Machine learning in drug discovery: a review

S Dara, S Dhamercherla, SS Jadav, CHM Babu… - Artificial intelligence …, 2022 - Springer
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 …

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 …

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 …

Machine learning methods in drug discovery

L Patel, T Shukla, X Huang, DW Ussery, S Wang - Molecules, 2020 - mdpi.com
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 …

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 …

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 …

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 …

Structure-based drug repurposing: Traditional and advanced AI/ML-aided methods

C Choudhury, NA Murugan, UD Priyakumar - Drug discovery today, 2022 - Elsevier
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 …

From machine learning to deep learning: Advances in scoring functions for protein–ligand docking

C Shen, J Ding, Z Wang, D Cao… - Wiley Interdisciplinary …, 2020 - Wiley Online Library
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 …

Artificial intelligence in drug design

F Zhong, J **ng, X Li, X Liu, Z Fu, Z **ong, D Lu… - Science China Life …, 2018 - Springer
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 …