Screensaver lifesaver

Phase 2 of the Project

As of 1 July 2002 we have moved into Phase 2 of the Screensaver Project. In Phase 1, using the THINK software, some 3.5 billion drug-like molecules, mostly as yet unsynthesised, have been tested against 12 proteins which are known as suitable targets for anti-cancer drugs. Each single molecule has been tested a multiple of times to ensure a complete coverage and to give some quality reassurance. Those molecules predicted to bind better than a somewhat arbitrary threshold have been termed 'hits', with the most promising having negative binding energies on our scale.

A major goal of Phase 2 using the LigandFit software is to refine these data to produce a more manageable list of promising candidates for synthesis and testing which will of course be costly and require experimental collaborators including some from industry.

More Information about the Accelrys LigandFit software

The automatic docking of a flexible ligand into a protein active site is a critical step in the process of structure-based design.

LigandFit provides structure-based design capabilities including, active site finding, flexible docking and scoring capabilities, allowing evaluation of compounds against a receptor site. Scores from LigandFit provide direct insight into the complementary features of ligands and their potential as lead candidates.

LigandFit provides a cavity search algorithm for finding binding sites. Possible sites are proposed to the user who can choose location of a binding site, or to use a binding site already defined by a ligand. In both cases, the site model can be edited to suit the user's requirements. This is especially useful when a model or experimental structure of the protein has been obtained but the binding site has not been identified.

LigandFit uses the energy of the ligand-receptor complex to automatically find the best binding modes of the ligand to the receptor.

LigandFit uses a stochastic conformational search technique and retains the best results from the conformational sampling. A grid method is used for the evaluation of non bonded interactions between the rigid protein and the movable atoms from the flexible ligand. Grid methods have proven to be very effective for fast and accurate approximations of protein-ligand interactions compared to full force field representations (1-3).

  1. B.A. Luty, Z.R. Wasserman, P.F.W. Stouten, C.N. Hodge, M. Zacharias and J.A. McCammon, "Molecular Mechanics/Grid Method for the Evaluation of Ligand-Receptor Interactions", J. Comp. Chem. 16, 454-464, 1995.
  2. N. Pattabiraman, M. Levitt, T.E. Ferrin, and R. Langridge, "Computer Graphics in Real-time Docking with Energy Calculation and Minimization", J. Comp. Chem. 6, 432-436, 1985.
  3. E.C. Meng, B.K. Shoichet, I.D. Kuntz, "Automated Docking with Grid-Based Energy Evaluation", J. Comp. Chem. 13, 505-524, 1992.
  4. C.M. Venkatachalam, X. Jiang, T. Oldfield, and M. Waldman, "LigandFit: A Novel method for the Shape-Directed Rapid Docking of Ligands to Protein Active Sites", J. Mol. Graphics Modeling, 2002.

Ligand Fit

The new Ligand Fit software running in the UD.com agent.

Find out more about the LigandFit software running on your machine at the Ud.com web site.

http://www.grid.org/projects/cancer/ligandfit.htm

Accelrys have just published a research paper which has details more about LigandFit

C. M. Venkatachalam, X. Jiang, T. Oldfield and M. Waldman LigandFit: a novel method for the shape-directed rapid docking of ligands to protein active sites Journal of Molecular Graphics and Modelling Volume 21, Issue 4, January 2003, Pages 289-307

Abstract

We present a new shape-based method, LigandFit, for accurately docking ligands into protein active sites. The method employs a cavity detection algorithm for detecting invaginations in the protein as candidate active site regions. A shape comparison filter is combined with a Monte Carlo conformational search for generating ligand poses consistent with the active site shape. Candidate poses are minimized in the context of the active site using a grid-based method for evaluating protein–ligand interaction energies. Errors arising from grid interpolation are dramatically reduced using a new non-linear interpolation scheme. Results are presented for 19 diverse protein–ligand complexes. The method appears quite promising, reproducing the X-ray structure ligand pose within an RMS of 2 Å in 14 out of the 19 complexes. A high-throughput screening study applied to the thymidine kinase receptor is also presented in which LigandFit, when combined with LigScore, an internally developed scoring function [1], yields very good hit rates for a ligand pool seeded with known actives.

 

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