Abstract

Molecular docking is an established in silico structure-based method widely used in drug discovery. Docking enables the identification of novel compounds of therapeutic interest, predicting ligand-target interactions at a molecular level, or delineating structure-activity relationships (SAR), without knowing a priori the chemical structure of other target modulators. Although it was originally developed to help understanding the mechanisms of molecular recognition between small and large molecules, uses and applications of docking in drug discovery have heavily changed over the last years. In this review, we describe how molecular docking was firstly applied to assist in drug discovery tasks. Then, we illustrate newer and emergent uses and applications of docking, including prediction of adverse effects, polypharmacology, drug repurposing, and target fishing and profiling, discussing also future applications and further potential of this technique when combined with emergent techniques, such as artificial intelligence.

Keywords

Drug discoveryDocking (animal)Drug repositioningIn silicoComputational biologyComputer scienceProfiling (computer programming)Virtual screeningProtein–ligand dockingDrugArtificial intelligenceBioinformaticsChemistryBiologyPharmacologyMedicine

MeSH Terms

AnimalsDrug DiscoveryDrug-Related Side Effects and Adverse ReactionsHumansMolecular Docking SimulationPolypharmacologyQuantitative Structure-Activity Relationship

Affiliated Institutions

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Publication Info

Year
2019
Type
review
Volume
20
Issue
18
Pages
4331-4331
Citations
1989
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

1989
OpenAlex
25
Influential
1743
CrossRef

Cite This

Luca Pinzi, Giulio Rastelli (2019). Molecular Docking: Shifting Paradigms in Drug Discovery. International Journal of Molecular Sciences , 20 (18) , 4331-4331. https://doi.org/10.3390/ijms20184331

Identifiers

DOI
10.3390/ijms20184331
PMID
31487867
PMCID
PMC6769923

Data Quality

Data completeness: 86%