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Predicting novel drug candidates against Covid-19 using generative deep neural networks

Santhosh Amilpur, Raju Bhukya

2021Journal of Molecular Graphics and Modelling25 citationsDOIOpen Access PDF

Topics & Concepts

Chemical spaceDocking (animal)Drug discoveryDrugIn silicoDrug repositioningComputational biologyBinding affinitiesCoronavirus disease 2019 (COVID-19)CoronavirusSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Approved drugSmall moleculeComputer scienceChemistryCombinatorial chemistryPharmacologyBiologyMedicineInfectious disease (medical specialty)BiochemistryGeneNursingReceptorDiseasePathologyComputational Drug Discovery MethodsProtein Structure and Dynamicsvaccines and immunoinformatics approaches
Predicting novel drug candidates against Covid-19 using generative deep neural networks | Litcius