GEIDL, Stanislav, Tomáš BOUCHAL, Tomáš RAČEK, Radka SVOBODOVÁ VAŘEKOVÁ, Václav HEJRET, Aleš KŘENEK, Ruben ABAGYAN and Jaroslav KOČA. High-quality and universal empirical atomic charges for chemoinformatics applications. Journal of Cheminformatics. London: BIOMED CENTRAL LTD, 2015, vol. 7, DEC, p. 1-10. ISSN 1758-2946. Available from: https://dx.doi.org/10.1186/s13321-015-0107-1.
Other formats:   BibTeX LaTeX RIS
Basic information
Original name High-quality and universal empirical atomic charges for chemoinformatics applications
Authors GEIDL, Stanislav (203 Czech Republic, belonging to the institution), Tomáš BOUCHAL (203 Czech Republic, belonging to the institution), Tomáš RAČEK (203 Czech Republic, belonging to the institution), Radka SVOBODOVÁ VAŘEKOVÁ (203 Czech Republic, belonging to the institution), Václav HEJRET (203 Czech Republic, belonging to the institution), Aleš KŘENEK (203 Czech Republic, belonging to the institution), Ruben ABAGYAN (840 United States of America) and Jaroslav KOČA (203 Czech Republic, guarantor, belonging to the institution).
Edition Journal of Cheminformatics, London, BIOMED CENTRAL LTD, 2015, 1758-2946.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10600 1.6 Biological sciences
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 3.949
RIV identification code RIV/00216224:14740/15:00081211
Organization unit Central European Institute of Technology
Doi http://dx.doi.org/10.1186/s13321-015-0107-1
UT WoS 000366278000001
Keywords in English Partial atomic charges; Electronegativity Equalization Method; EEM; Quantum mechanics; QM; Drug-like molecules
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Olga Křížová, učo 56639. Changed: 29/3/2016 11:06.
Abstract
Background: Partial atomic charges describe the distribution of electron density in a molecule and therefore provide clues to the chemical behaviour of molecules. Recently, these charges have become popular in chemoinformatics, as they are informative descriptors that can be utilised in pharmacophore design, virtual screening, similarity searches etc. Especially conformationally-dependent charges perform very successfully. In particular, their fast and accurate calculation via the Electronegativity Equalization Method (EEM) seems very promising for chemoinformatics applications. Unfortunately, published EEM parameter sets include only parameters for basic atom types and they often miss parameters for halogens, phosphorus, sulphur, triple bonded carbon etc. Therefore their applicability for drug-like molecules is limited. Results: We have prepared six EEM parameter sets which enable the user to calculate EEM charges in a quality comparable to quantum mechanics (QM) charges based on the most common charge calculation schemes (i.e., MPA, NPA and AIM) and a robust QM approach (HF/6-311G, B3LYP/6-311G). The calculated EEM parameters exhibited very good quality on a training set (R2 > 0.9) and also on a test set (R2 > 0.93). They are applicable for at least 95% of molecules in key drug databases (Drugbank, ChEMBL, Pubchem and ZINC) compared to less than 60% of the molecules from these databases for which currently used EEM parameters are applicable. Conclusions: We developed EEM parameters enabling the fast calculation of high-quality partial atomic charges for almost all drug-like molecules. In parallel, we provide a software solution for their easy computation. It enables the direct application of EEM in chemoinformatics.
Links
ED1.1.00/02.0068, research and development projectName: CEITEC - central european institute of technology
EE2.3.20.0042, research and development projectName: Internacionalizace programu Strukturní biologie s důrazem na rozvoj nových směrů výzkumu
EE2.3.30.0009, research and development projectName: Zaměstnáním čerstvých absolventů doktorského studia k vědecké excelenci
GA13-25401S, research and development projectName: Studium proteinů z patogenů zapojených do rozpoznávání hostitelského organismu
Investor: Czech Science Foundation
MUNI/A/1159/2014, interní kód MUName: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace IV.
Investor: Masaryk University, Category A
PrintDisplayed: 2/5/2024 20:14