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Homology modeling, molecular docking, and dynamics of two α-methyl-D-mannoside-specific lectins from Arachis genus.

Kyria Santiago NascimentoDavid Alencar AraripeVanir Reis Pinto-JuniorVinicius Jose Silva OsterneFrancisco William Viana MartinsAntonio Hadson Bastos NecoGil Aquino FariasBenildo Sousa Cavada
Published in: Journal of molecular modeling (2018)
The Arachis genus belongs to the Dalbergieae tribe, a group of plants that show promising potential novel lectins. Three lectins of the well-known Arachis hypogaea have already been purified, while lectins from related species are still unknown. Genomes of two closely related species, Arachis duranensis and Arachis ipaensis, were recently sequenced. Therefore, this study aimed to establish the three-dimensional structure of Arachis duranensis lectin (ADL) and Arachis ipaensis lectin (AIL) by homology modeling, test their activity against mannosides, and perform molecular dynamics (MD) simulations on these two proteins, both unligated and interacting with mannose or α-methyl-D-mannoside. The fold obtained for the molecular models agrees with data obtained from previous leguminous lectins, showing a conserved jelly roll motif. Docking scores indicate that these lectins have different theoretical binding energy with monosaccharides, disaccharides, and high-mannose glycans. MD simulations revealed that these proteins are α-methyl-D-mannoside-specific, having less stable interactions with mannose. This study thus serves as a guide for further research on lectins of the Arachis genus.
Keyphrases
  • molecular dynamics
  • molecular docking
  • machine learning
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  • single cell
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  • risk assessment
  • artificial intelligence
  • deep learning
  • single molecule
  • protein protein