Ian Smith


1985 …2020
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Personal profile


Professor Ian Smith completed his first degree in Newcastle upon Tyne England and moved to Australia in 1984 to complete his PhD at Prince Henrys Institute Melbourne and Monash University. In 1991 Ian moved to the Baker Heart Research Institute and was Associate Director until his move to Monash University in 2004.

Ian is currently Vice-Provost (Research & Research Infrastructure) and has responsibility for the oversight and management of the universities research alliances and research infrastructure as well as developing and implementing strategies to meet future university infrastructure needs in these areas.

Ian is an accomplished medical researcher and is recognized as a leader in his field. His research applies proteomics technologies to study the proteases involved in the generation and metabolism of peptide regulators involved in both brain and cardiovascular function This research has resulted in over 250 publications and many patents. Ian receives regular invitations to speak at international meetings, many as a plenary speaker. His research has had a direct impact on human health and has led to changes in clinical practice. Ian was a co-founder of a proteomics-based, publicly listed, biotechnology company and he continues to collaborate and consult widely with the pharmaceutical and biotechnology industry. Ian serves on six international editorial boards and over the years he has held office-bearing positions in a number of national and international societies and has had an active involvement in the organisation of numerous national and international scientific meetings. Finally, he has held and continues to hold, a variety of national and international senior government and non- government advisory board/committee memberships. 

Research area keywords

  • ECE
  • Vascular Peptides
  • Vascular Tone
  • Protease Inhibitors
  • Endothelin
  • Angiotensin
  • ACE
  • Proteomics
  • Proteases
  • Peptides
  • Mass Spectrometry

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2002 2020

Research Output 1985 2019

A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction

Mei, S., Li, F., Leier, A., Marquez-Lago, T. T., Giam, K., Croft, N. P., Akutsu, T., Smith, A. I., Li, J., Rossjohn, J., Purcell, A. W. & Song, J., 14 Jun 2019, (Accepted/In press) In : Briefings in Bioinformatics. 17 p., bbz051.

Research output: Contribution to journalReview ArticleResearchpeer-review

DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites

Li, P., Chen, J., Leier, A., Marquez-Lago, T., Liu, Q., Wang, Y., Revote, J., Smith, A. I., Akutsu, T., Webb, G. I., Kurgan, L. & Song, J., 30 Sep 2019, (Accepted/In press) In : Bioinformatics. 9 p., btz721.

Research output: Contribution to journalArticleResearchpeer-review

iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data

Chen, Z., Zhao, P., Li, F., Marquez-Lago, T. T., Leier, A., Revote, J., Zhu, Y., Powell, D. R., Akutsu, T., Webb, G. I., Chou, K-C., Smith, A. I., Daly, R. J., Li, J. & Song, J., 24 Apr 2019, (Accepted/In press) In : Briefings in Bioinformatics. 11 p., bbz041.

Research output: Contribution to journalArticleResearchpeer-review

PeNGaRoo, a combined gradient boosting and ensemble learning framework for predicting non-classical secreted proteins

Zhang, Y., Yu, S., Xie, R., Li, J., Leier, A., Marquez-Lago, T. T., Akutsu, T., Smith, A. I., Ge, Z., Wang, J., Lithgow, T. & Song, J., 8 Aug 2019, (Accepted/In press) In : Bioinformatics. 8 p., btz629.

Research output: Contribution to journalArticleResearchpeer-review

Powering Amyloid Beta Degrading Enzymes: A Possible Therapy for Alzheimer’s Disease

Sikanyika, N. L., Parkington, H. C., Smith, A. I. & Kuruppu, S., 15 Jun 2019, In : Neurochemical Research. 44, 6, p. 1289-1296 8 p.

Research output: Contribution to journalArticleResearchpeer-review