Authors:

Angel Ortiz

Date Created:

Not specified

Course Title:

Professor:

Not specified

About Paper:

Throughout the summer, I focused on developing a Python script to enhance structural biology analysis by mapping local resolution from cryo-EM local resolution maps to modeled coordinates. The project involved processing Protein Data Bank (PDB) and Electron Microscopy Map (MRC) files to generate a new PDB file that includes local resolution as the value in the B-factor column. The developed script addresses the need for detailed local resolution information, which is crucial for understanding the variability in resolution within a model built from electron microscopy density maps. By integrating this data directly into PDB files, researchers can more accurately interpret structural data and improve the quality of model building. Our approach involves parsing the input PDB and MRC files, calculating the local resolution at each coordinate, and appending this information to output a new PDB file. This new file format allows seamless integration with existing visualization and analysis tools, facilitating more precise and informative structural interpretations. Preliminary tests demonstrate that our script efficiently processes large datasets and accurately reflects local resolution variations. This tool promises to be a valuable asset for the structural biology community. We hope to make it available to other labs soon, both as a script as well as a web-service. Keywords: [no keywords provided]

Source:

Purdue University / 2024

Topics:

No topics listed

Co-authors:

Angel Ortiz