New trends in computational structure prediction of ligand-protein complexes for receptor-based drug design
- Paul A. RejtoAffiliated withAgouron Pharmaceuticals Inc.
- , Gennady M. VerkhivkerAffiliated withAgouron Pharmaceuticals Inc.
- , Daniel K. GehlhaarAffiliated withAgouron Pharmaceuticals Inc.
- , Stephan T. FreerAffiliated withAgouron Pharmaceuticals Inc.
A number of challenging computational problems arise in the field of structure-based drug design, including the estimation of ligand binding affinity and the de novo design of novel ligands. An important step toward solutions of these problems is the consistent and rapid prediction of the thermodynamically most favorable structure of a ligand—protein complex from the three-dimensional structures of its unbound ligand and protein components. This fundamental problem in molecular recognition is commonly known as the docking problem [1–3]. To solve this problem, two distinct conditions must be satisfied. The first is a thermodynamic requirement: the energy function used to describe ligand—protein binding must have the crystal structure of ligand—protein complexes as its global energy minimum. The second is a kinetic requirement: it must be possible to locate consistently and rapidly the global energy minimum on the ligand—protein binding energy landscape. While the first condition is necessary for successful structure prediction, it is by no means sufficient. Without kinetic accessibility, the global minimum cannot be reached during docking simulations, and computational structure prediction will fail. Here we review approaches to address both the kinetic and thermodynamic aspects of the docking problem.
- New trends in computational structure prediction of ligand-protein complexes for receptor-based drug design
- Book Title
- Computer Simulation of Biomolecular Systems
- Book Subtitle
- Theoretical and Experimental Applications
- Book Part
- Part VI
- pp 451-465
- Print ISBN
- Online ISBN
- Series Title
- Computer Simulations of Biomolecular Systems
- Series Volume
- Springer Netherlands
- Copyright Holder
- Springer Science+Business Media Dordrecht
- Additional Links
- Industry Sectors
- eBook Packages
- Editor Affiliations
- 1. Laboratory of Physical Chemistry, Swiss Federal Institute of Technology, ETH Zentrum
- 2. Amdyn Systems Inc.
- 3. Zeneca Pharmaceuticals
- Author Affiliations
- 4. Agouron Pharmaceuticals Inc., 3565 General Atomics Court, San Diego, CA, 92121-1121, USA
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