1985 …2020

Research output per year

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Personal profile

Biography

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

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Projects

Research Output

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

Li, F., 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., 15 Feb 2020, In : Bioinformatics. 36, 4, p. 1057-1065 9 p.

Research output: Contribution to journalArticleResearchpeer-review

5 Citations (Scopus)

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., 21 May 2020, In : Briefings in Bioinformatics. 21, 3, p. 1047-1057 11 p., bbz041.

Research output: Contribution to journalArticleResearchpeer-review

14 Citations (Scopus)

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., 1 Feb 2020, In : Bioinformatics. 36, 3, p. 704-712 9 p.

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)

PRISMOID: a comprehensive 3D structure database for post-translational modifications and mutations with functional impact

Li, F., Fan, C., Marquez-Lago, T. T., Leier, A., Revote, J., Jia, C., Zhu, Y., Smith, A. I., Webb, G. I., Liu, Q., Wei, L., Li, J. & Song, J., 21 May 2020, In : Briefings in Bioinformatics. 21, 3, p. 1069-1079 11 p.

Research output: Contribution to journalArticleResearchpeer-review

3 Citations (Scopus)

Procleave: Predicting protease-specific substrate cleavage sites by combining sequence and structural information

Li, F., Leier, A., Liu, Q., Wang, Y., Xiang, D., Akutsu, T., Webb, G. I., Smith, A. I., Marquez-Lago, T., Li, J. & Song, J., 12 May 2020, (Accepted/In press) In : Genomics Proteomics Bioinformatics. 13 p.

Research output: Contribution to journalArticleResearchpeer-review