International Conference on Computer and Knowledge Engineering

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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.

Papers List

List of archived papers

Prediction of West Texas Intermediate Crude-oil Price Using Hybrid Attention-based Deep Neural Networks: A Comparative Study

Alireza Jahandoost - Mahboobeh Houshmand - Seyyed Abed Hosseini

FAHP-OF: A New Method for Load Balancing in RPL-based Internet of Things (IoT)

Mohammad Koosha - Behnam Farzaneh - Emad Alizadeh - Shahin Farzaneh

A scalable blockchain-based educational network for data storage and assessment

Maryam Fattahi Vanani - Hamidreza Shayegh Borujeni - Ali Nourollah

Enhancing Lighter Neural Network Performance with Layer-wise Knowledge Distillation and Selective Pixel Attention

Siavash Zaravashan - Sajjad Torabi - Hesam Zaravashan

The application of Brain Drain Optimization algorithm on static drone placement problem

Mohammad Mehdi Samimi - Alireza Basiri

Using Deep Learning for Classification of Lung Cancer on CT Images in Ardabil Province

Mohammad Ali Javadzadeh Barzaki - Jafar Abdollahi - Mohammad Negaresh - Maryam Salimi - Hadi Zolfeghari - Mohsen Mohammadi - Asma Salmani - Rona Jannati - Firouz Amani

Efficient Sub-Carrier Relationship Extraction for Human Activity Recognition via EEGNet in Wireless Sensing

Siavash Zaravashan - Sadegh ArefiZadeh - Sajjad Torabi

Load Frequency Control of Geothermal Power Plant Incorporated Two-Area Hydro-Thermal System with AC-DC Lines

Shanker J Gambhire - Malligunta Kiran Kumar - Hossein Shahinzadeh - Mohammad-hossein Fayaz-dastgerdi - B. Srikanth Goud - Ch.Naga sai Kalyan

Investigation of topological characteristics of Iranian railway network: A network science approach

Sina Firuzbakht - Mohammad Khansari

Energy Efficient Power Allocation in MIMO-NOMA Systems with ZF Receiver Beamforming in Multiple Clusters

Mahdi Nangir - Abdolrasoul Sakhaei Gharagezlou - Nima Imani

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