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Publications in ISI Journals
1- Mohammad H Fatemi, Afsane Heidari, Sajjad Gharaghani “QSAR prediction of HIV-1 protease inhibitory activities using docking derived molecular descriptors” Journal of Theoretical Biology (2015) Vol. 369, 13–22
2- Saghi Sepehri, Sajjad Gharaghani, Lotfollah Saghaie, Mohammad R. Aghasadeghi, Afshin Fassihi “QSAR and docking studies of some 1,2,3,4- tetrahydropyrimidines: evaluation of gp41 as possible target for anti-HIV-1 activity”. Med Chem Res (2015) VOL 24,1707–1724.
3- Sajjad Gharaghani, Taghi Khayamian*, Malihe Ebrahimi “Multitarget fragment-based design of novel inhibitors for AChE and SSAO/VAP-1 enzymes”. Journal of Chemometrics (2013) Vol. 27, No. 10, 297-305.
4- Sajjad Gharaghani, Taghi Khayamian*, Malihe Ebrahimi, “Molecular dynamics simulation study and molecular docking descriptors in structurebased QSAR on acetylcholinesterase (AChE) inhibitors”. SAR and QSAR in Environmental Research, (2013) Vol. 24, No. 9, 773–794.
5- Malihe Ebrahimi, Taghi Khayamian*, Sajjad Gharaghani “Interactions between activin-like kinase 5 (ALK5) receptor and its inhibitors and the construction of a structure-based QSAR model using docking-based descriptors”. Journal of Brazilian Chemical Society, (2012) Vol. 23, No. 11, 2043-2053.
6- Fayezeh Samari, Mojtaba Shamsipur, Bahram Hemmateenejad*, Taghi Khayamian, Sajjad Gharaghani, “Investigation of the Interaction between Amodiaquine and Human Serum Albumin by Fluorescence Spectroscopy and Molecular Modeling”. European Journal of Medicinal Chemistry (2012) 54:255-263.
7- Sajjad Gharaghani, Taghi Khayamian*, Fatemeh Keshavarz, “Docking, Molecular Dynamics Simulation Studies, and Structure-Based QSAR Model on Cytochrome P450 2A6 Inhibitors”. Structural Chemistry (2012) 23:341– 350.
8- Sajjad Gharaghani, Taghi Khayamian*, Fatemeh Keshavarz, “A Structurebased QSAR and Docking Study on Imidazo[1,5-a][1,2,4]-triazolo[1,5- d][1,4,]benzodiazepines as Selective GABAA a5 Inverse Agonists”. Chemical Biology and Drug Design (2011) 78: 612–621.
9- Mohammad Hossein Fatemi∗, Sajjad Gharaghani, Samahe Mohammadkhani, Zeinab Rezaie, “Prediction of selectivity coefficients of univalent anions for anion-selective electrode using support vector machine”. Electrochimica Acta (2008) 4276-4283.
10- Mohammad Hossein Fatemi*, Sajjad Gharaghani, “A novel QSAR model for prediction of apoptosis-inducing activity of 4-aryl-4-H-chromenes based on support vector machine”. Bioorganic and Medicinal Chemistry (2007) 7746-7754.
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Research Fields
Computational Drug Design (ligand-based, structure-based and fragmentbased)
Systems Pharmacology
Chemogenomics
Chemoinformatics
Bioinformatics and Computational Biology
Drug-Target and Biological Networks
Chemometrics
Machine Learning Methods in Drug Discovery
Quantitative Structure-Activity Relationship (QSAR)
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