Afshin Fassihi

发表

Protein kinase inhibitors' classification using K-Nearest neighbor algorithm

Roya Arian, Amirali Hariri, Alireza Mehridehnavi, 2020, Comput. Biol. Chem..

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

Afshin Fassihi, Fahimeh Ghasemi, Horacio Emilio Pérez Sánchez, 2017, J. Comput. Chem..

Exploring a Model of a Chemokine Receptor/Ligand Complex in an Explicit Membrane Environment by Molecular Dynamics Simulation: The Human CCR1 Receptor

Afshin Fassihi, Mohsen Shahlaei, Armin Madadkar-Sobhani, 2011, J. Chem. Inf. Model..

Application of an expert system based on Genetic Algorithm-Adaptive Neuro-Fuzzy Inference System (GA-ANFIS) in QSAR of cathepsin K inhibitors

Afshin Fassihi, Lotfollah Saghaie, Mohsen Shahlaei, 2012, Expert Syst. Appl..

Deep neural network in QSAR studies using deep belief network

Alireza Mehridehnavi, Afshin Fassihi, Horacio Emilio Pérez Sánchez, 2018, Appl. Soft Comput..

Improving Activity Prediction of Adenosine A2B Receptor Antagonists by Nonlinear Models

Afshin Fassihi, Horacio Emilio Pérez Sánchez, Alireza Mehri Dehnavi, 2015, IWBBIO.

Acceleration of MPI mechanisms for sustainable HPC applications

Florin Isaila, Alexey Lastovetsky, Horacio Pérez-Sánchez, 2015, Supercomput. Front. Innov..

Computer-aided design of novel antibacterial 3-hydroxypyridine-4-ones: application of QSAR methods based on the MOLMAP approach

Afshin Fassihi, Maryam Gholami, Bahram Hemmateenejad, 2012, Journal of Computer-Aided Molecular Design.

Gp41 inhibitory activity prediction of theaflavin derivatives using ligand/structure-based virtual screening approaches

Afshin Fassihi, Lotfollah Saghaie, Tahereh Mostashari-Rad, 2019, Comput. Biol. Chem..

Applications of High Performance Computing in Bioinformatics, Computational Biology and Computational Chemistry

Hesham H. Ali, Mario Cannataro, Afshin Fassihi, 2015, IWBBIO.

Accelerating Big Data Analysis through LASSO-Random Forest Algorithm in QSAR Studies

Horacio Pérez-Sánchez, Alireza Mehridehnavi, Afshin Fassihi, 2022, Bioinform..

Comparative quantitative structure–activity relationship study of some 1-aminocyclopentyl-3-carboxyamides as CCR2 inhibitors using stepwise MLR, FA-MLR, and GA-PLS

Afshin Fassihi, Mohsen Shahlaei, Armin Madadkar-Sobhani, 2010, Medicinal Chemistry Research.

QSAR study of some CCR5 antagonists as anti-HIV agents using radial basis function neural network and general regression neural network on the basis of principal components

Afshin Fassihi, Mohsen Shahlaei, Armin Madadkar-Sobhani, 2011, Medicinal Chemistry Research.

Computational evaluation of some indenopyrazole derivatives as anticancer compounds; application of QSAR and docking methodologies

Afshin Fassihi, Mohsen Shahlaei, Armin Madadkar-Sobhani, 2013, Journal of enzyme inhibition and medicinal chemistry.

Qsar study of anthranilic acid sulfonamides as inhibitors of methionine aminopeptidase-2 using different chemometrics tools

Afshin Fassihi, Mohsen Shahlaei, Razieh Sabet, 2009 .

Application of partial least squares and radial basis function neural networks in multivariate imaging analysis-quantitative structure activity relationship: study of cyclin dependent kinase 4 inhibitors.

Afshin Fassihi, Mohsen Shahlaei, Armin Madadkar-Sobhani, 2010, Journal of molecular graphics & modelling.

Validated QSAR analysis of some diaryl substituted pyrazoles as CCR2 inhibitors by various linear and nonlinear multivariate chemometrics methods.

Afshin Fassihi, Mohsen Shahlaei, Elham Arkan, 2010, European journal of medicinal chemistry.

QSAR study of anthranilic acid sulfonamides as inhibitors of methionine aminopeptidase-2 using LS-SVM and GRNN based on principal components.

Afshin Fassihi, Mohsen Shahlaei, Razieh Sabet, 2010, European journal of medicinal chemistry.

Synthesis, Molecular Modelling and Biological Studies of 3-hydroxy-pyrane-4-one and 3-hydroxy-pyridine-4-one Derivatives as HIV-1 Integrase Inhibitors.

Zeger Debyser, Afshin Fassihi, Simone Brogi, 2019, Medicinal chemistry (Shariqah (United Arab Emirates)).

Application of PC-ANN and PC-LS-SVM in QSAR of CCR1 antagonist compounds: a comparative study.

Afshin Fassihi, Mohsen Shahlaei, Lotfollah Saghaie, 2010, European journal of medicinal chemistry.