like Parkinson’s. Recently, my group also embarked on identifying novel drugs to treat SARS-CoV-2 coronavirus infections using computational methods. Other collaborative projects involve studying drug transporter proteins associated with Diabetes Mellitus and investigating structural differences between human Coronavirus envelope proteins to understand pathogenicity between virulent and non-virulent strains.

RESEARCH PROJECT THEMES

ThemeProject
Pathogen resistance
  • NGS sequencing of Tuberculosis isolates and HIV plasma samples allowed the identification of novel mutations.
    To identify mutations associated with drug resistance we develop structural computational pipelines to further our understanding of HIV-1 and tuberculosis drug resistance.
  • To identify drug resistance pathways in HIV-1 using Phylogenetics.
Drug discovery
  • Previous pathway mapping and gene prioritisation methods allowed us to identify known and novel Mycobacterium tuberculosis drug targets. Here we exploit the drug targets using virtual screening methods to identify novel drugs to treat drug resistant tuberculosis. The drugs identified are tested for activity against Mycobacterium tuberculosis using a bioluminescent reporter assay system. In silico discovery of compounds with activity against the novel SARS-coronavirus and in vitro testing.
Human disease genomics
  • Whole genome sequencing identified variants that co- segregate within South African families with Parkinson’s disease. Here we use various software tools to prioritise these variants to identify causal variants that might be associated with Parkinson’s disease.
Machine learning approaches
  • Using machine learning methods to identify putative compounds with activity against Mycobacterium tuberculosis and HIV.
Diagnostic tool development
  • Develop structural methods to aid in the identification of biomarkers useful for Tuberculosis and Ebola virus diagnosis.

RESEARCH COLLABORATIONS

1. Novel drug discovery against Mycobacterium tuberculosis and SARS-Cov-2 coronavirus

Collaborating Parties:

Prof Samuel Egieyeh – School of Pharmacy, UWC
Prof Samantha Samson and Dr Melanie Grobbelaar – University of Stellenbosch

Prof Andrej Sali – University of California San Francisco, USA

Prof John Irwin – University of California San Francisco, USA

Prof Megan Shaw – Medical Biosciences, UWC

Dr Bianca Gordon – Medical Biosciences, UWC

Nature and purpose:

To identify drugs with a new mode of action against Mycobacterium tuberculosis protein

Target proteins essential for transcription and translation in SARS-CoV-2 coronavirus.

Output in the last 12 months:

Akinnuwesi A, Cloete R and Egieyeh SA, State-of-the-art Strategies to Prioritise Mycobacterium tuberculosis Drug Targets for Drug Discovery using a Subtractive Genomics Approach. Frontiers in Drug Discovery, 3, p.1254656. (2023).

Future Direction:

Draft two manuscripts one targeting Mycobacterium tuberculosis drug target Rv2196 and a

follow up article on Rv2421c to identify novel drug molecules to treat Tuberculosis

infections.

2. Structural impact of resistance associated mutations in the South African HIV-1C integrase protein

Collaborating Parties:

The late Dr Graeme Jacobs – University of Stellenbosch (deceased)

Nature and purpose:

Firstly, to understand genetic diversity in HIV-1 subtype C integrase gene in South African HIV-1 infected patients and recombinant subtype AG in Cameroonian patients. Secondly, to determine if second-line integrase inhibitors will be a viable option for South African and Cameroonian patients infected with HIV-1.

Output in the last 12 months:

None

Future Direction:

One manuscript submitted and under review focusing on the development of an automated pipeline to investigate the effects of mutations on HIV-1C and HIV-1 AG recombinant Integrase structure.

3. Prioritising mutations identified in South African Parkinson’s disease patients using structural methods

Collaborating Parties:

Prof Soraya Bardien – University of Stellenbosch

Nature and purpose:

To identify novel genes associated with Parkinson’s disease development using Whole

Exome sequencing and using structural computational methods to understand the impact of

mutations on protein structure and function.

Output in the last 12 months:

Cuttler K, de Swardt D, Engelbrecht L, et al. Neurexin 2 p.G849D variant, implicated in Parkinson’s disease, increases reactive oxygen species, and reduces cell viability and mitochondrial membrane potential in SH-SY5Y cells. J Neural Transm 129, 1435-1446 (2022). https://doi.org/10.1007/s00702-022-02548-8

Future Direction:

Two manuscripts under preparation for publication following up on neurexin and neuroligin

interaction associated with PD and another on a novel gene candidate identified in a South

African family with PD using exome sequencing.

4. Haplotype variation within South African Xhosa population and its effect on diabetic treatment

Collaborating Parties:

Prof Mongi Benjeddou – Biotechnology Department, UWC

Nature and purpose:

Understand the effect of haplotype variation on SLCAA2 transporter protein and the binding of diabetic drugs to SLCAA2 within a South African Xhosa population.

Output in the last 12 months:

None

Future Direction:

None to report.

5. Structural studies of more and less virulent coronavirus envelope proteins to understand human host interaction and severity of disease

Collaborating Parties:

Prof Burtram Fielding – Department of Medical Biosciences, UWC

Nature and purpose:

Perform topology predictions, structural modelling as well as simulation studies to understand the structural differences between four coronavirus envelope proteins and their interaction with the human host PALS1 protein.

Output in the last 12 months:

None

Future Direction:

Manuscript in preparation.

6. The identification and characterisation of DNA aptamers for application in diagnosis of infectious diseases

Collaborating Parties:

Prof Mervin Meyer – Biotechnology Department, UWC

Nature and purpose:

The aim of the research is to develop multiplex lateral flow devices (LFDs) for the detection of serum human biomarker proteins for TB and Ebola diagnosis using DNA aptamers.

Output in the last 12 months:

Martin DR, Mutombwera AT, Madiehe AM, Onani MO, Meyer M and Cloete R, 2024. Molecular modelling and simulation studies of SELEX-derived high-affinity DNA aptamers to the Ebola virus nucleoprotein. Journal of Biomolecular Structure and Dynamics, pp.1-18.

Future Direction:

To build an mysql database containing 3D structures of DNA aptamers for diagnostic purposes.

7. Ebola virus 3D database (EBOV-3D): Understanding the Ebola virus proteome and evaluating possible drug targets

Collaborating Parties: 

Dr Arun Pandurangan – Department of Medicine, University of Cambridge

Prof Placide Mbala- Kingebeni – National Institute of Biomedical Research, Democratic Republic of the Congo, University of Kinshasa

Prof/Sir Tom Blundell – Department of Medicine, University of Cambridge

Dr Hocine Bendou – Division of Computational Biology, University of Cape Town

Dr Adetayo Emmanuel Obasa – Faculty of Medicine and Health Sciences, University of Stellenbosch

Nature and purpose:

The aim of this project is to provide a user-friendly and easily accessible 3D webserver, so that end-users can navigate, inspect and download the 3D structural proteome data, visualise modelled oligomeric complexes, analyse pockets of modelled structures, and investigate Ebola virus human-protein interactions, mutations and protein–ligand docking interfaces. 

Output in the last 12 months:

None

Future Direction:

Build the postgre SQL backend of the database as well as the front end and prepare a manuscript.