Journal
NUCLEIC ACIDS RESEARCH
Volume 49, Issue W1, Pages W326-W335Publisher
OXFORD UNIV PRESS
DOI: 10.1093/nar/gkab385
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Funding
- FAR - Fondo di Ateneo per la Ricerca [166835]
- Regione Emilia Romagna on Data driven technologies for drug repurposing
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Despite available in silico drug design tools, results are often challenging to integrate or utilize fully; Multi-target ligand rational design and drug repurposing are gaining attention; Computational tools and data-driven approaches can reveal new drug discovery opportunities, and LigAdvisor integrates various database information to facilitate drug discovery tasks.
Although several tools facilitating in silico drug design are available, their results are usually difficult to integrate with publicly available information or require further processing to be fully exploited. The rational design of multi-target ligands (polypharmacology) and the repositioning of known drugs towards unmet therapeutic needs (drug repurposing) have raised increasing attention in drug discovery, although they usually require careful planning of tailored drug design strategies. Computational tools and data-driven approaches can help to reveal novel valuable opportunities in these contexts, as they enable to efficiently mine publicly available chemical, biological, clinical, and disease-related data. Based on these premises, we developed LigAdvisor, a data-driven webserver which integrates information reported in DrugBank, Protein Data Bank, UniProt, Clinical Trials and Therapeutic Target Database into an intuitive platform, to facilitate drug discovery tasks as drug repurposing, polypharmacology, target fishing and profiling. As designed, LigAdvisor enables easy integration of similarity estimation results with clinical data, thereby allowing a more efficient exploitation of information in different drug discovery contexts. Users can also develop customizable drug design tasks on their own molecules, by means of ligand- and target-based search modes, and download their results.
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