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

Table 12 Weighted normalized decision matrix

Alternatives	ReZG₁	ReZG₂	SO	ABC	mMsde	ISDD
Cladribine	0.033325	0.17862	0.030341	0.069572	0.037495	0.051178
Teriflunomide	0.035176	0.227671	0.035437	0.075499	0.036561	0.039051
Mitoxantrone	0.023025	0.114131	0.020252	0.021526	0.056229	0.086066
Masitinib	0.017588	0.096361	0.017014	0.035775	0.068421	0.100844
Fingolimod	0.063317	0.529403	0.083116	0.154899	0.017526	0.020446
Dimethyl Fumarate	0.030151	0.201562	0.033911	0.134998	0.037395	0.050975
Laquinimood	0.025327	0.139938	0.02442	0.053002	0.043361	0.058441
Diroximel Fumarate	0.035176	0.230055	0.038909	0.077923	0.032952	0.042739
Siponimod	0.017836	0.102905	0.01747	0.037185	0.06809	0.092077
Ozanimod	0.021106	0.115633	0.020498	0.043725	0.055913	0.083421
Ponesimod	0.020101	0.120056	0.021097	0.043446	0.056919	0.082203
Cyclophosphamide	0.045227	0.294902	0.049902	0.101924	0.024815	0.034048

ISSN: 2661-801X