GBO-kNN a new framework for enhancing the performance of ligand-based virtual screening for drug discovery

AA Mostafa, AA Alhossary, SA Salem… - Expert Systems with …, 2022 - Elsevier
Virtual Screening (VS) in drug discovery campaigns deals with enormously large databases
containing massive redundant and/or irrelevant features. Thus, the pre-selection process of …

Feature reduction for molecular similarity searching based on autoencoder deep learning

M Nasser, N Salim, F Saeed, S Basurra, I Rabiu… - Biomolecules, 2022 - mdpi.com
The concept of molecular similarity has been commonly used in rational drug design, where
structurally similar molecules are examined in molecular databases to retrieve functionally …

Similarity-based virtual screen using enhanced Siamese multi-layer perceptron

MK Altalib, N Salim - Molecules, 2021 - mdpi.com
Traditional drug development is a slow and costly process that leads to the production of
new drugs. Virtual screening (VS) is a computational procedure that measures the similarity …

Phishing website detection using a hybrid approach based on support vector machine and ant colony optimization

MM Elsheh, K Swayeb - … of the Conference on Sciences and …, 2023 - ieeexplore.ieee.org
The Internet has become the most useable tool for people worldwide to communicate and
transact business deals, transform money and many other daily activities that require the …

Hybrid-Enhanced Siamese Similarity Models in Ligand-Based Virtual Screen

MK Altalib, N Salim - Biomolecules, 2022 - mdpi.com
Information technology has become an integral aspect of the drug development process.
The virtual screening process (VS) is a computational technique for screening chemical …

Molecular Similarity Searching Based on Deep Belief Networks with Different Molecular Descriptors

M Nasser, N Salim, H Hamza - … of the 2020 2nd International Conference …, 2020 - dl.acm.org
Molecular 2D similarity searching is one of the most widely used techniques for ligand-
based virtual screening (LBVS). This study has used the concepts of deep learning by …

Future Trends of the Healthcare Data Predictive Analytics using Soft Computing Techniques in Data Science

S Dhamodaran, A Balmoor - CVR Journal of Science and Technology, 2019 - cvr.ac.in
Abstract Predictive Analytics, Soft Computing (SC) and Optimization, Data Mining and Data
Science are rapidly becoming some of the most-discussed, perhaps utmost glorified topics …

Optimized deep belief network and unsupervised deep learning methods for disease prediction

ST Shenbagavalli, D Shanthi - Journal of Intelligent & Fuzzy …, 2023 - content.iospress.com
Due to the vast amount of patient health data, automated healthcare systems still struggle to
classify and diagnose various ailments. Learning redundant data also reduces …

[PDF][PDF] Feature Reduction for Molecular Similarity Searching Based on Autoencoder Deep Learning. Biomolecules 2022, 12, 508

M Nasser, N Salim, F Saeed, S Basurra, I Rabiu… - 2022 - academia.edu
The concept of molecular similarity has been commonly used in rational drug design, where
structurally similar molecules are examined in molecular databases to retrieve functionally …

Clustering web users based on K-means algorithm for reducing time access cost

M Nasser, H Hamza, N Salim… - 2019 First International …, 2019 - ieeexplore.ieee.org
Numerous organizations are providing web-based services due to the consistent increase in
web development and number of available web searching tools. However, the …