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• W2052568158 abstract "There is a growing interest in the mechanisms and the prediction of how flexible peptides bind proteins, often in a highly selective and conserved manner. While both existing small-molecule docking methods and custom protocols can be used, even short peptides make difficult targets owing to their high torsional flexibility. Any benchmarking should therefore start with those. We compiled a meta-data set of 47 complexes with peptides up to five residues, based on 11 related studies from the past decade. Although their highly varying strategies and constraints preclude direct, quantitative comparisons, we still provide a comprehensive overview of the reported results, using a simple yet stringent measure: the quality of the top-scoring peptide pose. Using the entire data set, this is augmented by our own benchmark of AutoDock Vina, a freely available, fast and widely used docking tool. It particularly addresses non-expert users and was therefore implemented in a highly integrated manner. Guidelines addressing important issues such as the amount of sampling required for result reproducibility are so far lacking. Using peptide docking as an example, this is the first study to address these issues in detail. Finally, to encourage further, standardized benchmarking efforts, the compiled data set is made available in an accessible, transparent and extendable manner." @default.
• W2052568158 created "2016-06-24" @default.
• W2052568158 creator A5005996110 @default.
• W2052568158 creator A5066040388 @default.
• W2052568158 date "2015-04-21" @default.
• W2052568158 modified "2023-10-16" @default.
• W2052568158 title "Docking small peptides remains a great challenge: an assessment using AutoDock Vina" @default.
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• W2052568158 doi "https://doi.org/10.1093/bib/bbv008" @default.
• W2052568158 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25900849" @default.
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