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

Table 6 Weighted normalized decision matrix

Alternatives	ReZG₁	ReZG₂	SO	ABC	mMsde	ISDD
Cladribine	0.013822	0.122714	0.019651	0.029207	0.015649	0.022348
Teriflunomide	0.013094	0.096276	0.016825	0.026914	0.015259	0.017052
Mitoxantrone	0.020005	0.192052	0.029441	0.094399	0.023468	0.037582
Masitinib	0.026188	0.22747	0.035045	0.056799	0.028556	0.044035
Fingolimod	0.007275	0.041404	0.007174	0.013118	0.007315	0.008928
Dimethyl Fumarate	0.015277	0.108747	0.017583	0.015052	0.015607	0.022259
Laquinimood	0.018186	0.156635	0.024416	0.038338	0.018097	0.025519
Diroximel Fumarate	0.013094	0.095278	0.015324	0.026077	0.013753	0.018663
Siponimod	0.025825	0.213004	0.034129	0.054646	0.028418	0.040207
Ozanimod	0.021824	0.189558	0.029088	0.046472	0.023336	0.036427
Ponesimod	0.022915	0.182574	0.028262	0.046771	0.023756	0.035896
Cyclophosphamide	0.010184	0.074327	0.011948	0.019936	0.010357	0.014868

ISSN: 2661-801X