A modified electronegativity equalization method for fast and accurate calculation of atomic charges in large biological molecules

Literature Information

Publication Date 2009-05-26
DOI 10.1039/B821696G
Impact Factor 3.676
Authors

Yongzhong Ouyang, Fei Ye, Yizeng Liang


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Abstract

To further extend the EEM approach to improve its accuracy, a new approach, in which the different connectivities and hybridized states are introduced to represent the different chemical environments, has been developed. The C, O and N atoms are distinguished between different hybridized states. Different states of hydrogen atoms are defined according to their different connectivities. Furthermore, the sp2 carbons in the aromatic rings are also separated from the other sp2 carbons. Geometries and NPA charges are calculated at the B3LYP/6-31G* level, and the effective electronegativity and hardness values could be calibrated with the help of a training set of 141 organic molecules using the Differential Evolution (DE) algorithm. The quality of the modified EEM charges is evaluated by comparison with the B3LYP/6-31G* charges calculated for a series of polypeptides, not contained in the training set. For further comparison, the atomic parameters of the original EEM without including chemical environments are recalibrated under the same conditions. It is found that the accuracy of the modified EEM method improves significantly as compared to that of the original EEM method.

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Source Journal

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
Articles per Year: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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