Optimization and Corroboration of the Regulatory Pathway of p42.3 Protein in the Pathogenesis of Gastric Carcinoma

Table 4

Protein data set gained by using the spherical coordinate space hierarchical similarity algorithm.

Protein name	Number of atoms	Number of amino acids	Type of amino acid	C	N	O	S	P	Spatial structure	Overall similarity
Weight allocation	0.0343	0.020	0.0603	0.0653	0.1062	0.1002	0.1480	0.1477	0.3183	—
S100A11	0.9708	0.9083	0.5294	0.9704	0.8677	0.9226	0.8000	1.0000	0.7384	0.8102
RASEF	0.6557	0.6881	0.9412	0.9929	0.9497	0.9069	0.8000	1.0000	0.6515	0.8068
GCN4	0.6241	0.2752	0.8235	0.9615	0.9271	0.9972	0.8000	1.0000	0.6231	0.7624
FKBP	−0.0255	0.9817	0.7647	0.9655	0.9067	0.9589	1.0000	1.0000	0.5055	0.7334
CENP-B	0.1144	0.4587	0.7647	0.9478	0.9172	0.9488	1.0000	1.0000	0.5535	0.7312
S100A2	0.2032	0.8532	0.5882	0.9611	0.8015	0.8642	0.8000	1.0000	0.5756	0.7046
CIB	0.1034	0.0826	0.8235	0.9497	0.8854	0.9778	0.8000	1.0000	0.5765	0.7026
GPD1	−0.5864	0.6789	0.7647	0.9561	0.8754	0.9505	0.8000	1.0000	0.5905	0.6944
PAK1	0.1521	−0.0275	0.6471	0.9575	0.8543	0.9398	0.8000	1.0000	0.5647	0.6716
ACTN1	−0.2701	−0.3761	0.8235	0.9596	0.9004	0.9721	1.0000	1.0000	0.5902	0.6883
APC	0.9720	0.5046	1.0000	0.9902	0.8994	0.8022	0	1.0000	0.4929	0.6709
GP41	0.4489	0.4128	0.7647	0.9504	0.9527	0.9699	0	1.0000	0.4517	0.6166
S100A12	0.2007	0.8257	0.2941	0.9603	0.8809	0.9300	0	1.0000	0.5668	0.6058
MACF	−0.7944	−0.3578	0.5294	0.9641	0.8395	0.8972	0.8000	1.0000	0.4992	0.5691
MST3	−0.4866	−0.5963	0.2941	0.9407	0.8296	0.9467	0	1.0000	0.5876	0.4997
CHP1	−1.7798	0.1376	0.8824	0.9796	0.9118	0.9021	0	1.0000	0.4568	0.4969
S100A1	−1.5122	0.8532	0.8824	0.5230	0.4119	0.5927	1.0000	1.0000	0.3412	0.4923