[HTML][HTML] Artificial intelligence to deep learning: machine intelligence approach for drug discovery
Drug designing and development is an important area of research for pharmaceutical
companies and chemical scientists. However, low efficacy, off-target delivery, time …
companies and chemical scientists. However, low efficacy, off-target delivery, time …
[HTML][HTML] De novo molecular design and generative models
Molecular design strategies are integral to therapeutic progress in drug discovery.
Computational approaches for de novo molecular design have been developed over the …
Computational approaches for de novo molecular design have been developed over the …
Artificial intelligence in drug discovery: recent advances and future perspectives
J Jiménez-Luna, F Grisoni, N Weskamp… - Expert opinion on drug …, 2021 - Taylor & Francis
Introduction: Artificial intelligence (AI) has inspired computer-aided drug discovery. The
widespread adoption of machine learning, in particular deep learning, in multiple scientific …
widespread adoption of machine learning, in particular deep learning, in multiple scientific …
Generative deep learning for targeted compound design
In the past few years, de novo molecular design has increasingly been using generative
models from the emergent field of Deep Learning, proposing novel compounds that are …
models from the emergent field of Deep Learning, proposing novel compounds that are …
[HTML][HTML] Comprehensive survey of recent drug discovery using deep learning
Drug discovery based on artificial intelligence has been in the spotlight recently as it
significantly reduces the time and cost required for developing novel drugs. With the …
significantly reduces the time and cost required for developing novel drugs. With the …
Artificial intelligence to bring nanomedicine to life
N Serov, V Vinogradov - Advanced Drug Delivery Reviews, 2022 - Elsevier
The technology of drug delivery systems (DDSs) has demonstrated an outstanding
performance and effectiveness in production of pharmaceuticals, as it is proved by many …
performance and effectiveness in production of pharmaceuticals, as it is proved by many …
Reinforced genetic algorithm for structure-based drug design
Abstract Structure-based drug design (SBDD) aims to discover drug candidates by finding
molecules (ligands) that bind tightly to a disease-related protein (targets), which is the …
molecules (ligands) that bind tightly to a disease-related protein (targets), which is the …
[HTML][HTML] Artificial intelligence and machine learning based intervention in medical infrastructure: a review and future trends
People in the life sciences who work with Artificial Intelligence (AI) and Machine Learning
(ML) are under increased pressure to develop algorithms faster than ever. The possibility of …
(ML) are under increased pressure to develop algorithms faster than ever. The possibility of …
[HTML][HTML] Integrating structure-based approaches in generative molecular design
Generative molecular design for drug discovery and development has seen a recent
resurgence promising to improve the efficiency of the design-make-test-analyse cycle; by …
resurgence promising to improve the efficiency of the design-make-test-analyse cycle; by …
[HTML][HTML] Past, present, and future perspectives on computer-aided drug design methodologies
The application of computational approaches in drug discovery has been consolidated in
the last decades. These families of techniques are usually grouped under the common …
the last decades. These families of techniques are usually grouped under the common …