Sajjad Gharaghani

About Sajjad Gharaghani

Sajjad Gharaghani, With an exceptional h-index of 20 and a recent h-index of 16 (since 2020), a distinguished researcher at University of Tehran, specializes in the field of Bioinformatics, Chemoinformatics, Computational Drug design, QSAR.

His recent articles reflect a diverse array of research interests and contributions to the field:

A comparative analysis of computational drug repurposing approaches: proposing a novel tensor-matrix-tensor factorization method

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

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

A Molecular Generative Model of COVID-19 Main Protease Inhibitors Using Long Short-Term Memory-Based Recurrent Neural Network

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

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

Proteochemometrics Modeling for Prediction of the Interactions between Caspase Isoforms and their Inhibitors

Optimization of L-asparaginase production using native soil-isolated Bacillus sp. and evaluation of its anticancer activity

Sajjad Gharaghani Information

University

Position

Assistant Professor Institute of ‌Biochemistry and Biophysics (IBB)

Citations(all)

1794

Citations(since 2020)

1384

Cited By

934

hIndex(all)

20

hIndex(since 2020)

16

i10Index(all)

40

i10Index(since 2020)

34

Email

University Profile Page

Google Scholar

Sajjad Gharaghani Skills & Research Interests

Bioinformatics

Chemoinformatics

Computational Drug design

QSAR

Top articles of Sajjad Gharaghani

Title

Journal

Author(s)

Publication Date

A comparative analysis of computational drug repurposing approaches: proposing a novel tensor-matrix-tensor factorization method

Arash Zabihian

Javad Asghari

Mohsen Hooshmand

Sajjad Gharaghani

2024/1/1

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

BMC Bioinformatics

Alireza Dehghan

Karim Abbasi

Parvin Razzaghi

Hossein Banadkuki

Sajjad Gharaghani

2024

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

Medicine in Drug Discovery

Zeynab Fakhar

Ali Hosseinpouran

Orde Q Munro

Sorena Sarmadi

Sajjad Gharaghani

2024/2/1

A Molecular Generative Model of COVID-19 Main Protease Inhibitors Using Long Short-Term Memory-Based Recurrent Neural Network

Journal of Computational Biology

Arash Mehrzadi

Elham Rezaee

Sajjad Gharaghani

Zeynab Fakhar

Seyed Mohsen Mirhosseini

2024/1/1

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

Scientific Reports

Arash Zabihian

Faeze Zakaryapour Sayyad

Seyyed Morteza Hashemi

Reza Shami Tanha

Mohsen Hooshmand

...

2023/6/7

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

Expert Systems with Applications

Alireza Dehghan

Parvin Razzaghi

Karim Abbasi

Sajjad Gharaghani

2023/12/1

Proteochemometrics Modeling for Prediction of the Interactions between Caspase Isoforms and their Inhibitors

Molecular Diversity

Zahra Bastami

Razieh Sheikhpour

Parvin Razzaghi

Ali Ramezani

Sajjad Gharaghani

2023

Optimization of L-asparaginase production using native soil-isolated Bacillus sp. and evaluation of its anticancer activity

Journal of Microbial World

Forough Rahnamay Roodposhti

Leila Asadpour

Mahdi Shahriarinour

Behnam Rasti

Sajjad Gharaghani

2023/3/6

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

PLOS ONE

Ramin Naderi Beni

Parisa Elyasi-Ebli

Sajjad Gharaghani

Arefeh Seyedarabi

2023/11/30

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

BMC Bioinformatics

S. Morteza Hashemi

Arash Zabihian

Mohsen Hooshmand

Sajjad Gharaghani

2023/2/15

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

Journal of Biomolecular Structure and Dynamics

Farideh Sadeghkhani

Zahra Hajihassan

Sajjad Gharaghani

2023/11/24

Determination of intermediate proteins in the protein-protein interaction network considering common diseases in Moonlighting proteins

Modares Journal of Biotechnology

Farshid Shirafkan

Sajjad Gharaghani

2023/1/10

Insights on the conformation and appropriate drug-target sites on retinal IMPDH1 using the 604-aa isoform lacking the C-terminal extension

Research in Pharmaceutical Sciences

Parisa Elyasi-Ebli

Razieh Yazdanparast

Sajjad Gharaghani

Ebrahim Barzegari

2023/11/1

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

Molecular Liquid

M Yazdani

A Jafari

S Mahdian

M Namazi

S Gharaghani

2023

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

Journal of Cancer Research and Clinical Oncology

Milad Moloudizargari

Shirin Hekmatirad

Sajjad Gharaghani

Ali Akbar Moghadamnia

Hossein Najafzadehvarzi

...

2023/8

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

Journal of Biomolecular Structure and Dynamics

Tahereh Shojazadeh

Leila Zolghadr

Sajjad Gharaghani

Saeed JafarKhani

Fatemeh Molaabasi

...

2023/12/29

The interaction of a novel drug with β-secretase-1 and acetylcholinesterase: A Computational investigation from both dynamics and thermodynamics viewpoints

Iran. J. Chem. Chem. Eng. Research Article Vol

Sara Roosta

Seyed Majid Hashemianzadeh

Sajjad Gharaghani

Mohammad Hossein Karimi Jafari

2023

BRNS + SSFSM-DTI: A hybrid method for drug-target interaction prediction based on balanced reliable negative samples and semi-supervised feature selection

Chemometrics and Intelligent Laboratory Systems

Mohammad Morovvati

Razieh Sheikhpour

Sajjad Gharaghani

2022

Matrix factorization with denoising autoencoders for prediction of drug–target interactions

Molecular Diversity

Seyedeh Zahra Sajadi

Mohammad Ali Zare Chahooki

Maryam Tavakol

Sajjad Gharaghani

2023/6

Drug-target interaction prediction using reliable negative samples and effective feature selection methods

Journal of Pharmacological and Toxicological Methods

Mohammad Morovvati

Razieh Sheikhpour

Sajjad Gharaghani

2022/6/20

See List of Professors in Sajjad Gharaghani University(University of Tehran)

Co-Authors

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