Progress in molecular docking
J Fan, A Fu, L Zhang - Quantitative Biology, 2019 - Springer
Background In recent years, since the molecular docking technique can greatly improve the
efficiency and reduce the research cost, it has become a key tool in computer-assisted drug …
efficiency and reduce the research cost, it has become a key tool in computer-assisted drug …
Molecular docking: principles, advances, and its applications in drug discovery
MT Muhammed, E Aki-Yalcin - Letters in Drug Design & …, 2024 - ingentaconnect.com
Molecular docking is a structure-based computational method that generates the binding
pose and affinity between ligands and targets. There are many powerful docking programs …
pose and affinity between ligands and targets. There are many powerful docking programs …
Do deep learning models really outperform traditional approaches in molecular docking?
Molecular docking, given a ligand molecule and a ligand binding site (called``pocket'') on a
protein, predicting the binding mode of the protein-ligand complex, is a widely used …
protein, predicting the binding mode of the protein-ligand complex, is a widely used …
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 …
Beware of docking!
YC Chen - Trends in pharmacological sciences, 2015 - cell.com
Docking is now routine in virtual screening or lead optimization for drug screening and
design. The number of papers related to docking has dramatically increased over the past …
design. The number of papers related to docking has dramatically increased over the past …
Machine learning in computational docking
Objective The objective of this paper is to highlight the state-of-the-art machine learning (ML)
techniques in computational docking. The use of smart computational methods in the life …
techniques in computational docking. The use of smart computational methods in the life …
Molecular docking: challenges, advances and its use in drug discovery perspective
S Saikia, M Bordoloi - Current drug targets, 2019 - ingentaconnect.com
Molecular docking is a process through which small molecules are docked into the
macromolecular structures for scoring its complementary values at the binding sites. It is a …
macromolecular structures for scoring its complementary values at the binding sites. It is a …
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 …
Molecular docking for drug discovery and development: a widely used approach but far from perfect
G Wang, W Zhu - Future Medicinal Chemistry, 2016 - Future Science
It is usually the first step to find active compounds from existing chemicals for a drug
discovery and development project. Although many pharmaceutical companies have their …
discovery and development project. Although many pharmaceutical companies have their …
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 …