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Data do documentoTítuloAutor(es)
Jul-2012Computer-assisted assessment of potentially useful non-peptide HIV-1 protease inhibitorsDeeb, Omar; Cunha, Elaine F. F. da; Cormanich, Rodrigo A.; Ramalho, Teodorico C.; Freitas, Matheus P.
Set-2012MIA-QSAR modeling of the anti-HIV-1 protease activities and cytotoxicities of Ritonavir analoguesG. Silva, Daniel; P. Freitas, Matheus
2009Bi- and multilinear PLS coupled to MIA-QSAR in the prediction of antifungal activities of some benzothiazole derivativesBitencourt, Michelle; Freitas, Matheus P.
2021Double focus in the MIA-QSAR modeling of anti-influenza properties of 2-iminobenzimidazolines: pharmacology and toxicologyPereira, I. V.; Freitas, M. P. de
15-Abr-20152D-Discrete Fourier Transform: generalization of the MIA-QSAR strategy in molecular modelingBarigye, Stephen J.; Freitas, Matheus P.
Abr-2010MIA-QSAR coupled to principal component analysis-adaptive neuro-fuzzy inference systems (PCA-ANFIS) for the modeling of the anti-HIV reverse transcriptase activities of TIBO derivativesGoodarzi, Mohammad; Freitas, Matheus P.
2010MIA-QSAR modeling of activities of a series of AZT analogues: bi- and multilinear PLS regressionGoodarzi, Mohammad; Freitas, Matheus Puggina de
15-Mai-2021Different approaches to encode and model 3D information in a MIA-QSAR perspectiveDaré, Joyce K.; Freitas, Matheus P.
Mar-2009On the use of PLS and N-PLS in MIA-QSAR: Azole antifungalsGoodarzi, Mohammad; Freitas, Matheus P.
Out-2010MIA-QSAR, PC-Ranking and least-squares support-vector machines in the accurate prediction of the activities of Phosphodiesterase Type 5 (PDE-5) inhibitorsGoodarzi, Mohammad; Freitas, Matheus P.

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