首页|Researchers at University of Salerno Publish New Study Findings on Machine Learning (Advancements and novel approaches in modified AutoDock Vina algorithms for enhanced molecular docking)
Researchers at University of Salerno Publish New Study Findings on Machine Learning (Advancements and novel approaches in modified AutoDock Vina algorithms for enhanced molecular docking)
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NETL
NSTL
Elsevier
Investigators publish new report on artificial intelligence. According to news reporting out of Fisciano, Italy, by NewsRx editors, research stated, “Molecular docking plays a crucial role in modern drug discovery by facilitating the prediction of interactions between small molecules and biomolecular targets.” Financial supporters for this research include Ministero Dell’universita E Della Ricerca; Ministero Dell’istruzione Dell’universita E Della Ricerca. The news journalists obtained a quote from the research from University of Salerno: “AutoDock Vina (Vina) has earned its reputation as a leading software thanks to its effective energy-based scoring system and user-friendly interface. However, the growing demands of computational biology have prompted investigations into improvements for Vina, leading to a range of algorithmic enhancements. This systematic review explores the recent developments achieved by Vina for molecular docking. These modifications include hybrid parallelization methods utilizing high-performance computing and innovative scoring functions integrated with machine learning.”
University of SalernoFiscianoItalyEuropeAlgorithmsCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
Elsevier
