Nurul Nadzirin is a dedicated Protein Structural Analyst/Programmer at the European Molecular Biology Laboratory's European Bioinformatics Institute (EMBL-EBI), where she merges her passion for biological data analysis with her expertise in computational biology. With a focus on protein structural data, Nurul specializes in studying protein...
Nurul Nadzirin is a dedicated Protein Structural Analyst/Programmer at the European Molecular Biology Laboratory's European Bioinformatics Institute (EMBL-EBI), where she merges her passion for biological data analysis with her expertise in computational biology. With a focus on protein structural data, Nurul specializes in studying protein 3D motifs—specific arrangements of 2-12 amino acids in three-dimensional space. This work is crucial for establishing functional relationships between proteins, which can lead to significant advancements in understanding biological processes and disease mechanisms.
Currently, Nurul is engaged in a pivotal project under the Genome3D initiative, where she is mapping the connections between two of the most widely-used protein structural classification systems: SCOP (Structural Classification of Proteins) and CATH (Class, Architecture, Topology, and Homologous superfamily). Utilizing the PDBe's SIFTS data, she is working to enhance the accessibility and usability of protein structure information for the scientific community. This project not only underscores her skills in structural bioinformatics but also highlights her proficiency in programming languages such as Python and frameworks like Django REST, which she employs to develop robust back-end solutions for data integration and analysis.
Her technical expertise extends beyond programming; Nurul is well-versed in bioinformatics, genomics, and genetics, allowing her to approach complex biological questions with a comprehensive perspective. By leveraging her skills in Bash scripting and web development, she contributes to creating user-friendly tools that facilitate the exploration of protein structures. Nurul’s work is instrumental in bridging the gap between computational analysis and biological insight, making her a valuable asset to the EMBL-EBI team and the broader scientific community.
