Artificial intelligence in the prediction of protein–ligand interactions: recent advances and future directions
New drug production, from target identification to marketing approval, takes over 12 years
and can cost around $2.6 billion. Furthermore, the COVID-19 pandemic has unveiled the …
and can cost around $2.6 billion. Furthermore, the COVID-19 pandemic has unveiled the …
Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases
The identification of interactions between drugs/compounds and their targets is crucial for
the development of new drugs. In vitro screening experiments (ie bioassays) are frequently …
the development of new drugs. In vitro screening experiments (ie bioassays) are frequently …
DeepSite: protein-binding site predictor using 3D-convolutional neural networks
Motivation An important step in structure-based drug design consists in the prediction of
druggable binding sites. Several algorithms for detecting binding cavities, those likely to …
druggable binding sites. Several algorithms for detecting binding cavities, those likely to …
Computational methods in drug discovery
Computer-aided drug discovery/design methods have played a major role in the
development of therapeutically important small molecules for over three decades. These …
development of therapeutically important small molecules for over three decades. These …
Molecular recognition in chemical and biological systems
E Persch, O Dumele, F Diederich - … Chemie International Edition, 2015 - Wiley Online Library
Abstract Structure‐based ligand design in medicinal chemistry and crop protection relies on
the identification and quantification of weak noncovalent interactions and understanding the …
the identification and quantification of weak noncovalent interactions and understanding the …
Predicting drug metabolism: experiment and/or computation?
J Kirchmair, AH Göller, D Lang, J Kunze… - Nature reviews Drug …, 2015 - nature.com
Drug metabolism can produce metabolites with physicochemical and pharmacological
properties that differ substantially from those of the parent drug, and consequently has …
properties that differ substantially from those of the parent drug, and consequently has …
Binding site detection remastered: enabling fast, robust, and reliable binding site detection and descriptor calculation with DoGSite3
Binding site prediction on protein structures is a crucial step in early phase drug discovery
whenever experimental or predicted structure models are involved. DoGSite belongs to the …
whenever experimental or predicted structure models are involved. DoGSite belongs to the …
Fpocket: an open source platform for ligand pocket detection
V Le Guilloux, P Schmidtke, P Tuffery - BMC bioinformatics, 2009 - Springer
Background Virtual screening methods start to be well established as effective approaches
to identify hits, candidates and leads for drug discovery research. Among those, structure …
to identify hits, candidates and leads for drug discovery research. Among those, structure …
Fabind: Fast and accurate protein-ligand binding
Modeling the interaction between proteins and ligands and accurately predicting their
binding structures is a critical yet challenging task in drug discovery. Recent advancements …
binding structures is a critical yet challenging task in drug discovery. Recent advancements …
Combining global and local measures for structure-based druggability predictions
A Volkamer, D Kuhn, T Grombacher… - Journal of chemical …, 2012 - ACS Publications
Predicting druggability and prioritizing certain disease modifying targets for the drug
development process is of high practical relevance in pharmaceutical research …
development process is of high practical relevance in pharmaceutical research …