Sajjad Gharaghani

According to our database, Sajjad Gharaghani authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

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

Alireza Dehghan, Karim Abbasi, Parvin Razzaghi, Hossein Banadkuki, Sajjad Gharaghani

BMC Bioinform., December, 2024

2023

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

Alireza Dehghan, Parvin Razzaghi, Karim Abbasi, Sajjad Gharaghani

Expert Syst. Appl., December, 2023

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

S. Morteza Hashemi, Arash Zabihian, Mohsen Hooshmand, Sajjad Gharaghani

BMC Bioinform., December, 2023

2021

Correction to: Moonlighting protein prediction using physico‑chemical and evolutional properties via machine learning methods.

Farshid Shirafkan, Sajjad Gharaghani, Karim Rahimian, Reza Hasan Sajedi, Javad Zahiri

BMC Bioinform., 2021

Moonlighting protein prediction using physico-chemical and evolutional properties via machine learning methods.

Farshid Shirafkan, Sajjad Gharaghani, Karim Rahimian, Reza Hasan Sajedi, Javad Zahiri

BMC Bioinform., 2021

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

Seyedeh Zahra Sajadi, Mohammad Ali Zare Chahooki, Sajjad Gharaghani, Karim Abbasi

BMC Bioinform., 2021

2020

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

Razieh Sheikhpour, Mehdi Agha Sarram, Sajjad Gharaghani, Mohammad Ali Zare Chahooki

Inf. Sci., 2020

NDDSA: A network- and domain-based method for predicting drug-side effect associations.

Soheila Shabani-Mashcool, Sayed-Amir Marashi, Sajjad Gharaghani

Inf. Process. Manag., 2020

In silico drug repositioning of FDA-approved drugs to predict new inhibitors for alpha-synuclein aggregation.

Sedighe Sadat Jafaripour, Sajjad Gharaghani, Elmira Nazarshodeh, Shozeb Haider, Ali Akbar Saboury

Comput. Biol. Chem., 2020

2017

A Survey on semi-supervised feature selection methods.

Razieh Sheikhpour, Mehdi Agha Sarram, Sajjad Gharaghani, Mohammad Ali Zare Chahooki

Pattern Recognit., 2017

Toward a hierarchical virtual screening and toxicity risk analysis for identifying novel CA XII inhibitors.

Elmira Nazarshodeh, Sajjad Gharaghani

Biosyst., 2017

2016

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

Zohreh Amini, Mohammad Hossein Fatemi, Sajjad Gharaghani

Comput. Biol. Chem., 2016