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GBO-kNN a new framework for enhancing the performance of ligand-based virtual screening for drug discovery
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 …
containing massive redundant and/or irrelevant features. Thus, the pre-selection process of …
Feature reduction for molecular similarity searching based on autoencoder deep learning
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 …
structurally similar molecules are examined in molecular databases to retrieve functionally …
Similarity-based virtual screen using enhanced Siamese multi-layer perceptron
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 …
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 …
transact business deals, transform money and many other daily activities that require the …
Hybrid-Enhanced Siamese Similarity Models in Ligand-Based Virtual Screen
Information technology has become an integral aspect of the drug development process.
The virtual screening process (VS) is a computational technique for screening chemical …
The virtual screening process (VS) is a computational technique for screening chemical …
Molecular Similarity Searching Based on Deep Belief Networks with Different Molecular Descriptors
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 …
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 …
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
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 …
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
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 …
structurally similar molecules are examined in molecular databases to retrieve functionally …
Clustering web users based on K-means algorithm for reducing time access cost
Numerous organizations are providing web-based services due to the consistent increase in
web development and number of available web searching tools. However, the …
web development and number of available web searching tools. However, the …