Detailed Information on Publication Record
2017
Validation and analyses of biomacromolecular ligand conformations
ŽUFANOVÁ, Zuzana, Radka SVOBODOVÁ VAŘEKOVÁ and Michaela WIMMEROVÁBasic information
Original name
Validation and analyses of biomacromolecular ligand conformations
Authors
ŽUFANOVÁ, Zuzana, Radka SVOBODOVÁ VAŘEKOVÁ and Michaela WIMMEROVÁ
Edition
CEITEC PhD Retreat II, 2017
Other information
Language
English
Type of outcome
Konferenční abstrakt
Field of Study
10600 1.6 Biological sciences
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
Organization unit
Faculty of Science
ISBN
978-80-210-8550-3
Keywords in English
structure validation; ligand conformation; MotiveValidator; ValidatorDB
Změněno: 25/1/2018 14:38, Mgr. Zuzana Hammerová
Abstract
V originále
With the immense increase in biomolecular structural data stored in databases in recent years, validation methods have been developed to assess the quality and accuracy of the biomolecular structures. Currently, most the structure validation programs focus on the validation of biomacromolecules as opposed to small ligands. This progression has been primarily due to complications arising from the large chemical variability of ligands. Existing programs for ligand validation prioritize evaluation of the correctness of specific properties such as torsion angles, bond length, and atom clashes, or focus on annotation validation (validation by comparing the structure with a correct model). Examples of validation programs using annotation validation are MotiveValidator (MV) and ValidatorDB (VDB), both of which examine the ligand structure completeness, ligand chirality, and ligand annotation errors. In this work, we focus on extending the functionality of MV and VDB by developing methodology to validate the ligand conformation. Our methodology is based on obtaining correct models from the literature and other existing databases, and comparing the two structures using Ertl chemical scaffolds. Ertl scaffolds will allow us to perform more accurate analysis, as they feature information about key parts of ligands such as the central part of the molecule without acyclic parts, and exocyclic double bonds.