2016
NEEMP: software for validation, accurate calculation and fast parameterization of EEM charges
RAČEK, Tomáš, Jana PAZÚRIKOVÁ, Radka SVOBODOVÁ VAŘEKOVÁ, Stanislav GEIDL, Aleš KŘENEK et. al.Základní údaje
Originální název
NEEMP: software for validation, accurate calculation and fast parameterization of EEM charges
Autoři
RAČEK, Tomáš (203 Česká republika, domácí), Jana PAZÚRIKOVÁ (703 Slovensko, domácí), Radka SVOBODOVÁ VAŘEKOVÁ (203 Česká republika, domácí), Stanislav GEIDL (203 Česká republika, domácí), Aleš KŘENEK (203 Česká republika, domácí), Francesco Luca FALGINELLA (380 Itálie, domácí), Vladimír HORSKÝ (203 Česká republika, domácí), Václav HEJRET (203 Česká republika, domácí) a Jaroslav KOČA (203 Česká republika, garant, domácí)
Vydání
Journal of Cheminformatics, London, BIOMED CENTRAL LTD, 2016, 1758-2946
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
10403 Physical chemistry
Stát vydavatele
Velká Británie a Severní Irsko
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 4.220
Kód RIV
RIV/00216224:14740/16:00091249
Organizační jednotka
Středoevropský technologický institut
UT WoS
000385466000002
Klíčová slova anglicky
Partial atomic charges; Electronegativity equalization method; EEM; EEM parameterization; wwPDB CCD database
Štítky
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 22. 2. 2017 10:46, Mgr. Eva Špillingová
Anotace
V originále
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.
Návaznosti
LM2015085, projekt VaV |
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LQ1601, projekt VaV |
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MUNI/A/0945/2015, interní kód MU |
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