A computational approach to drug design for multiple sclerosis via QSPR modeling, chemical graph theory, and multi-criteria decision analysis

Table 5 Decision matrix

Alternatives	ReZG₁	ReZG₂	SO	ABC	mMsde	ISDD
Cladribine	0.218293	0.231797	0.236434	0.188554	0.228719	0.221606
Teriflunomide	0.206804	0.181857	0.202434	0.173752	0.223019	0.169098
Mitoxantrone	0.315951	0.362772	0.354221	0.60942	0.342991	0.372676
Masitinib	0.413609	0.429672	0.421637	0.366682	0.41736	0.436668
Fingolimod	0.114891	0.078208	0.086309	0.084688	0.106905	0.088535
Dimethyl Fumarate	0.241272	0.205414	0.211542	0.097173	0.228105	0.220729
Laquinimood	0.287228	0.295871	0.293758	0.247501	0.2645	0.253057
Diroximel Fumarate	0.206804	0.179972	0.184372	0.168347	0.201006	0.185064
Siponimod	0.407864	0.402347	0.410622	0.352782	0.415343	0.398703
Ozanimod	0.344674	0.35806	0.349975	0.300012	0.341062	0.361224
Ponesimod	0.361908	0.344869	0.340036	0.301943	0.347201	0.355951
Cyclophosphamide	0.160848	0.140397	0.143756	0.128705	0.151369	0.147431

ISSN: 2661-801X