Abstract
Abstract In silico methods have contributed greatly to our understanding of the molecular world. PyMOL, an open-source 3D molecular visualization software, produces high quality images and videos of proteins. Here, we discuss a plugin called ProMOL that augments PyMOL’s capabilities by adding a way to decipher unknown proteins using template-based structural alignment. Software is constantly updated to meet the demands of users. ProMOL fell behind in this regard and required a major overhaul in its code to work with older and newer versions of PyMOL. This included multiple API updates, Python language migration, and code optimizations. The result of the overhaul produced two versions of ProMOL. ProMOL 5.5 is a working version used with PyMOL 1.8 and ProMOL 6.0 partially works with PyMOL 2.4. Outdated software stymies scientific progress and innovation. The right tools in the right hands can lead to phenomenal discoveries.
Library of Congress Subject Headings
Proteins--Analysis--Data processing; Molecular structure--Data processing; Structural bioinformatics
Publication Date
7-30-2021
Document Type
Thesis
Student Type
Graduate
Degree Name
Bioinformatics (MS)
Department, Program, or Center
Thomas H. Gosnell School of Life Sciences (COS)
Advisor
Paul A. Craig
Advisor/Committee Member
Gary Skuse
Advisor/Committee Member
Joe Geigel
Recommended Citation
Robertson, Mariah, "ProMOL: Updating the Template Based Structural Alignment Plugin" (2021). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/10903
Campus
RIT – Main Campus
Plan Codes
BIOINFO-MS