International Conference on Computer and Knowledge Engineering

Home / 14th International Conference on Computer and Knowledge Engineering

Virus-Antiviral Prediction Using Machine and Deep Learning Methods

Authors :

Shayan Majidifar¹ Fatemeh Nasiri² Mohsen Hooshmand³

1- Institute for Advanced Studies in Basic Sciences (IASBS) 2- Institute for Advanced Studies in Basic Sciences (IASBS) 3- Assistant Professor

Keywords :

Drug repurposing،Machine learning،Virus،Antiviral،Deep learning،Dataset

Abstract :

Prediction of new virus-antiviral associations is significant in the treatment of virus diseases. This work proposes a prediction framework for finding new associations among the virus diseases and approved antivirals. To do this, we have generated a new virus-antiviral dataset. Additionally, we propose a prediction framework using random forest, SVM, XGBoost, and a deep learning model. The results are promising and XGBoost outperforms all other methods in the prediction of virus-antiviral associations.

List of archived papers

Word-level Persian Lipreading Dataset

Javad Peymanfard - Ali Lashini - Samin Heydarian - Hossein Zeinali - Nasser Mozayani

Taguchi Design of Experiments Application in Robust sEMG Based Force Estimation

Mohsen Ghanaei - Hadi Kalani - Alireza Akbarzadeh

Leveraging a structure-based and learning-based predictor using various feature groups in bioinformatics (case study: protein-peptide region residue-level interaction)

Shima Shafiee - Abdolhossein Fathi

Solving the influence maximization problem by using entropy and weight of edges

Farzaneh Kazemzadeh - Amir Karian - Mitra Mirzarezaee - Ali Asghar Safaei

Traffic Sign Recognition Using Local Vision Transformer

Ali Farzipour - Omid Nejati Manzari - Shahriar B. Shokouhi

A New Application of Machine Learning Based Methods for Disk Space Variation Fault Diagnosis in Transformer Windings

Reza Behkam - Amir Lotfi - Gevork B. Gharehpetian

A Systematic Embedded Software Design Flow for Robotic Applications

Navid Mahdian - Seyed-Hosein Attarzadeh-Niaki - Armin Salimi-Badr

Standardized ReACT Logits: An Effective Approach for Anomaly Segmentation in Self-driving Cars

Mahdi Farhadi - Seyede Mahya Hazavei - Shahriar Baradaran Shokouhi

GroupRec: Group Recommendation by Numerical Characteristics of Groups in Telegram

Davod Karimpour - Mohammad Ali Zare Chahooki - Ali Hashemi

Experimental evaluation and comparison of anti-pattern detection tools by the gold standard

Somayeh Kalhor - Mohammad reza Keyvanpour - Afshin Salajegheh

more

Samin Hamayesh - Version 41.7.6