Abstract
Molecular docking is the key ingredient of virtual drug screening, a promising and cost-effective approach for finding new drugs. A critical limitation of this approach is the inadequate sampling efficiency of both ligand and/or receptor conformations for finding the lowest energy bound state. To circumvent this limitation, we develop a protein-ligand docking methodology capable of incorporating structural constraints, experimentally derived or theoretically predicted, to improve accuracy and efficiency. We develop a web server with a user-friendly online graphical interface as a platform for accurate and efficient protein-ligand molecule docking.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 2509-2515 |
| Number of pages | 7 |
| Journal | Journal of Chemical Information and Modeling |
| Volume | 59 |
| Issue number | 6 |
| DOIs | |
| State | Published - Jun 24 2019 |
All Science Journal Classification (ASJC) codes
- General Chemistry
- General Chemical Engineering
- Computer Science Applications
- Library and Information Sciences
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