Fatima Noor
University of Lahore, Curtin University, Government College University, Faisalabad, Government College University Faisalabad, Pakistan
Research areas: Biochemistry, Genetics and Molecular Biology · Molecular Biology · Computational Drug Discovery Methods · Bioinformatics and Genomic Networks · vaccines and immunoinformatics approaches
0000-0001-7974-6005
About
I am a PhD student at Curtin University with a strong passion for research across diverse fields of biological and health sciences. My academic interests include bioinformatics, computational biology, genetics, molecular biology, and the application of advanced technologies to improve human health.
Throughout my research journey, I have explored a wide range of biological systems and developed experience in data analysis, computational methods, molecular modelling, machine learning, multi-omics integration, and scientific tool development. My broader aim is to contribute to the advancement of scientific knowledge by supporting the development of innovative methods, resources, and user-friendly research tools.
I am particularly interested in interdisciplinary research that combines biological knowledge with computational and analytical approaches to better understand complex health-related challenges and contribute to improved health and well-being.
Employment
- 2021 - 2026
Education
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Curtin University Doctor of Philosophy2026 - Present
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Government College University, Faisalabad MS Bioinformatics2021 - 2023
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Government College University Faisalabad, Pakistan BS Bioinformatics2017 - 2021
Projects & Funding
Projects & funding information is unavailable.
Publications (41)
- Leveraging Pan-Genomics, Subtractive Proteomics and Molecular Modeling to Identify Potential Drug Targets and Phytochemical Inhibitors for Leprosy Treatment Save
- Integrative bioinformatics and machine learning approaches reveal oxidative stress and glucose metabolism related genes as therapeutic targets and drug candidates in Alzheimer’s disease Save
- Targeting mRNA export complex macromolecules THO subunits (Thoc2 and Thoc5) for somatic cell reprograming Save
- Characterization of Helicobacter pylori immunoreactive proteins NusB, isoprenyl transferase, and hypothetical protein via immunoproteomics and molecular modeling approaches Save
- Bioinformatics and immunoinformatics approaches in the design of a multi-epitope vaccine targeting CTLA-4 for melanoma treatment Save
- Deep-HPI-pred: An R-Shiny applet for network-based classification and prediction of Host-Pathogen protein-protein interactions Save
- Advanced network pharmacology and molecular docking-based mechanism study to explore the multi-target pharmacological mechanism of Cymbopogon citratus against Alzheimer's disease Save
- Deep learning pipeline for accelerating virtual screening in drug discovery Save
- Generation of host-pathogen interaction data: an overview of recent technological advancements Save
- Identification of novel antimicrobial compounds in colostrum-associated Lactiplantibacillus plantarum ZFS 1 and 2 by integrating in vitro, machine learning and bioinformatics approaches Save
- Multitarget Mechanisms of Monocarbonyl Curcuminoid Analogues against HL-60 Cancer Cells: In Vitro and Network Pharmacology-Based Approach Save
- Potential Target Metabolites From Gut Microbiota Against Hepatocellular Carcinoma: A Network Pharmacology and Molecular Docking Study Save
- Role of Computational Biology in Microbiome Research Save
- Role of small molecules as drug candidates for reprogramming somatic cells into induced pluripotent stem cells: A comprehensive review Save
- Subtractive proteomics-based vaccine targets annotation and reverse vaccinology approaches to identify multiepitope vaccine against Plesiomonas shigelloides Save
- Identification and characterization of codon usage pattern and influencing factors in HFRS-causing hantaviruses Save
- Advanced network pharmacology study reveals multi-pathway and multi-gene regulatory molecular mechanism of Bacopa monnieri in liver cancer based on data mining, molecular modeling, and microarray data analysis Save
- Integrated molecular modeling and dynamics approaches revealed potential natural inhibitors of NF-κB transcription factor as breast cancer therapeutics Save
- Machine learning for synergistic network pharmacology: a comprehensive overview Save
- Discovering common pathogenic processes between COVID-19 and HFRS by integrating RNA-seq differential expression analysis with machine learning Save