Dr Bajuna Salehe
Areas of interest
- Development of novel computational tools for the prediction of protein structures, functions, and interactions from amino acid sequences.
- Application of computational methods for understanding the molecular mechanisms of cardiovascular function and disease.
- High performance computing for the large-scale genomic data.
- Participation in the biennial experiments for the Critical Assessment of Techniques for Protein Structure Prediction (CASP).
Machine Learning, Data Mining, Data Sciences, Protein Structure and Function Prediction, Microbial Ecology, Plant Pathology, Plant-microbe Interaction.
Research centres and groups
- Member of the Molecular & Cellular Medicine Group.
- Member of the 100K genomes England (Genomics England) project.
I am a postdoctoral researcher at the School of Biological Sciences. I am doing bioinformatics in genomics and also involved with development of computational methods for predicting protein structures. In the bioinformatics for genomics, I am involved in the collaborative project between researchers from the University of Reading, National Institute for Agriculture and Botany (NIAB), and Birmingham University to investigate the mechanism by which Pseudomonas syringae causes canker disease in cherry plants. I am developing bioinformatics pipeline, which aims to analyse large genomic data samples associated with canker cherry disease. Another project is IntFOLD, which is involved with development of bioinformatics tools to predict 3-dimensional structure of proteins and their functions from amino acid sequences. Previously, I also worked as Bioinformatician for Genomics at the University Reading with different genomics and post-genomic projects. In genomics I mainly use next generation sequencing (NGS) technique to understand microbial involvements in several aspects such agriculture (e.g biocontrol), energy, poultry and how these do have health impacts on human beings and other species. Generally, my research focuses on developing computational tools for understanding and decode biological data in the postgenomic era.
- McGuffin, L., Shuid, A. N., Kempster, R., Maghrabi, A. H.A., Nealon, J. O., Salehe, B. R., Atkins, J. D. and Roche, D. B. (2018) Accurate template-based modeling in CASP12 using the IntFOLD4-TS, ModFOLD6, and ReFOLD methods. Proteins: Structure, Function, and Bioinformatics, 86. pp. 335-344. ISSN 0887-3585 doi: https://doi.org/10.1002/prot.25360
- Salehe, B. R (2017) Predictive tools for the study of variations in ADP platelet responses: implications for personalised CVD risk and prevention strategies. University of Reading.
- Salehe, B. R., Jones, C. I., Di Fatta, G. and McGuffin, L. (2017) RAPIDSNPs: A new computational pipeline for rapidly identifying key genetic variants reveals previously unidentified SNPs that are significantly associated with individual platelet responses. PLoS ONE, 12 (4). e0175957. ISSN 1932-6203 doi: https://doi.org/10.1371/journal.pone.0175957
- McGuffin, L. J., Atkins, J. D., Salehe, B. R., Shuid, A. N. and Roche, D. B. (2015) IntFOLD: an integrated server for modelling protein structures and functions from amino acid sequences. Nucleic Acids Research, 43 (W1). W169-W173. ISSN 1362-4962 doi: https://doi.org/10.1093/nar/gkv236
- BR Salehe, LJ McGuffin, CI Jones, G Di Fatta (2014) IDENTIFICATION OF NOVEL GENES ASSOCIATED WITH PLATELET ACTIVATION SIGNALLING PATHWAYS IN HIGH DIMENSIONAL DATA USING AN ALTERNATIVE REGRESSION APPROACH. Heart, 100(4), A2-A4, BMJ Publishing Group Ltd and British Cardiovascular Society.
- McGuffin, L. ORCID: 0000-0003-4501-4767 , Edmunds, N. , Genc, A. , Alharbi, S. , Salehe, B. , Adiyaman, R. (2023) Prediction of protein structures, functions and interactions using the IntFOLD7, MultiFOLD and ModFOLDdock servers. Nucleic Acids Research ISSN: 1362-4962 | doi: https://dx.doi.org/10.1093/nar/gkad297