Literature DB >> 31074975

BRUSELAS: HPC Generic and Customizable Software Architecture for 3D Ligand-Based Virtual Screening of Large Molecular Databases.

Antonio J Banegas-Luna1, José P Cerón-Carrasco1, Savíns Puertas-Martín2, Horacio Pérez-Sánchez1.   

Abstract

BRUSELAS (balanced rapid and unrestricted server for extensive ligand-aimed screening) is a novel, highly efficient web software architecture for 3D shape and pharmacophore searches in off the cuff libraries. A wide panel of shape and pharmacophore similarity algorithms are combined to avoid unbiased results while yielding consensus scoring functions. To evaluate its reliability, BRUSELAS was tested against other similar servers (e.g., USR-VS, SwissSimilarity, ChemMapper) to search for potential antidiabetic drugs. A web tool is developed for users to customize their tasks and is accessible free of any charge or login at http://bio-hpc.eu/software/Bruselas . Source code is available on request.

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Year:  2019        PMID: 31074975     DOI: 10.1021/acs.jcim.9b00279

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


  3 in total

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2.  NMR-Based Chemical Profiling, Isolation and Evaluation of the Cytotoxic Potential of the Diterpenoid Siderol from Cultivated Sideritis euboea Heldr.

Authors:  Ekaterina-Michaela Tomou; Maria V Chatziathanasiadou; Paschalina Chatzopoulou; Andreas G Tzakos; Helen Skaltsa
Journal:  Molecules       Date:  2020-05-20       Impact factor: 4.411

3.  Homology Modeling, de Novo Design of Ligands, and Molecular Docking Identify Potential Inhibitors of Leishmania donovani 24-Sterol Methyltransferase.

Authors:  Patrick O Sakyi; Emmanuel Broni; Richard K Amewu; Whelton A Miller; Michael D Wilson; Samuel Kojo Kwofie
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  3 in total

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