Dr Bodhayan Prasad

  • Bioinformatician (School of Cancer Sciences)

email: Bodhayan.Prasad@glasgow.ac.uk
pronouns: He/him/his

Helgason Lab, Wolfson Wohl Cancer Research Centre, Bearsden, Glasgow, Scotland, G61 1QH

Import to contacts

ORCID iDhttps://orcid.org/0000-0002-7383-2460

Biography

I'm a post-doctoral bioinformatician at the Wolfson Wohl Cancer Research Centre. I study metabolic pathways that are unique to Leukaemia, using different kinds of datasets, including single-cell levels.

During my doctorate, I focused on personalized medicine for various diseases like rheumatoid arthritis, diabetes, CVD, cancer, and mental health. I also researched stratified healthcare, particularly for patients with multiple diseases.

In addition to my computational work, I'm passionate about teaching. I've assisted my PhD supervisor in lectures and earned an Associate Fellowship at Higher Education (AFHEA) status.

Publications

List by: Type | Date

Jump to: 2023 | 2022
Number of items: 6.

2023

Rattigan, K. M. et al. (2023) Arginine dependency is a therapeutically exploitable vulnerability in chronic myeloid leukaemic stem cells. EMBO Reports, 24, e56279. (doi: 10.15252/embr.202256279) (PMID:37489735) (PMCID:PMC10561355)

Prasad, B. , John, A. and Shukla, P. (2023) muSignAl: An algorithm to search for multiple omic signatures with similar predictive performance. Proteomics, 23(2), 2200252. (doi: 10.1002/pmic.202200252) (PMID:36076312)

2022

Prasad, B. , Bjourson, A. J. and Shukla, P. (2022) Data-driven patient stratification of UK Biobank cohort suggests five endotypes of multimorbidity. Briefings in Bioinformatics, 23(6), bbac410. (doi: 10.1093/bib/bbac410) (PMID:36209412)

Prasad, B. et al. (2022) ATRPred: A machine learning based tool for clinical decision making of anti-TNF treatment in rheumatoid arthritis patients. PLoS Computational Biology, 18(7), e1010204. (doi: 10.1371/journal.pcbi.1010204) (PMID:35788746) (PMCID:PMC9321399)

English, A. R., Prasad, B. , McGuigan, D. H., Horigan, G., O’Kane, M., Bjourson, A. J., Shukla, P., Kelly, C. and McClean, P. L. (2022) Simvastatin is associated with superior lipid and glycaemic control to atorvastatin and reduced levels of incident Type 2 diabetes, in men and women, in the UK Biobank. Endocrinology, Diabetes and Metabolism, 5(3), e00326. (doi: 10.1002/edm2.326) (PMID:35243827) (PMCID:PMC9094470)

Shukla, P. et al. (2022) Immuno-informatics analysis predicts B and T cell consensus epitopes for designing peptide vaccine against SARS-CoV-2 with 99.82% global population coverage. Briefings in Bioinformatics, 23(1), bbab496. (doi: 10.1093/bib/bbab496) (PMID:34962259) (PMCID:PMC8769887)

This list was generated on Sun Dec 3 22:49:34 2023 GMT.
Jump to: Articles
Number of items: 6.

Articles

Rattigan, K. M. et al. (2023) Arginine dependency is a therapeutically exploitable vulnerability in chronic myeloid leukaemic stem cells. EMBO Reports, 24, e56279. (doi: 10.15252/embr.202256279) (PMID:37489735) (PMCID:PMC10561355)

Prasad, B. , John, A. and Shukla, P. (2023) muSignAl: An algorithm to search for multiple omic signatures with similar predictive performance. Proteomics, 23(2), 2200252. (doi: 10.1002/pmic.202200252) (PMID:36076312)

Prasad, B. , Bjourson, A. J. and Shukla, P. (2022) Data-driven patient stratification of UK Biobank cohort suggests five endotypes of multimorbidity. Briefings in Bioinformatics, 23(6), bbac410. (doi: 10.1093/bib/bbac410) (PMID:36209412)

Prasad, B. et al. (2022) ATRPred: A machine learning based tool for clinical decision making of anti-TNF treatment in rheumatoid arthritis patients. PLoS Computational Biology, 18(7), e1010204. (doi: 10.1371/journal.pcbi.1010204) (PMID:35788746) (PMCID:PMC9321399)

English, A. R., Prasad, B. , McGuigan, D. H., Horigan, G., O’Kane, M., Bjourson, A. J., Shukla, P., Kelly, C. and McClean, P. L. (2022) Simvastatin is associated with superior lipid and glycaemic control to atorvastatin and reduced levels of incident Type 2 diabetes, in men and women, in the UK Biobank. Endocrinology, Diabetes and Metabolism, 5(3), e00326. (doi: 10.1002/edm2.326) (PMID:35243827) (PMCID:PMC9094470)

Shukla, P. et al. (2022) Immuno-informatics analysis predicts B and T cell consensus epitopes for designing peptide vaccine against SARS-CoV-2 with 99.82% global population coverage. Briefings in Bioinformatics, 23(1), bbab496. (doi: 10.1093/bib/bbab496) (PMID:34962259) (PMCID:PMC8769887)

This list was generated on Sun Dec 3 22:49:34 2023 GMT.

Bodhayan Prasad