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Machine learning in drug discovery: a review
This review provides the feasible literature on drug discovery through ML tools and
techniques that are enforced in every phase of drug development to accelerate the research …
techniques that are enforced in every phase of drug development to accelerate the research …
Artificial intelligence and machine learning technology driven modern drug discovery and development
C Sarkar, B Das, VS Rawat, JB Wahlang… - International Journal of …, 2023 - mdpi.com
The discovery and advances of medicines may be considered as the ultimate relevant
translational science effort that adds to human invulnerability and happiness. But advancing …
translational science effort that adds to human invulnerability and happiness. But advancing …
Use of molecular docking computational tools in drug discovery
F Stanzione, I Giangreco, JC Cole - Progress in medicinal chemistry, 2021 - Elsevier
Molecular docking has become an important component of the drug discovery process.
Since first being developed in the 1980s, advancements in the power of computer hardware …
Since first being developed in the 1980s, advancements in the power of computer hardware …
Machine learning methods in drug discovery
The advancements of information technology and related processing techniques have
created a fertile base for progress in many scientific fields and industries. In the fields of drug …
created a fertile base for progress in many scientific fields and industries. In the fields of drug …
Key topics in molecular docking for drug design
PHM Torres, ACR Sodero, P Jofily… - International journal of …, 2019 - mdpi.com
Molecular docking has been widely employed as a fast and inexpensive technique in the
past decades, both in academic and industrial settings. Although this discipline has now had …
past decades, both in academic and industrial settings. Although this discipline has now had …
An overview of scoring functions used for protein–ligand interactions in molecular docking
J Li, A Fu, L Zhang - Interdisciplinary Sciences: Computational Life …, 2019 - Springer
Currently, molecular docking is becoming a key tool in drug discovery and molecular
modeling applications. The reliability of molecular docking depends on the accuracy of the …
modeling applications. The reliability of molecular docking depends on the accuracy of the …
Deep learning in drug discovery
E Gawehn, JA Hiss, G Schneider - Molecular informatics, 2016 - Wiley Online Library
Artificial neural networks had their first heyday in molecular informatics and drug discovery
approximately two decades ago. Currently, we are witnessing renewed interest in adapting …
approximately two decades ago. Currently, we are witnessing renewed interest in adapting …
Structure-based drug repurposing: Traditional and advanced AI/ML-aided methods
Highlights•Repurposing existing drugs for new diseases is cost effective and time saving.•In
silico methods are crucial for rapid drug screening in the early stages.•Machine learning …
silico methods are crucial for rapid drug screening in the early stages.•Machine learning …
From machine learning to deep learning: Advances in scoring functions for protein–ligand docking
Molecule docking has been regarded as a routine tool for drug discovery, but its accuracy
highly depends on the reliability of scoring functions (SFs). With the rapid development of …
highly depends on the reliability of scoring functions (SFs). With the rapid development of …
Artificial intelligence in drug design
Thanks to the fast improvement of the computing power and the rapid development of the
computational chemistry and biology, the computer-aided drug design techniques have …
computational chemistry and biology, the computer-aided drug design techniques have …