Sherlyn Jemimah
American University of Sharjah, Khalifa University College of Engineering, Indian Institute of Technology Madras, Karunya University, National University of Singapore
Research areas: Biochemistry, Genetics and Molecular Biology · Molecular Biology · Protein Structure and Dynamics · Dementia and Cognitive Impairment Research · Machine Learning in Bioinformatics
0000-0003-1974-5064
About
Senior Bioinformatics Scientist with 3+ years of postdoctoral experience across cancer, neurodegeneration, and protein interactions and structures. I focus on transforming real-world, high‑dimensional -omics and clinical data into translational insights, using AI/ML models, reproducible pipelines, and large‑scale multiomics.
My track record includes 19 peer‑reviewed publications, including papers in Bioinformatics, Proteins, and Scientific Reports, with an H‑index of 12 and 760+ citations. My average first-author FCR [Dimensions.ai] is 6.0+. My systematic review and meta-analysis of the gut microbiome in Alzheimer's (2023) has attained FWCI 6.0+ [Dimensions.ai FCR 23x global citation average]. I've also co-authored a SEIQR model for COVID-19 cited by NSW Health in an Evidence Digest (2021).
Employment
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American University of Sharjah Postdoctoral Research Associate2024 - 2025
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Khalifa University College of Engineering Postdoctoral Fellow2021 - 2023
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National University of Singapore Research Fellow2020 - 2021
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Indian Institute of Technology Madras Research Scholar2015 - 2020
Education
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Indian Institute of Technology Madras Ph.D. Computational Biology2015 - 2020
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Karunya University M.Tech. Bioinformatics2012 - 2014
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Birla Institute of Technology and Science Pilani Dubai Campus B.E. (Hons.) Biotechnology2008 - 2012
Projects & Funding
Projects & funding information is unavailable.
Publications (31)
- Biomaterial-associated molecular patterns (BAMPs) modulate macrophage polarization in bone grafting Save
- Differential analysis of microbial profiles in colorectal cancer reveals modulations corresponding to immune subtypes Save
- Prognostic implications of microbiome-immune interactions in colorectal cancer Save
- Incorporating time as a third dimension in transcriptomic analysis using machine learning and explainable AI Save
- c-Triadem: A constrained, explainable deep learning model to identify novel biomarkers in Alzheimer’s disease Save
- Binding affinity changes upon mutation in protein-protein complexes Save
- Correction to: Predicting early Alzheimer’s with blood biomarkers and clinical features (Scientific Reports, (2024), 14, 1, (6039), 10.1038/s41598-024-56489-1) Save
- DeepPPAPredMut: deep ensemble method for predicting the binding affinity change in protein–protein complexes upon mutation Save
- Predicting early Alzheimer’s with blood biomarkers and clinical features Save
- c-Triadem: A constrained, explainable deep learning model to identify novel biomarkers in Alzheimer’s disease Save
- Gut microbiome dysbiosis in Alzheimer’s disease and mild cognitive impairment: A systematic review and meta-analysis Save
- c-Diadem: a constrained dual-input deep learning model to identify novel biomarkers in Alzheimer’s disease Save
- PLK1 inhibition selectively induces apoptosis in ARID1A deficient cells through uncoupling of oxygen consumption from ATP production. Save
- SWAAT Bioinformatics Workflow for Protein Structure-Based Annotation of ADME Gene Variants. Save
- Correction: PLK1 inhibition selectively induces apoptosis in ARID1A deficient cells through uncoupling of oxygen consumption from ATP production (Oncogene, (2022), 41, 13, (1986-2002), 10.1038/s41388-022-02219-8) Save
- CurvMRI: A Curvelet Transform-Based MRI Approach for Alzheimer's Disease Detection Save
- Identification of an effective chemotherapy and DNA damage response inhibitor combination for diffuse large b cell lymphoma Save
- A novel hybrid SEIQR model incorporating the effect of quarantine and lockdown regulations for COVID-19. Save
- Exploring Common Therapeutic Targets for Neurodegenerative Disorders Using Transcriptome Study. Save
- Why are ACE2 binding coronavirus strains SARS-CoV/SARS-CoV-2 wild and NL63 mild? Save