NCSI

   

Investigation of Metal Binding in Psoriasin using Molecular Dynamics Simulations


Shodor > NCSI > XSEDE EMPOWER > XSEDE EMPOWER Positions > Investigation of Metal Binding in Psoriasin using Molecular Dynamics Simulations

Status
Completed
Mentor NameDeepika Das
Mentor's XSEDE AffiliationResearch allocation
Mentor Has Been in XSEDE Community1-2 years
Project TitleInvestigation of Metal Binding in Psoriasin using Molecular Dynamics Simulations
SummaryThis study aims to understand the structural variations of psoriasin by providing a comparative analysis of the chemical and biophysical properties for the two structures of psoriasin in apo and metalated form at a molecular level by running molecular dynamics simulations using NAMD.
Job DescriptionStudent will create XSEDE account, use computational resource from research allocation for the project Investigation of Metal Binding in Psoriasin using Molecular Dynamics Simulations to run molecular dynamics (MD) simulation using NAMD.The student willlearn to manage and store data using XSEDE resources. They will also use VMD for visualization and analysis of data followed by plotting the analyzed data using python and matplotlib.
Computational ResourcesThe project will use XSEDE research allocation for the project 'Investigation of Metal Binding in Psoriasin using Molecular Dynamics Simulations' (BIO210014).
Contribution to CommunityThis project will enable exposure of second-year undergraduates to scope of computational resources and pave the development of a large-scale student engagement.This project will also result in a publication with undergraduate stuednts as primary authors.
Position TypeLearner
Training Plan1) Linux - The student would create and use their XSEDE account through terminal using resources like putty to access and navigate bridges-2 resources.
2) MD simulation- The student will learn to run molecular dynamics simulation using the NAMD software. They would also learn to manage and store the collected data using XSEDE resources.
3) VMD- The student will learn to use VMD for visualizing protein and simulation trajectories followed by performing data analysis using tcl script and rendering images.
4)Data analysis and visualization- The student will learn to plot analyzed data using tools like python/matplotlib and create publication quality images from their data
Student Prerequisites/Conditions/QualificationsThe student is required to have a background in chemistry and biochemistry to understand the basics of molecular structure and structure-function relationship in proteins.
DurationQuarter
Start Date08/30/2021
End Date11/30/2021

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