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Fahimeh Ghasemi

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Study of CXCR4 Chemokine Receptor Inhibitors Using QSPR and Molecular Docking Methodologies

Tahereh Mostashari-Rad, Roya Arian, Houri Sadri,Alireza Mehridehnavi,Fahimeh Ghasemi,Afshin Fassihi

Journal of Theoretical and Computational Chemistry, (2019)

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Deep neural network in QSAR studies using deep belief network

Fahimeh Ghasemi,Alireza Mehridehnavi,Afshin Fassihi,Horacio Emilio Pérez Sánchez

Applied Soft Computing, (2018): 251-258

Cited by42EIBibtex

Neural network and deep-learning algorithms used in QSAR studies: merits and drawbacks

Fahimeh Ghasemi,Alireza Mehridehnavi,Alfonso Pérez-Garrido,Horacio Pérez-Sánchez

Drug Discovery Today, no. 10 (2018): 1784-1790

Cited by2Bibtex

The role of different sampling methods in improving biological activity prediction using deep belief network

Fahimeh Ghasemi,Afshin Fassihi,Horacio Pérez Sánchez,Alireza Mehri Dehnavi

Journal of Computational Chemistry, no. 4 (2017): 195-203

Cited by7EIBibtex

Improving Activity Prediction of Adenosine A2B Receptor Antagonists by Nonlinear Models

Fahimeh Ghasemi,Alireza Mehri,Jorge Peña-García,Helena den-Haan,Alfonso Pérez-Garrido,Afshin Fassihi,Horacio Pérez Sánchez

IWBBIO, pp.635-644, (2015)

EIBibtex

Improving Activity Prediction of Adenosine A(2B) Receptor Antagonists by Nonlinear Models

Fahimeh Ghasemi,Alireza Mehri, Jorge Pena-Garcia,Helena den-Haan, Alfonso Perez-Garrido,Afshin Fassihi,Horacio Perez-Sanchez

BIOINFORMATICS AND BIOMEDICAL ENGINEERING (IWBBIO 2015), PT II, (2015): 635-644

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