International Conference on Computer and Knowledge Engineering

Please wait ...

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

Community-Based QoE Enhancement for User-Generated Content Live Streaming

Reza Saeedinia - S.Omid Fatemi - Daniele Lorenzi - Farzad Tashtarian - Christian Timmerer

Low-Cost and Hardware Efficient Implementation of Pooling Layers for Stochastic CNN Accelerators

Mobin Vaziri - Hadi Jahanirad

Innovative Customer Segmentation based on Multi-Step Sequential Deep Clustering in the Telecommunication Industry

Fatemeh Jalali Farahani - Shima Tabibian

MIPS-Core Application Specific Instruction-Set Processor for IDEA Cryptography − Comparison between Single-Cycle and Multi-Cycle Architectures

Ahmad Ahmadi - Reza Faghih Mirzaee

SUT: a new multi-purpose synthetic dataset for Farsi document image analysis

Elham Shabaninia - Fatemeh sadat Eslami - Ali Afkari Fahandari - Hossein Nezamabadi-pour

An Exploratory Study of the Relationship between SATD and Other Software Development Activities

Shima Esfandiari - Ashkan Sami

Machine Learning-Driven Prediction of Anti-Alzheimer Drug Efficacy Using PubChem Molecular Fingerprints

Mohammad Javad Sadeghi - Mohammad Javad Nemati - AliAsghar Zare - Mohammadreza Shams

A Weighted TF-IDF-based Approach for Authorship Attribution

Ali Abedzadeh - Reza Ramezani - Afsaneh Fatemi

FedBrain-Distill: Communication-Efficient Federated Brain Tumor Classification Using Ensemble Knowledge Distillation on Non-IID Data

Rasoul Jafari Gohari - Laya Aliahmadipour - Ezat Valipour

Atlas-based segmentation of cardiac chambers in systolic and diastolic phases of echocardiographic images

Elham Fathipour - Mahdi Saadatmand

more

Samin Hamayesh - Version 44.8.0