Ligand aligning method for molecular docking: Alignment of property-weighted vectors

Jong Young Joung, Ky Youb Nam, Kwang Hwi Cho, Kyoung Tai No

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

To reduce searching effort in conformational space of ligand docking positions, we propose an algorithm that generates initial binding positions of the ligand in a target protein, based on the property-weighted vector (P-weiV), the three-dimensional orthogonal vector determined by the molecular property of hydration-free energy density. The alignment of individual P-weiVs calculated separately for the ligand and the protein gives the initial orientation of a given ligand conformation relative to an active site; these initial orientations are then ranked by simple energy functions, including solvation. Because we are using three-dimensional orthogonal vectors to be aligned, only four orientations of ligand positions are possible for each ligand conformation, which reduces the search space dramatically. We found that the performance of P-weiV compared favorably to the use of principle moment of inertia (PMI) as implemented in LigandFit when we tested the abilities of the two approaches to correctly predict 205 protein-ligand complex data sets from the PDBBind database. P-weiV correctly predicted the alignment of ligands (within rmsd of 2.5 Å) with 57.6% reliability (118/205) for the top 10 ranked conformations and with 74.1% reliability (152/205) for the top 50 ranked conformations of Catalyst-generated conformers, as compared to 22.9% (47/205) and 31.2% (64/205), respectively, in the case of PMI with the same conformer set.

Original languageEnglish
Pages (from-to)984-995
Number of pages12
JournalJournal of Chemical Information and Modeling
Volume52
Issue number4
DOIs
Publication statusPublished - 2012 Jun 14

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Ligands
energy
Conformations
Proteins
Crystal orientation
ability
performance
Solvation
Hydration
Free energy
Catalysts

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Chemical Engineering(all)
  • Computer Science Applications
  • Library and Information Sciences

Cite this

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title = "Ligand aligning method for molecular docking: Alignment of property-weighted vectors",
abstract = "To reduce searching effort in conformational space of ligand docking positions, we propose an algorithm that generates initial binding positions of the ligand in a target protein, based on the property-weighted vector (P-weiV), the three-dimensional orthogonal vector determined by the molecular property of hydration-free energy density. The alignment of individual P-weiVs calculated separately for the ligand and the protein gives the initial orientation of a given ligand conformation relative to an active site; these initial orientations are then ranked by simple energy functions, including solvation. Because we are using three-dimensional orthogonal vectors to be aligned, only four orientations of ligand positions are possible for each ligand conformation, which reduces the search space dramatically. We found that the performance of P-weiV compared favorably to the use of principle moment of inertia (PMI) as implemented in LigandFit when we tested the abilities of the two approaches to correctly predict 205 protein-ligand complex data sets from the PDBBind database. P-weiV correctly predicted the alignment of ligands (within rmsd of 2.5 {\AA}) with 57.6{\%} reliability (118/205) for the top 10 ranked conformations and with 74.1{\%} reliability (152/205) for the top 50 ranked conformations of Catalyst-generated conformers, as compared to 22.9{\%} (47/205) and 31.2{\%} (64/205), respectively, in the case of PMI with the same conformer set.",
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Ligand aligning method for molecular docking : Alignment of property-weighted vectors. / Joung, Jong Young; Nam, Ky Youb; Cho, Kwang Hwi; No, Kyoung Tai.

In: Journal of Chemical Information and Modeling, Vol. 52, No. 4, 14.06.2012, p. 984-995.

Research output: Contribution to journalArticle

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