Literature DB >> 30540457

LigandScout Remote: A New User-Friendly Interface for HPC and Cloud Resources.

Thomas Kainrad1,2, Sascha Hunold1, Thomas Seidel3, Thierry Langer2,3.   

Abstract

High-performance computing (HPC) clusters play a major role in scientific research. However, working with these clusters is often cumbersome, especially for researchers without a formal background in computer science. It requires preparation and transfer of the input data, manual gathering of results, and command-line expertise. Current approaches for improving accessibility to remote HPC clusters are focused on providing web-based graphical front-ends that allow jobs to be submitted to the distributed resource management system running on the cluster. This comes with significant usability benefits over command-line usage but does not circumvent the need for manual handling of the input and output files. With LigandScout Remote, we propose a different solution. Our software enables the seamless integration of HPC resources into the LigandScout desktop application that scientists use also in their day-to-day work. By handling necessary data conversion and network communication transparently to the user, this approach completely evades any HPC usability barriers. We show that the developed software combines the usability of local graphical desktop applications with the performance of HPC clusters.

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Year:  2018        PMID: 30540457     DOI: 10.1021/acs.jcim.8b00716

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  3 in total

1.  Identifying RO9021 as a Potential Inhibitor of PknG from Mycobacterium tuberculosis: Combinative Computational and In Vitro Studies.

Authors:  Alicia Arica-Sosa; Roberto Alcántara; Gabriel Jiménez-Avalos; Mirko Zimic; Pohl Milón; Miguel Quiliano
Journal:  ACS Omega       Date:  2022-05-31

2.  Predicting Potential Endocrine Disrupting Chemicals Binding to Estrogen Receptor α (ERα) Using a Pipeline Combining Structure-Based and Ligand-Based in Silico Methods.

Authors:  Asma Sellami; Matthieu Montes; Nathalie Lagarde
Journal:  Int J Mol Sci       Date:  2021-03-11       Impact factor: 5.923

3.  Casticin inhibits nasopharyngeal carcinoma growth by targeting phosphoinositide 3-kinase.

Authors:  Jingxian Liu; Jinghong Yang; Yuhe Hou; Zhenwei Zhu; Jie He; Hao Zhao; Xidong Ye; Dengke Li; Zhaohui Wu; Zhongxi Huang; Bingtao Hao; Kaitai Yao
Journal:  Cancer Cell Int       Date:  2019-12-21       Impact factor: 5.722

  3 in total

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