Gaussian docking functions

Biopolymers - Tập 68 Số 1 - Trang 76-90 - 2003
Mark McGann1, Harold R. Almond2, Anthony Nicholls1, Jennifer Grant3, Frank J. Schoenen4
1Open Eye Scientific Software, Santa Fe, NM 87501, USA.
2Johnson & Johnson Pharmaceutical Research and Development LLC, Springhouse, PA 19477, USA
3Astra Zeneca Pharmaceuticals, EST(Chem) 26F17, Mereside, Macclesfield, Cheshire, SK10 4TG UK
4Johnson & Johnson Pharmaceutical Research and Development, LCC, 1000 Route 202, Raritan, NJ 08869

Tóm tắt

AbstractA shape‐based Gaussian docking function is constructed which uses Gaussian functions to represent the shapes of individual atoms. A set of 20 trypsin ligand–protein complexes are drawn from the Protein Data Bank (PDB), the ligands are separated from the proteins, and then are docked back into the active sites using numerical optimization of this function. It is found that by employing this docking function, quasi‐Newton optimization is capable of moving ligands great distances [on average 7 Å root mean square distance (RMSD)] to locate the correctly docked structure. It is also found that a ligand drawn from one PDB file can be docked into a trypsin structure drawn from any of the trypsin PDB files. This implies that this scoring function is not limited to more accurate x‐ray structures, as is the case for many of the conventional docking methods, but could be extended to homology models. © 2002 Wiley Periodicals, Inc. Biopolymers 68: 76–90, 2003

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