Dr. Denise Wootten

Professor

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Biography

Denise Wootten completed her PhD in 2008 at the University of Birmingham in the UK before relocating to the Monash Institute of Pharmaceutical Sciences (MIPS) in 2009. She serves as an NHMRC Senior Research Fellow and heads the Metabolic Receptor Biology Laboratory within MIPS. Her research primarily focuses on G protein-coupled receptors (GPCRs), which represent the largest family of receptors in the human genome and constitute a significant class of current drug targets. Denise's laboratory studies the class B subfamily of receptors that regulate the function of key peptide hormones involved in physiological processes. Key receptors of interest include the glucagon and calcitonin receptor families, which are crucial clinical targets for metabolic diseases such as diabetes and obesity. Employing a multidisciplinary approach, her lab integrates structural and computational biology, molecular modeling, biochemistry, and cellular signal transduction to investigate drug action mechanisms, including allosteric modulation and biased agonism. Denise's work is vital to advancing drug discovery and development in GPCR research.

Research Interests

Experience

Head: Metabolic Receptor Biology Laboratory

2009-01-01 — Present

Monash Institute of Pharmaceutical Sciences • Melbourne, VIC, Australia

Leading research efforts focused on G protein-coupled receptors and drug discovery.

Requirements for Monash University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:12
Reading
Required:13
Writing
Required:21
Speaking
Required:18
Total
Required:79
Prerequisites
Bachelor degree (or equivalent) in a related field
Application Checklist
  • Academic Transcripts
  • Proof of English Proficiency
  • Curriculum Vitae
  • Copy of Passport
Specialization Notes

Requirements are standardized across the Faculty of Information Technology for most Master's programs including Computer Science and Data Science.