PyPLIF HIPPOS: A Molecular Interaction Fingerprinting Tool for Docking Results of AutoDock Vina and PLANTS

Istyastono, Enade P. and Radifar, Muhammad and Yuniarti, Nunung and Prasasty, Vivitri D. and Mungkasi, Sudi (2020) PyPLIF HIPPOS: A Molecular Interaction Fingerprinting Tool for Docking Results of AutoDock Vina and PLANTS. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 60 (8). pp. 3697-3702. ISSN 1549-9596

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Abstract

We describe here our tool named PyPLIF HIPPOS, which was newly developed to analyze the docking results of AutoDock Vina and PLANTS. Its predecessor, PyPLIF (https://github.com/radifar/pyplif), is a molecular interaction fingerprinting tool for the docking results of PLANTS, exclusively. Unlike its predecessor, PyPLIF HIPPOS speeds up the computational times by separating the reference generation and docking analysis. PyPLIF HIPPOS also offers more options compared to PyPLIF. PyPLIF HIPPOS for Linux is stored as the Supporting Information in this application note and can be accessed in GitHub (https://github.com/radifar/PyPLIF-HIPPOS). Additionally, we present here the application of the tool in a retrospective structure-based virtual screening campaign targeting neuraminidase.

Item Type: Article
Additional Information: Library Dosen
Subjects: R Medicine > RS Pharmacy and materia medica
Divisions: Faculty of Pharmacy
Depositing User: Sri JUNANDI
Date Deposited: 07 Jul 2025 02:06
Last Modified: 07 Jul 2025 02:06
URI: https://ir.lib.ugm.ac.id/id/eprint/17825

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