0000-0002-9685-7388 About
Anam Beg worked at the Department of Computer Science, Jamia Millia Islamia and completed her PhD in computational Biology. Anam was previously working in Center for interdisciplinary research in basic sciences Jamia Millia Islamia does research in Structural Biology, Cancer Research and Bioinformatics. Her most cited publication is 'High throughput screening, docking and molecular dynamics studies to identify potential inhibitors of human calcium/calmodulin-dependent protein kinase IV'. she is currently working on ovarian cancer and drug design.
Employment
Employment history is unavailable.
Education
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Jamia Millia Islamia PhD2018 - 2024
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Jamia Millia Islamia Mphil2016 - 2018
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Jamia Millia Islamia Msc Bioinformatics2011 - 2013
Projects & Funding
Projects & funding information is unavailable.
Publications (14)
- Uncovering Prognostic Biomarkers Underlying Hepatocellular Carcinoma Through Integrative Multi-Omics and a Network-Based Approach Save
- Harnessing Deep Learning for Histopathological Subtyping of Ovarian Cancer: The Role of NOTCH3 Save
- Unraveling the roles of BMS1, ZNF749 and miR-6726-5p in MODS progression via integrated multiomics and ML-based approach Save
- Deep learning approaches for interpreting Non-coding regions in Ovarian cancer Save
- Unlocking the potential of deep learning for oncological sequence analysis: A review Save
- Investigating mechanistic insights of curcumin in blocking the Interleukin-8 signaling pathway associated with Breast Cancer: An in-silico approach Save
- Unravelling driver genes as potential therapeutic targets in ovarian cancer via integrated bioinformatics approach Save
- Implications of COVID-19 Pandemic on Ovarian Cancer Mortality Save
- Identification of Driver Genes and miRNAs in Ovarian Cancer through an Integrated In-Silico Approach Save
- Role of different non-coding RNAs as ovarian cancer biomarkers Save