Melbourne Medical School Collected Works - Research Publications

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Start date: 2013 × Type: Chapter ×

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Now showing 1 - 6 of 6
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    Using Graph-Based Signatures to Guide Rational Antibody Engineering.
    Ascher, DB ; Kaminskas, LM ; Myung, Y ; Pires, DEV (Springer US, 2023)
    Antibodies are essential experimental and diagnostic tools and as biotherapeutics have significantly advanced our ability to treat a range of diseases. With recent innovations in computational tools to guide protein engineering, we can now rationally design better antibodies with improved efficacy, stability, and pharmacokinetics. Here, we describe the use of the mCSM web-based in silico suite, which uses graph-based signatures to rapidly identify the structural and functional consequences of mutations, to guide rational antibody engineering to improve stability, affinity, and specificity.
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    The reflected self
    NEWMAN, L ; Boyle Spelman, M ; Thomson-Salo, F (Karnac Books, 2015)
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    Children’s views of safety and adversity when living with domestic violence
    MORRIS, A ; Humphreys, C ; Hegarty, K ; Stanley, N ; Humphreys, C (Jessica Kingsley Publishers, 2015)
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    Child Development and Disability
    Efron, D ; Marraffa, C ; Reilly, S ; REDDIHOUGH, D (Wiley Blackwell, 2015)
    Resident Medical Officers' Handbook, Lawson JS, ed. (Foreword: Sloan LEG). 100 p. Snap-lock ring binder. 2nd edition (1975–1976).Residents Handbook, Roy N, Vance J, eds. (Foreword: Sloan LEG). 203 p. Snap-lock ring binder.
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    Teleconsultation and Telediagnosis for Oral Health Assessment: An Australian Perspective
    Marino, R ; Clarke, K ; Manton, DJ ; Stranieri, A ; Collmann, R ; Kellet, H ; Borda, A ; Kumar, S (SPRINGER, 2015)
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    Mapping Biomedical Vocabularies: A Semi-Automated Term Matching Approach
    Ofoghi, B ; Lopez-Campos, GH ; Martin Sanchez, FJ ; Verspoor, K ; Mantas, J ; Househ, MS ; Hasman, A (IOS PRESS, 2014)
    Biomedical vocabularies vary in scope, and it is often necessary to utilize multiple vocabularies simultaneously in order to cover the full range of concepts relevant to a given biomedical application. However, as the number and size of these resources grow both redundancy (i.e., different vocabularies containing similar terms) and inconsistency (i.e., different terms in multiple vocabularies referring to the same entity) between the vocabularies increase. Therefore, there is a need for automatically aligning vocabularies. In this paper, we explore and propose new methods for detecting probable matches between two vocabularies. The methods build upon existing string similarity functions, enhancing these functions for the context of semi-automated vocabulary matching.