surface comparison
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Author(s):  
Zi-qi Wang ◽  
Zong-duan Zhang ◽  
Xu-ting Hu ◽  
Zhao-liang Zhang ◽  
Qin-tuo Pan


Author(s):  
Felipe dos Anjos Rodrigues Campos ◽  
Leonardo Rosa Ribeiro da Silva ◽  
Pedro Henrique Pires França ◽  
Weber Silva


Materials ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2177 ◽  
Author(s):  
Nuno Cruz ◽  
Maria Inês Martins ◽  
José Domingos Santos ◽  
Javier Gil Mur ◽  
João Paulo Tondela

The use of individualized titanium meshes has been referred to in scientific literature since 2011. There are many advantages to its use, however, the main complications are related to early or late exposures. As some aspects such as its surface properties have been pointed out to influence the soft tissue response, this study was designed to compare the surface characteristics of three commercially available individualized titanium meshes between them and according to the manufacturer’s specifications. The results from the scanning electron microscopy, energy-dispersive X-ray spectroscopy, X-ray diffraction and the contact profilometry measurements were analyzed and cross-checked. It was discovered that, the BoneEasy’s post-processing superficial treatment was more refined, as it delivers the mesh with the lowest Ra value, 0.61 ± 0.14 µm, due to the applied electropolishing. On the other hand, the Yxoss CBR® mesh from ReOss® was sandblasted, presenting an extremely rough surface with a Ra of 6.59 ± 0.76 µm.



2020 ◽  
Vol 36 (10) ◽  
pp. 3056-3063
Author(s):  
Yuan Zhang ◽  
Xing Sui ◽  
Scott Stagg ◽  
Jinfeng Zhang

Abstract Motivation Global protein surface comparison (GPSC) studies have been limited compared to other research works on protein structure alignment/comparison due to lack of real applications associated with GPSC. However, the technology advances in cryo-electron tomography (CET) have made methods to identify proteins from their surface shapes extremely useful. Results In this study, we developed a new method called Farthest point sampling (FPS)-enhanced Triangulation-based Iterative-closest-Point (ICP) (FTIP) for GPSC. We applied it to protein classification using only surface shape information. Our method first extracts a set of feature points from protein surfaces using FPS and then uses a triangulation-based efficient ICP algorithm to align the feature points of the two proteins to be compared. Tested on a benchmark dataset with 2329 proteins using nearest-neighbor classification, FTIP outperformed the state-of-the-art method for GPSC based on 3D Zernike descriptors. Using real and simulated cryo-EM data, we show that FTIP could be applied in the future to address problems in protein identification in CET experiments. Availability and implementation Programs/scripts we developed/used in the study are available at http://ani.stat.fsu.edu/∼yuan/index.fld/FTIP.tar.bz2. Supplementary information Supplementary data are available at Bioinformatics online.



2020 ◽  
Vol 118 (3) ◽  
pp. 501a
Author(s):  
Yuan Zhang ◽  
Xin Sui ◽  
Scott M. Stagg ◽  
Jinfeng Zhang


2020 ◽  
Vol 22 (29) ◽  
pp. 16862-16876
Author(s):  
S. Pantaleone ◽  
A. Rimola ◽  
M. Sodupe

PBE-D2* optimized structure of Arginine adsorbed on TiO2 (110) rutile surface (left) and adsorption energies of 11 amino acids upon adsorption on TiO2 (110) rutile (squares) and (101) anatase (circles).



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