DRUDIT: web-based DRUgs DIscovery Tools to design small molecules as modulators of biological targets.


Journal

Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944

Informations de publication

Date de publication:
01 03 2020
Historique:
received: 23 04 2019
revised: 19 08 2019
accepted: 10 10 2019
pubmed: 13 10 2019
medline: 18 9 2020
entrez: 13 10 2019
Statut: ppublish

Résumé

New in silico tools to predict biological affinities for input structures are presented. The tools are implemented in the DRUDIT (DRUgs DIscovery Tools) web service. The DRUDIT biological finder module is based on molecular descriptors that are calculated by the MOLDESTO (MOLecular DEScriptors TOol) software module developed by the same authors, which is able to calculate more than one thousand molecular descriptors. At this stage, DRUDIT includes 250 biological targets, but new external targets can be added. This feature extends the application scope of DRUDIT to several fields. Moreover, two more functions are implemented: the multi- and on/off-target tasks. These tools applied to input structures allow for predicting the polypharmacology and evaluating the collateral effects. The applications described in the article show that DRUDIT is able to predict a single biological target, to identify similarities among biological targets, and to discriminate different target isoforms. The main advantages of DRUDIT for the scientific community lie in its ease of use by worldwide scientists and the possibility to be used also without specific, and often expensive, hardware and software. In fact, it is fully accessible through the WWW from any device to perform calculations. Just a click or a tap can start tasks to predict biological properties for new compounds or repurpose drugs, lead compounds, or unsuccessful compounds. To date, DRUDIT is supported by four servers each able to execute 8 jobs simultaneously. The web service is accessible at the www.drudit.com URL and its use is free of charge. Supplementary data are available at Bioinformatics online.

Identifiants

pubmed: 31605102
pii: 5586311
doi: 10.1093/bioinformatics/btz783
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1562-1569

Informations de copyright

© The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Antonino Lauria (A)

Dipartimento di Scienze e Tecnologie Biologiche Chimiche e Farmaceutiche "STEBICEF".

Salvatore Mannino (S)

Dipartimento di Scienze e Tecnologie Biologiche Chimiche e Farmaceutiche "STEBICEF".

Carla Gentile (C)

Dipartimento di Scienze e Tecnologie Biologiche Chimiche e Farmaceutiche "STEBICEF".

Giuseppe Mannino (G)

Dipartimento di Scienze e Tecnologie Biologiche Chimiche e Farmaceutiche "STEBICEF".

Annamaria Martorana (A)

Dipartimento di Scienze e Tecnologie Biologiche Chimiche e Farmaceutiche "STEBICEF".

Daniele Peri (D)

Dipartimento di Ingegneria, University of Palermo, Palermo I-90128, Italy.

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Classifications MeSH