Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김재관 | - |
dc.date.accessioned | 2016-10-31T00:46:40Z | - |
dc.date.available | 2016-10-31T00:46:40Z | - |
dc.date.issued | 2015-04 | - |
dc.identifier.citation | PLOS ONE, v. 10, Page. 1-10 | en_US |
dc.identifier.issn | 1932-6203 | - |
dc.identifier.uri | http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0122787 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/23999 | - |
dc.description.abstract | Structure-based virtual screening is one of the most important and common computational methods for the identification of predicted hit at the beginning of drug discovery. Pocket recognition and definition is frequently a prerequisite of structure-based virtual screening, reducing the search space of the predicted protein-ligand complex. In this paper, we present an optimal ligand shape descriptor for a pocket recognition algorithm based on the beta-shape, which is a derivative structure of the Voronoi diagram of atoms. We investigate six candidates for a shape descriptor for a ligand using statistical analysis: the minimum enclosing sphere, three measures from the principal component analysis of atoms, the van der Waals volume, and the beta-shape volume. Among them, the van der Waals volume of a ligand is the optimal shape descriptor for pocket recognition and best tunes the pocket recognition algorithm based on the beta-shape for efficient virtual screening. The performance of the proposed algorithm is verified by a benchmark test. | en_US |
dc.description.sponsorship | J-KK, C-IW, JC, and D-SK were supported by the National Research Foundation grant funded by MSIP (No. 2012R1A2A1A05026395), Republic of Korea. KL was supported by the grant (201400000002667) funded by Small and Medium Business Administration (SMBA), Republic of Korea. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. | en_US |
dc.language.iso | en | en_US |
dc.publisher | PUBLIC LIBRARY SCIENCE | en_US |
dc.subject | DRUG DISCOVERY | en_US |
dc.subject | BINDING-SITES | en_US |
dc.subject | VORONOI-DIAGRAM | en_US |
dc.subject | MOLECULAR RECOGNITION | en_US |
dc.subject | QUASI-TRIANGULATION | en_US |
dc.subject | PROTEIN SURFACES | en_US |
dc.subject | DOCKING | en_US |
dc.subject | CAVITIES | en_US |
dc.subject | INHIBITORS | en_US |
dc.subject | COMPLEX | en_US |
dc.title | Optimal Ligand Descriptor for Pocket Recognition Based on the Beta-Shape | en_US |
dc.type | Article | en_US |
dc.relation.volume | 10 | - |
dc.identifier.doi | 10.1371/journal.pone.0122787 | - |
dc.relation.page | 1-10 | - |
dc.relation.journal | PLOS ONE | - |
dc.contributor.googleauthor | Kim, Jae-Kwan | - |
dc.contributor.googleauthor | Won, Chung-In | - |
dc.contributor.googleauthor | Cha, Jehyun | - |
dc.contributor.googleauthor | Lee, Kichun | - |
dc.contributor.googleauthor | Kim, Deok-Soo | - |
dc.relation.code | 2015008685 | - |
dc.sector.campus | S | - |
dc.sector.daehak | DIVISION OF INTERDISCIPLINARY INDUSTRIAL STUDIES[S] | - |
dc.identifier.pid | firelion | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.