Deep learning based methods for molecular similarity searching: a systematic review
In rational drug design, the concept of molecular similarity searching is frequently used to
identify molecules with similar functionalities by looking up structurally related molecules in …
identify molecules with similar functionalities by looking up structurally related molecules in …
Convolutional neural network model based on 2D fingerprint for bioactivity prediction
Determining and modeling the possible behaviour and actions of molecules requires
investigating the basic structural features and physicochemical properties that determine …
investigating the basic structural features and physicochemical properties that determine …
Utilizing Low-Dimensional Molecular Embeddings for Rapid Chemical Similarity Search
Nearest neighbor-based similarity searching is a common task in chemistry, with notable
use cases in drug discovery. Yet, some of the most commonly used approaches for this task …
use cases in drug discovery. Yet, some of the most commonly used approaches for this task …
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 …
An Anomaly Intrusion Detection Systems in IoT Based on Autoencoder: A Review
Devices connected to the Internet of Things are expanding quickly and producing tons of
data. Simultaneously, malicious attempts to gain access to sensitive data or disrupt networks …
data. Simultaneously, malicious attempts to gain access to sensitive data or disrupt networks …
Artificial intelligence and machine learning at various stages and scales of process systems engineering
We review the utility and application of artificial intelligence (AI) and machine learning (ML)
at various process scales in this work, from molecules and reactions to materials to …
at various process scales in this work, from molecules and reactions to materials to …
In Silico Drug Design and Discovery: Big Data for Small Molecule Design
Across life sciences, the steadily and rapidly increasing amount of data provide new
opportunities for advancing knowledge and represent a key driver of emerging technological …
opportunities for advancing knowledge and represent a key driver of emerging technological …
Deep autoencoder-powered pattern identification of sleep disturbance using multi-site cross-sectional survey data
Pattern identification (PI) is a diagnostic method used in Traditional East Asian medicine
(TEAM) to select appropriate and personalized acupuncture points and herbal medicines for …
(TEAM) to select appropriate and personalized acupuncture points and herbal medicines for …
10 Drug Discovery by Deep Learning and Virtual Screening
Computer-assisted drug design (CADD), known as molecular modeling (MM) and
sometimes called in silico methods, provides a quick and valid way for scientific research on …
sometimes called in silico methods, provides a quick and valid way for scientific research on …
Learning Improved Representations Through Informed Self-Supervision: Applications to Drug Discovery
KE Kirchoff - 2024 - search.proquest.com
In recent years, deep learning methodologies have afforded unparalleled computational
advancements, from artistic generation and self-driving cars, to voice assistants and …
advancements, from artistic generation and self-driving cars, to voice assistants and …