Literature DB >> 18941902

VSDMIP: virtual screening data management on an integrated platform.

Rubén Gil-Redondo1, Jorge Estrada, Antonio Morreale, Fernando Herranz, Javier Sancho, Angel R Ortiz.   

Abstract

A novel software (VSDMIP) for the virtual screening (VS) of chemical libraries integrated within a MySQL relational database is presented. Two main features make VSDMIP clearly distinguishable from other existing computational tools: (i) its database, which stores not only ligand information but also the results from every step in the VS process, and (ii) its modular and pluggable architecture, which allows customization of the VS stages (such as the programs used for conformer generation or docking), through the definition of a detailed workflow employing user-configurable XML files. VSDMIP, therefore, facilitates the storage and retrieval of VS results, easily adapts to the specific requirements of each method and tool used in the experiments, and allows the comparison of different VS methodologies. To validate the usefulness of VSDMIP as an automated tool for carrying out VS several experiments were run on six protein targets (acetylcholinesterase, cyclin-dependent kinase 2, coagulation factor Xa, estrogen receptor alpha, p38 MAP kinase, and neuraminidase) using nine binary (actives/inactive) test sets. The performance of several VS configurations was evaluated by means of enrichment factors and receiver operating characteristic plots.

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Year:  2008        PMID: 18941902     DOI: 10.1007/s10822-008-9249-9

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  55 in total

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6.  Physics-based scoring of protein-ligand complexes: enrichment of known inhibitors in large-scale virtual screening.

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Journal:  Proteins       Date:  2007-05-15

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2.  VSDMIP 1.5: an automated structure- and ligand-based virtual screening platform with a PyMOL graphical user interface.

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Journal:  Biochem J       Date:  2014-05-01       Impact factor: 3.857

5.  Hakin-1, a New Specific Small-Molecule Inhibitor for the E3 Ubiquitin-Ligase Hakai, Inhibits Carcinoma Growth and Progression.

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Journal:  Cancers (Basel)       Date:  2020-05-23       Impact factor: 6.639

  5 in total

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