SQE charge calculation and its applicability for proteins

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F20%3A00116809" target="_blank" >RIV/00216224:14740/20:00116809 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

SQE charge calculation and its applicability for proteins

Popis výsledku v původním jazyce

Partial atomic charges are real numbers approximating a distribution of electron density among atoms of the molecule. They find applications in computational chemistry, chemoinformatics, bioinformatics and nanoscience. Because the charges are not physico- chemical observables but rather a theoretical concept, a lot of methods for their calculation were developed. The most reliable are quantum mechanical (QM) methods, but their strong disadvantage is the high computational complexity. Faster alternatives to QM methods are empirical charge calculation methods. They calculate charges based on common physico-chemical laws, but they include empirical parameters. Currently, frequently used empirical methods are EEM, QEq, and EQEq. However, even these advanced and popular methods have their limitations – e.g., their application for peptides, proteins, and other homogeneous molecular systems is problematic. A recent and promising empirical charge calculation method is a Split-charge Equilibration method (SQE). In this work, we introduce SQE extension SQE+qp, adapted for peptides. We also present an implementation of SQE and SQE+qp via a web application Atomic Charge Calculator II. Finally, we also present a method optGM for the fast parameterization of empirical charge calculation methods.

Název v anglickém jazyce

SQE charge calculation and its applicability for proteins

Popis výsledku anglicky

Partial atomic charges are real numbers approximating a distribution of electron density among atoms of the molecule. They find applications in computational chemistry, chemoinformatics, bioinformatics and nanoscience. Because the charges are not physico- chemical observables but rather a theoretical concept, a lot of methods for their calculation were developed. The most reliable are quantum mechanical (QM) methods, but their strong disadvantage is the high computational complexity. Faster alternatives to QM methods are empirical charge calculation methods. They calculate charges based on common physico-chemical laws, but they include empirical parameters. Currently, frequently used empirical methods are EEM, QEq, and EQEq. However, even these advanced and popular methods have their limitations – e.g., their application for peptides, proteins, and other homogeneous molecular systems is problematic. A recent and promising empirical charge calculation method is a Split-charge Equilibration method (SQE). In this work, we introduce SQE extension SQE+qp, adapted for peptides. We also present an implementation of SQE and SQE+qp via a web application Atomic Charge Calculator II. Finally, we also present a method optGM for the fast parameterization of empirical charge calculation methods.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/LQ1601" target="_blank" >LQ1601: CEITEC 2020</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů