scholarly journals Quantitative Structure-Properties Relationships and Molecular Dynamic Simulations of Some Lubricant Additives (LAs)

2020 ◽  
Vol 3 (2) ◽  
pp. 36-45
Author(s):  
Usman Abdulfatai

The degradation of this zinc-dialkyl-dithiophosphate (ZDDP), at a temperature less than 246K often leads to the release of phosphorus, sulphur, and zinc which are indirectly responsible for the emission of poisonous gas from the exhaust pipe of the motor cars. Four QSPR mathematical models were generated from 39 structures of lubricant additives (LAs) and the structural features were found to corresponds to the coefficients of; internal correlation (R2 ) of 0.95, adjusted squared correlation (R2 adj) of 0.94, Cross-validation (Q2cv) of 0.90, and the external validation (R2 pred) of 0.54. The model suggests that new LAs with improved onset temperatures (Tonset) could be designed by interpreting and increasing the value of the molecular descriptor such as IC5 (Information Content index/neighborhood symmetry of 5-order) and Ve (V total size index/weighted by Sanderson electronegativity) and at the same time decreasing the values of RDF080m (Radial Distribution Function-080/weighted by mass), RDF110m (Radial Distribution Function-110/weighted by mass), P2v (2nd component shape directional WHIM index/weighted by Van der Waals volume) and R1e+ (R maximal autocorrelation of lag 1/weighted by Sanderson electronegativity). Moreover, the LAs with an experimental onset temperature of 351.6K agreed with the predicted onset temperature of 351.7K13a. And was also in agreement with the result of molecular dynamics simulations in which the LAs with the best dynamic binding energy of -2112.06 kcal/mol was tightly bounded on the simulated DLC mechanical coated boundary inter-surface and was also found to be better than the commercial LAs, ZDDP in term of binding energy and onset temperature. This investigation will help in rational additive design and synthesis of new and better selective Las

Author(s):  
Jurica Novak ◽  
Maria A. Grishina ◽  
Vladimir A. Potemkin

: In this letter the newly introduced approach based on the radial distribution function (RDF) weighted by the number of va-lence shell electrons is applied for a series of HIV-1 protease enzyme and its complexes with inhibitors to evaluate the influ-ence of hydrogen atoms on the performance of the model. The multiple linear regression method was used for the selection of the relevant descriptors. Two groups of residues having dominant contribution to the RDF descriptor are identified as relevant for the inhibition. In the first group are residues like Arg8, Asp25, Thr26, Gly27 and Asp29, which establish direct interaction with the inhibitor, while the second group consists of the amino acids at the interface of the two homodimer sub-units or with the solvent. The crucial motif pointed out by our approach as the most important for inhibition of the enzyme’s activity and present in all inhibitors is hydroxyl group that establish hydrogen bond with Asp25 side chain. Additionally, the comparison to the model without hydrogen showed that both models are of similar quality, but the downside of the current model is the need for the determination of residues’ protonation states.


2008 ◽  
Vol 47-50 ◽  
pp. 375-378 ◽  
Author(s):  
Zheng Han Hong ◽  
Shun Fa Hwang ◽  
Te Hua Fang

The mixing situation of Co atoms implanting onto Cu(001) substrate is investigated with regard to incident energy and substrate temperature by molecular dynamics. The results indicate that higher substrate temperature and/or incident energy will result in higher intermixing between the incident atoms and the substrate atoms. Furthermore, the value of the first peak of the radial distribution function (RDF) becomes lower and wider for the Co-Cu system as the substrate temperature and/or incident energy are increased.


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