Morten Bo Johansen
I finished my master degree at DTU in
august 2005 as a graduate engineer at the Center for Biological
Sequence Analysis (CBS).
The topic of my master thesis was analysis and prediction of glycation of amino acid side chains of lysines in mammalian proteins. Glycation is a non-enzymatic process in which proteins react with reducing sugar molecules. The sugar molecules thereby impair the function and change the characteristics of the proteins. I used artificial neural networks (ANNs) to predict glycation sites in these proteins. ANNs are a computer based form of artificial intelligence.
I have also worked with enzymatic acetylation of the amino side chains of lysines in eukaryotic proteins. Acetylation is a regulatory mechanism in cells.
Currently I am using ANNs to predict if a genomic variation in the form of a non-synonymous single-nucleotide polymorphism (nsSNP) causes a disease. I am also involved in a project where the aim is to prioritize genomic variations with respect to the likelihood of being causative of a specific change in phenotypic characteristics. An example of such a phenotypic change could be increased or decreased activity of a protein.
Prediction of Disease Causing Non-Synonymous SNPs by the Artificial Neural Network Predictor NetDiseaseSNP.
Publication: Research - peer-review › Journal article – Annual report year: 2013
Publication: Research - peer-review › Book chapter – Annual report year: 2009
Publication: Research - peer-review › Journal article – Annual report year: 2006
Public Library of Science, United States
BFI (2017): BFI-level 1, Scopus rating (2015): SJR 1.395 SNIP 1.044, ISI indexed (2013): ISI indexed yes
Indexed in DOAJ
Additional searchable ISSN (Electronic): 1460-2423
Oxford University Press, United States
BFI (2017): BFI-level 1, Scopus rating (2015): SJR 1.692 SNIP 1.09, ISI indexed (2013): ISI indexed yes