Sajjad Gharaghani

发表

Inhibition of GSK_3β by Iridoid Glycosides of Snowberry (Symphoricarpos albus) Effective in the Treatment of Alzheimer’s Disease Using Computational Drug Design Methods

S. Gharaghani, Javad Khalili Fard, Parastou Kordestani-Moghadam, 2021, Frontiers in Chemistry.

Revealing Key Structural Features for Developing New Agonists Targeting δ Opioid Receptor: Combined Machine Learning and Molecular Modeling Perspective

Z. Fakhar, O. Munro, Sorena Sarmadi, 2024, Medicine in Drug Discovery.

Sequential and Mixed Genetic Algorithm and Learning Automata (SGALA, MGALA) for Feature Selection in QSAR

Ali Masoudi-Nejad, Yosef Masoudi-Sobhanzadeh, Sajjad Gharaghani, 2017, Iranian journal of pharmaceutical research : IJPR.

Hybrid docking-QSAR studies of DPP-IV inhibition activities of a series of aminomethyl-piperidones

Sajjad Gharaghani, Mohammad Hossein Fatemi, Zohreh Amini, 2016, Comput. Biol. Chem..

A robust graph-based semi-supervised sparse feature selection method

Mohammad Ali Zare Chahooki, Sajjad Gharaghani, Razieh Sheikhpour, 2020, Inf. Sci..

Sparse feature selection in multi-target modeling of carbonic anhydrase isoforms by exploiting shared information among multiple targets

Sajjad Gharaghani, Elmira Nazarshodeh, Razieh Sheikhpour, 2020 .

A novel QSAR model for prediction of apoptosis-inducing activity of 4-aryl-4-H-chromenes based on support vector machine.

Sajjad Gharaghani, Mohammad Hossein Fatemi, S. Gharaghani, 2007, Bioorganic & medicinal chemistry.

Design of potential anti-tumor PARP-1 inhibitors by QSAR and molecular modeling studies

S. Gharaghani, S. Riahi, Zeinab Abbasi-Radmoghaddam, 2020, Molecular Diversity.

Synthesis, characterization and biological application of four novel metal-Schiff base complexes derived from allylamine and their interactions with human serum albumin: Experimental, molecular docking and ONIOM computational study.

S. Gharaghani, H. A. Rudbari, S. Tangestaninejad, 2016, Journal of photochemistry and photobiology. B, Biology.

Docking, molecular dynamics simulation studies, and structure-based QSAR model on cytochrome P450 2A6 inhibitors

S. Gharaghani, T. Khayamian, F. Keshavarz, 2012, Structural Chemistry.

A Structure‐based QSAR and Docking Study on Imidazo[1,5‐a][1,2,4]‐triazolo[1,5‐d][1,4,]benzodiazepines as Selective GABAAα5 Inverse Agonists

S. Gharaghani, T. Khayamian, F. Keshavarz, 2011, Chemical biology & drug design.

Rational approaches to discover SARS-CoV-2/ACE2 interaction inhibitors: Pharmacophore-based virtual screening, molecular docking, molecular dynamics and binding free energy studies

S. Gharaghani, A. Jafari, M. Namazi, 2023, Journal of Molecular Liquids.

Rational approaches to discover SARS-CoV-2/ACE2 interaction inhibitors: from pharmacophore-based virtual screening to molecular dynamics

Sajjad Gharaghani, Mohsen Yazdani, Ameneh Jafari, 2021 .

CCL-DTI: contributing the contrastive loss in drug–target interaction prediction

Hossein Banadkuki, Parvin Razzaghi, Karim Abbasi, 2024, BMC Bioinformatics.

TripletMultiDTI: Multimodal representation learning in drug-target interaction prediction with triplet loss function

S. Gharaghani, Parvin Razzaghi, Karim Abbasi, 2023, Expert Syst. Appl..

AutoDTI++: deep unsupervised learning for DTI prediction by autoencoders

Mohammad Ali Zare Chahooki, Sajjad Gharaghani, Karim Abbasi, 2021, BMC Bioinformatics.

Pharmacophore model, docking, QSAR, and molecular dynamics simulation studies of substituted cyclic imides and herbal medicines as COX-2 inhibitors

S. Gharaghani, Ahmad Hassan, Nathalie Moussa, 2021, Heliyon.

An efficient nano-biocatalyst for lignocellulosic biomass hydrolysis: Xylanase immobilization on organically modified biogenic mesoporous silica nanoparticles.

S. Gharaghani, G. Salekdeh, L. Ma'mani, 2020, International journal of biological macromolecules.

Prediction of selectivity coefficients of univalent anions for anion-selective electrode using support vector machine

Sajjad Gharaghani, Mohammad Hossein Fatemi, S. Gharaghani, 2008 .

Identification of repurposed drugs targeting significant long non-coding RNAs in the cross-talk between diabetes mellitus and Alzheimer’s disease

S. Gharaghani, C. Eslahchi, Koorosh Shahpasand, 2022, Scientific Reports.

Exploring the role of non-coding RNAs as potential candidate biomarkers in the cross-talk between diabetes mellitus and Alzheimer’s disease

S. Gharaghani, C. Eslahchi, Koorosh Shahpasand, 2022, Frontiers in Aging Neuroscience.

QSAR prediction of HIV-1 protease inhibitory activities using docking derived molecular descriptors.

S. Gharaghani, M. Fatemi, A. Heidari, 2015, Journal of theoretical biology.

Drug-Target Binding Affinity Prediction Using Transformers

F. Zare-Mirakabad, Mahsa Saadat, Armin Behjati, 2021, bioRxiv.

Identification of new potent agonists for toll-like receptor 8 by virtual screening methods, molecular dynamics simulation, and MM-GBSA

S. Gharaghani, Z. Hajihassan, Farideh Sadeghkhani, 2022, Journal of biomolecular structure & dynamics.

Deciphering the inhibition effect of thymoquinone on xanthine oxidase activity using differential pulse voltammetry in combination with theoretical studies.

S. Gharaghani, H. Zare, A. Benvidi, 2019, Enzyme and microbial technology.

Novel insights into the effect of folate–albumin binding on the transport of ascorbic acid as an anticancer agent: chemometric analysis based on combined spectroscopic and electrochemical studies

S. Gharaghani, A. Benvidi, Saleheh Abbasi, 2018 .

Experimental and theoretical investigation of interaction between bovine serum albumin and the mixture of caffeic acid and salicylic acid as the antioxidants

S. Gharaghani, H. Zare, A. Benvidi, 2017 .

DEDTI versus IEDTI: efficient and predictive models of drug-target interactions

S. Gharaghani, A. Zabihian, S. M. Hashemi, 2023, Scientific reports.

DRaW: prediction of COVID-19 antivirals by deep learning—an objection on using matrix factorization

S. Gharaghani, A. Zabihian, S. M. Hashemi, 2023, BMC Bioinformatics.

Melatonin Therapy Modulates Cerebral Metabolism and Enhances Remyelination by Increasing PDK4 in a Mouse Model of Multiple Sclerosis

S. Gharaghani, S. Mondello, K. Zibara, 2019, Front. Pharmacol..

Proteochemometrics modeling for prediction of the interactions between caspase isoforms and their inhibitors

S. Gharaghani, A. Ramazani, R. Sheikhpour, 2022, Molecular Diversity.

New insights into the efficiency of thymol synergistic effect with p-cymene in inhibiting advanced glycation end products: A multi-way analysis based on spectroscopic and electrochemical methods in combination with molecular docking study.

S. Gharaghani, A. Benvidi, Saleheh Abbasi, 2018, Journal of pharmaceutical and biomedical analysis.

Spectrophotometric determination of synthetic colorants using PSO-GA-ANN.

Sajjad Gharaghani, Ali Benvidi, S. Gharaghani, 2017, Food chemistry.

Biomolecular interactions and binding dynamics of inhibitor arachidonic acid, with tyrosinase enzyme

S. Gharaghani, N. Gheibi, A. Farasat, 2022, Journal of biomolecular structure & dynamics.

Virtual screening reveals aprepitant to be a potent inhibitor of neutral sphingomyelinase 2: implications in blockade of exosome release in cancer therapy

S. Gharaghani, A. Moghadamnia, M. Moloudizargari, 2023, Journal of Cancer Research and Clinical Oncology.

New insights into the inhibitory effect of phenol carboxylic acid antioxidants on mushroom tyrosinase by molecular dynamic studies and experimental assessment

S. Gharaghani, N. Gheibi, H. Piri, 2023, Journal of biomolecular structure & dynamics.

Studies of DNA- and HSA-binding properties of new nano-scale green synthesized Ni (II) complex as anticancer agent using spectroscopic methods, viscosity measurement, molecular docking, MD simulation and QM/MM

S. Gharaghani, H. A. Rudbari, M. Sahihi, 2017 .

Synthesis, characterization and separation of chiral and achiral diastereomers of Schiff base Pd(II) complex: A comparative study of their DNA- and HSA-binding.

S. Gharaghani, V. Mirkhani, I. Mohammadpoor‐Baltork, 2016, Journal of photochemistry and photobiology. B, Biology.

In silico studies of anti-oxidative and hot temperament-based phytochemicals as natural inhibitors of SARS-CoV-2 Mpro

A. Seyedarabi, Ramin Naderi Beni, Sajjad Gharaghani, 2023, PloS one.

Structural stability of β-lactoglobulin in the presence of cetylpyridinum bromide: spectroscopic and molecular docking studies

S. Gharaghani, M. Sahihi, Zahra Chavoshpour-Natanzi, 2018, Journal of biomolecular structure & dynamics.

Chiral halogenated Schiff base compounds: green synthesis, anticancer activity and DNA-binding study

S. Gharaghani, Z. Kazemi, M. Sahihi, 2018, Journal of Molecular Structure.

New and mild method for the synthesis of alprazolam and diazepam and computational study of their binding mode to GABAA receptor

A. Massah, Hamid Ardeshiri Lordejani, N. Asakere, 2016, Medicinal Chemistry Research.