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Updated: May 24, 2025

Large-Scale Screens of Metagenomic Libraries

Large-Scale Screens of Metagenomic Libraries

Published on: May 28, 2007

Parallelized Tools for the Preparation and Curation of Large Libraries for Virtual Screening.

Andreas Vitalis¹, David Parker¹, Fabian Radler¹

¹Department of Biochemistry, University of Zurich, Zurich, Switzerland.

Journal of Computational Chemistry

|March 6, 2025

Summary

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ParaLig is a new software package for computational drug discovery. It streamlines tasks like molecule parameterization and library generation, improving 3D coordinate handling and data interoperability for large-scale processing.

Area of Science:

Computational chemistry
Cheminformatics
Drug discovery

Background:

Computational drug discovery involves repetitive workflows.
Efficient handling of molecular data and interoperability are crucial.

Purpose of the Study:

Introduce ParaLig, a software package for computational drug discovery workflows.
Enhance 3D coordinate maintenance and data interoperability.
Facilitate scalable processing of large molecular libraries.

Main Methods:

ParaLig integrates functionalities from OpenBabel, RDKit, CGenFF, and AmberTools.
It supports parameterization, conformer generation, virtual reactions, library creation, and molecule editing.
MPI-based wrapper enables deployment on high-performance computing resources.

Keywords:

ABSINTH FAIR HPC cheminformatics combinatorial chemistry conformer generation parameterization partial charges small molecules virtual screening

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Related Experiment Videos

Last Updated: May 24, 2025

Large-Scale Screens of Metagenomic Libraries

Large-Scale Screens of Metagenomic Libraries

Published on: May 28, 2007

Achieving Efficient Fragment Screening at XChem Facility at Diamond Light Source

Achieving Efficient Fragment Screening at XChem Facility at Diamond Light Source

Published on: May 29, 2021

Workflow and Tools for Crystallographic Fragment Screening at the Helmholtz-Zentrum Berlin

Workflow and Tools for Crystallographic Fragment Screening at the Helmholtz-Zentrum Berlin

Published on: March 3, 2021

Main Results:

ParaLig provides solutions for key computational drug discovery tasks.
Improved maintenance and creation of 3D coordinates.
Enhanced interoperability through stable meta-information embedding and compatible molecular representations.

Conclusions:

ParaLig offers a comprehensive solution for computational drug discovery workflows.
The software is designed for scalable bulk processing and high-performance computing.
Performance benchmarks demonstrate throughput and result quality.