ArticleJournal of computer-aided molecular design2020
Prediction of ligand binding mode among multiple cross-docking poses by molecular dynamics simulations.
Article in Journal of computer-aided molecular design, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed.
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- The dolabellane diterpenes as potential inhibitors of the SARS-CoV-2 main protease: molecular insight of the inhibitory mechanism through computational studies.RSC advances · 2021Article
- Exploration of stilbenoid trimers as potential inhibitors of sirtuin1 enzyme using a molecular docking and molecular dynamics simulation approach.RSC advances · 2021Article
- Docking-generated multiple ligand poses for bootstrapping bioactivity classifying Machine Learning: Repurposing covalent inhibitors for COVID-19-related TMPRSS2 as case study.Computational and structural biotechnology journal · 2021Article
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2 authors.
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Abstract
We propose a method to identify the correct binding mode of a ligand with a protein among multiple predicted docking poses. Our method consists of two steps. First, five independent MD simulations with different initial velocities are performed for each docking pose, in order to evaluate its stability. If the root-mean-square deviations (RMSDs) of heavy atoms from the docking pose are larger than a given threshold (2.0 Å) in all five parallel runs, the pose is filtered out and discarded. Then, we perform accurate all-atom binding free energy calculations for the residual poses only. The pose with the lowest binding free energy is identified as the correct pose. As a test case, we applied our method to a previously built cross-docking test set, which included 104 complex systems. We found that the present method could successfully identify the correct ligand binding mode for 72% (75/104) of the complexes for current test set. The possible reasons for the failure of the method in the other cases were investigated in detail, to enable future improvements.
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