Type
Text
Type
Thesis
Advisor
DIll, Ken A. | Simmerling, Carlos | Green, David F. | .
Date
2016-12-01
Keywords
DOCK refinement, MELD | Chemistry
Department
Department of Chemistry
Language
en_US
Source
This work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree.
Identifier
http://hdl.handle.net/11401/77038
Publisher
The Graduate School, Stony Brook University: Stony Brook, NY.
Format
application/pdf
Abstract
In order to bridge the computational gap between DOCK and MD-based methods, a pipeline was designed to combine external information derived from DOCK with replica exchange molecular dynamics using MELD, an algorithm recently developed by our lab. Our goal was to predict the lowest free energy binding pose within the DOCK ensemble, therefore enabling us to refine DOCK results in cases where the correct structure is incorrectly scored. Our method was tested on 8 such ‘scoring failures’ found in the DOCK database SB2012. Three protocols of extracting structural information from DOCK ensembles were designed and tested. Crystal-like poses were correctly identified from the DOCK ensemble using all three protocols. In particular, the prediction within 3Å of the crystal pose using information derived from “Automatically cluster and choose based on KGS penalty function†protocol demonstrated the ability of this pipeline to refine DOCK results. | 59 pages
Recommended Citation
Liu, Cong, "MELD application on refining DOCK results" (2016). Stony Brook Theses and Dissertations Collection, 2006-2020 (closed to submissions). 2887.
https://commons.library.stonybrook.edu/stony-brook-theses-and-dissertations-collection/2887