RAČEK, Tomáš, Jana PAZÚRIKOVÁ, Radka SVOBODOVÁ VAŘEKOVÁ, Stanislav GEIDL, Aleš KŘENEK, Francesco Luca FALGINELLA, Vladimír HORSKÝ, Václav HEJRET and Jaroslav KOČA. NEEMP: software for validation, accurate calculation and fast parameterization of EEM charges. Journal of Cheminformatics. London: BIOMED CENTRAL LTD, 2016, vol. 8, October, p. nestránkováno, 14 pp. ISSN 1758-2946. Available from: https://dx.doi.org/10.1186/s13321-016-0171-1.
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Basic information
Original name NEEMP: software for validation, accurate calculation and fast parameterization of EEM charges
Authors RAČEK, Tomáš (203 Czech Republic, belonging to the institution), Jana PAZÚRIKOVÁ (703 Slovakia, belonging to the institution), Radka SVOBODOVÁ VAŘEKOVÁ (203 Czech Republic, belonging to the institution), Stanislav GEIDL (203 Czech Republic, belonging to the institution), Aleš KŘENEK (203 Czech Republic, belonging to the institution), Francesco Luca FALGINELLA (380 Italy, belonging to the institution), Vladimír HORSKÝ (203 Czech Republic, belonging to the institution), Václav HEJRET (203 Czech Republic, belonging to the institution) and Jaroslav KOČA (203 Czech Republic, guarantor, belonging to the institution).
Edition Journal of Cheminformatics, London, BIOMED CENTRAL LTD, 2016, 1758-2946.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10403 Physical chemistry
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: 4.220
RIV identification code RIV/00216224:14740/16:00091249
Organization unit Central European Institute of Technology
Doi http://dx.doi.org/10.1186/s13321-016-0171-1
UT WoS 000385466000002
Keywords in English Partial atomic charges; Electronegativity equalization method; EEM; EEM parameterization; wwPDB CCD database
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Eva Špillingová, učo 110713. Changed: 22/2/2017 10:46.
Abstract
Background The concept of partial atomic charges was first applied in physical and organic chemistry and was later also adopted in computational chemistry, bioinformatics and chemoinformatics. The electronegativity equalization method (EEM) is the most frequently used approach for calculating partial atomic charges. EEM is fast and its accuracy is comparable to the quantum mechanical charge calculation method for which it was parameterized. Several EEM parameter sets for various types of molecules and QM charge calculation approaches have been published and new ones are still needed and produced. Methodologies for EEM parameterization have been described in a few articles, but a software tool for EEM parameterization and EEM parameter sets validation has not been available until now. Results We provide the software tool NEEMP (http://ncbr.muni.cz/NEEMP), which offers three main functionalities: EEM parameterization [via linear regression (LR) and differential evolution with local minimization (DE-MIN)]; EEM parameter set validation (i.e., validation of coverage and quality) and EEM charge calculation. NEEMP functionality is shown using a parameterization and a validation case study. The parameterization case study demonstrated that LR is an appropriate approach for smaller and homogeneous datasets and DE-MIN is a suitable solution for larger and heterogeneous datasets. The validation case study showed that EEM parameter set coverage and quality can still be problematic. Therefore, it makes sense to verify the coverage and quality of EEM parameter sets before their use, and NEEMP is an appropriate tool for such verification. Moreover, it seems from both case studies that new EEM parameterizations need to be performed and new EEM parameter sets obtained with high quality and coverage for key structural databases. Conclusion We provide the software tool NEEMP, which is to the best of our knowledge the only available software package that enables EEM parameterization and EEM parameter set validation. Additionally, its DE-MIN parameterization method is an innovative approach, developed by ourselves and first published in this work. In addition, we also prepared four high-quality EEM parameter sets tailored to ligand molecules.
Links
LM2015085, research and development projectName: CERIT Scientific Cloud (Acronym: CERIT-SC)
Investor: Ministry of Education, Youth and Sports of the CR, CERIT Scientific Cloud
LQ1601, research and development projectName: CEITEC 2020 (Acronym: CEITEC2020)
Investor: Ministry of Education, Youth and Sports of the CR
MUNI/A/0945/2015, interní kód MUName: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace V.
Investor: Masaryk University, Category A
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