International Conference on Computer and Knowledge Engineering

Home / 14th International Conference on Computer and Knowledge Engineering

Machine and Deep Learning Models for Prediction of Small Molecule–Biotech Drug Pair’s Interactions

Authors :

Fatemeh Nasiri¹ Mohsen Hooshmand²

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

Keywords :

Drug-drug interaction،Small molecule drug،Biotech drug،Machine learning،Deep learning

Abstract :

The pharmaceutical industry plays a crucial role in treating diseases. Combining different drugs and using them simultaneously is common in disease treatment. However, adding a new drug can affect the action or effectiveness of another drug. Therefore, predicting the interaction between drug pairs in medical prescriptions is important. Nowadays, two types of drugs are prevalent in the health industry: small molecules and biotech drugs, each with unique properties. Predicting interactions between small molecules and biotech drugs is a challenging and significant process. In this study, we propose a prediction model to identify drug interactions, especially when the types of drugs differ. We utilize various machine learning models and a deep learning model. The results demonstrate that our proposed model performs exceptionally well. The deep learning model outperforms the other methods and achieves the best overall performance.

List of archived papers

Optimizing Question-Answering Framework Through Integration of Text Summarization Model and Third-Generation Generative Pre-Trained Transformer

Ervin Gubin Moung - Toh Sin Tong - Maisarah Mohd Sufian - Valentino Liaw - Ali Farzamnia - Farashazillah Yahya

A Vision-Based Method for Human Activity Recognition Using Local Binary Pattern

Babak Goodarzi - Reza Javidan - Mohammad Sadegh Rezaei

ROCT-Net: A new ensemble deep convolutional model with improved spatial resolution learning for detecting common diseases from retinal OCT images

Mohammad Rahimzadeh - Mahmoud Reza Mohammadi

Span-prediction of Unknown Values for Long-sequence Dialogue State Tracking

Marzieh Naghdi Dorabati - Reza Ramezani - Mohammad Ali Nematbakhsh

A Survey of the AVOA Metaheuristic Algorithm and its Suitability for Power System Optimization and Damping Controller Design

Aliyu Sabo - Theophilus Ebuka Odoh - Samuel Habu - Hossien Shahinzadeh - Farshad Ebrahimi

A Cloud Broker with Gap Analysis Perspective for Scheduling Multi-Workflows Across On-Demand and Reserved Resources

Negin Shafinezhad - Hamidreza Abrishami - Saeid Abrishami

Deep Learning-Based Malaysian Sign Language (MSL) Recognition: Exploring the Impact of Color Spaces

Ervin Gubin Moung - Precilla Fiona Suwek - Maisarah Mohd Sufian - Valentino Liaw - Ali Farzamnia - Wei Leong Khong

Area-Efficient VLSI Implementation of Bit-Serial Multiplier Using Polynomial Basis over GF(2m)

Saeideh Nabipour - Javad Javidan - Gholamreza Zare Fatin

Reliability Evaluation of 4:2 Compressors Based on Hammock Networks

Farshad Safaei - Mohammad mahdi Emadi Kouchak - Sara Talebpour

Improving Machine Learning Classification of Heart Disease Using the Graph-Based Techniques

Abolfazl Dibaji - Sadegh Sulaimany

more

Samin Hamayesh - Version 42.4.1