These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: Rescoring ligand docking poses.
    Author: Zhong S, Zhang Y, Xiu Z.
    Journal: Curr Opin Drug Discov Devel; 2010 May; 13(3):326-34. PubMed ID: 20443166.
    Abstract:
    The ranking of ligand docking poses according to certain scoring systems to identify the best fit is the most important step in virtual database screening for drug discovery. By focusing on method development strategy, this review provides possibilities for constructing rescoring approaches based on an overview of recent developments in the field. These developments can be classified into three categories. The first category involves a scaling approach that employs a factor to scale the primary scoring function. These scaling factors are defined with respect to the geometrical match between the location of a ligand and the target binding site, or defined according to a molecular weight distribution consistent with the empirical range of molecular weights of drug-like compounds. The second category involves consensus scoring approaches that use multiple scoring functions to rank the ligand poses retained in a docking procedure, based on the preliminary ranking according to a primary scoring function. The final category involves the addition of selected accuracy-oriented energy terms, such as the solvent effect and quantum mechanics/molecular mechanics treatments.
    [Abstract] [Full Text] [Related] [New Search]