How to Install and Uninstall maeparser.x86_64 Package on Oracle Linux 9

Last updated: November 30,2024

1. Install "maeparser.x86_64" package

This tutorial shows how to install maeparser.x86_64 on Oracle Linux 9


    
        
            $
        

        
            
                sudo dnf update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf install
            
                        
                maeparser.x86_64
            
                    
    
    Copied

2. Uninstall "maeparser.x86_64" package

In this section, we are going to explain the necessary steps to uninstall maeparser.x86_64 on Oracle Linux 9:


    
        
            $
        

        
            
                sudo dnf remove
            
                        
                maeparser.x86_64
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the maeparser.x86_64 package on Oracle Linux 9

Last metadata expiration check: 1:05:40 ago on Thu Feb 15 07:50:05 2024.
Available Packages
Name : maeparser
Version : 1.3.0
Release : 1.el9
Architecture : x86_64
Size : 107 k
Source : maeparser-1.3.0-1.el9.src.rpm
Repository : epel
Summary : A parser for Schrodinger Maestro files
URL : https://github.com/schrodinger/maeparser/
License : MIT
Description :
: Maestro is a commercial "all-purpose molecular modeling environment",
: produced and distributed by the company Schrödinger. Maestro has its
: own cognate file format, typically associated with the ".mae" file
: extension. This package provides an open-source parser for the Maestro
: file format, released and maintained by the Maestro developers.
: This facilitates a lossless transition from the widely accepted suite
: of Schrödinger into local custom developments or the open-source world
: at large. Maeparser handles output from:
: * Molecular Dynamics applications, such as Desmond and FEP+
: * Ligand-Protein Docking applications, such as Glide
: * Homology Modeling and folding applications, such as Prime
: * Ligand-based search applications, such as Phase and Phase Shape
: * Quantum Mechanics applications, such as Jaguar
: * Protein-Protein Docking applications
: * ... many other backends used in both Life and Material Sciences