Miss Mahnoor Nadeem

Mahnoor Nadeem is a researcher specializing in bioinformatics and biological sciences, with robust academic training in computational biology, plant genetics, and agricultural biotechnology. She earned her Bachelor of Science (Hons.) in Bioinformatics, acquiring comprehensive expertise in biological database management, sequence analysis, genomics, characterization of disease-associated genetic variants, protein structure and function analysis, and in silico research methodologies. Her undergraduate thesis involved the computational investigation of missense variants within the PKD1 gene associated with Autosomal Dominant Polycystic Kidney Disease, establishing a strong technical foundation in biomedical bioinformatics and quantitative analysis.
Subsequently, she completed her Master of Philosophy in Biological Sciences, with a specialization in Plant Breeding and Genetics, at NIAB‑C/PIEAS, Pakistan. She graduated with a distinguished CGPA of 3.93/4.00 and was awarded a Silver Medal in recognition of outstanding academic performance. Her postgraduate research, titled “Genome‑wide analysis of the Basic Helix‑Loop‑Helix (bHLH) transcription factor family and phenotypic evaluation of chickpea genotypes under salinity stress,” encompassed gene identification, conserved domain validation, multiple sequence alignment, phylogenetic reconstruction, conserved motif characterization, and data visualization. This work was executed using advanced bioinformatics platforms including HMMER, Pfam, InterPro, SMART, Clustal Omega, MEGA, MEME, TBtools, and iTOL.
Her research portfolio centres on the integration of bioinformatics, genomics, and machine learning to address complex biological challenges across agricultural, food, and health sciences. Her core interests include genetic enhancement of crop species, mechanisms of abiotic stress tolerance, food security, protein functional analysis, and the development of interpretable computational prediction models, all aimed at advancing safer, more sustainable food systems and translational biomedical applications.