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Fill in the blank to create a correct footnote. "There are three major classes of computational methods for predicting DT!Ligand-hased, Docking basind, and Chemogendinic approaches. Ligand-based approaches leverage the similarity between target proteins ligands to predict interactions? typeyouranswer Aanchal Mongia and Angshul Majumdar, "Drug-Target Interaction Prediction Using Multi Graph Repularized Nuclear Norm Minimization: typeyouranswer 15. no, 1 (2020): 2 EBSCOhost, https://dolorg 10.1371/journal proce 0226484 Authors: Aanchal Mongla and Angshul Majumdar Article Title: Drug-Target Interaction Prediction Using Multi Graph Regularized Nuclear Norm Minimization Year of Publication: 2020 Journal Title: PloS One Volume: 15 Issue: 1 Database: EBSCOhost Page Range: 1-19 Quote page: 2 DOI: https://doi.org 10.1371/journal pone.0226484

Question

Fill in the blank to create a correct footnote. "There are three major classes of computational methods for predicting DT!Ligand-hased, Docking basind, and Chemogendinic approaches. Ligand-based approaches leverage the similarity between target proteins ligands to predict interactions? typeyouranswer Aanchal Mongia and Angshul Majumdar, "Drug-Target Interaction Prediction Using Multi Graph Repularized Nuclear Norm Minimization: typeyouranswer 15. no, 1 (2020): 2 EBSCOhost, https://dolorg 10.1371/journal proce 0226484 Authors: Aanchal Mongla and Angshul Majumdar Article Title: Drug-Target Interaction Prediction Using Multi Graph Regularized Nuclear Norm Minimization Year of Publication: 2020 Journal Title: PloS One Volume: 15 Issue: 1 Database: EBSCOhost Page Range: 1-19 Quote page: 2 DOI: https://doi.org 10.1371/journal pone.0226484

Fill in the blank to create a correct footnote. "There are three major classes of computational methods for predicting DT!Ligand-hased, Docking basind, and Chemogendinic approaches. Ligand-based approaches leverage the similarity between target proteins ligands to predict interactions? typeyouranswer Aanchal Mongia and Angshul Majumdar, "Drug-Target Interaction Prediction Using Multi Graph Repularized Nuclear Norm Minimization: typeyouranswer 15. no, 1 (2020): 2 EBSCOhost, https://dolorg 10.1371/journal proce 0226484 Authors: Aanchal Mongla and Angshul Majumdar Article Title: Drug-Target Interaction Prediction Using Multi Graph Regularized Nuclear Norm Minimization Year of Publication: 2020 Journal Title: PloS One Volume: 15 Issue: 1 Database: EBSCOhost Page Range: 1-19 Quote page: 2 DOI: https://doi.org 10.1371/journal pone.0226484

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"There are three major classes of computational methods for predicting DTI: Ligand-based, Docking-based, and Chemogenomic approaches. Ligand-based approaches leverage the similarity between target proteins' ligands to predict interactions." Aanchal Mongia and Angshul Majumdar, "Drug-Target Interaction Prediction Using Multi Graph Regularized Nuclear Norm Minimization," *PloS One* 15, no. 1 (2020): 2, EBSCOhost, https://doi.org/10.1371/journal.pone.0226484.
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