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Structure-based pose prediction: Non-cognate docking extended to macrocyclic ligands
Structure-based pose prediction: Non-cognate docking extended to macrocyclic ligands
So-called “cross-docking” is the prediction of the bound configuration of small-molecule ligands that differ f...
Steered molecular dynamics simulation as a post-process to optimize the iBRAB-designed Fab model
Steered molecular dynamics simulation as a post-process to optimize the iBRAB-designed Fab model
Therapeutic monoclonal antibodies are an effective method of treating acute infectious diseases. However, knowing which of...
Comparative assessment of physics-based in silico methods to calculate relative solubilities
Comparative assessment of physics-based in silico methods to calculate relative solubilities
Relative solubilities, i.e. whether a given molecule is more soluble in one solvent compared to others, is a critical para...
Combining crystallographic and binding affinity data towards a novel dataset of small molecule overlays
Combining crystallographic and binding affinity data towards a novel dataset of small molecule overlays
Although small molecule superposition is a standard technique in drug discovery, a rigorous performance assessment of the ...
User-centric design of a 3D search interface for protein-ligand complexes
User-centric design of a 3D search interface for protein-ligand complexes
In this work, we present the frontend of GeoMine and showcase its application, focusing on the new features of its latest ...
MDFit: automated molecular simulations workflow enables high throughput assessment of ligands-protein dynamics
MDFit: automated molecular simulations workflow enables high throughput assessment of ligands-protein dynamics
Molecular dynamics (MD) simulation is a powerful tool for characterizing ligand–protein conformational dynamics and ...
Structural impacts of two disease-linked ADAR1 mutants: a molecular dynamics study
Structural impacts of two disease-linked ADAR1 mutants: a molecular dynamics study
Adenosine deaminases acting on RNA (ADARs) are pivotal RNA-editing enzymes responsible for converting adenosine to inosine...
From mundane to surprising nonadditivity: drivers and impact on ML models
From mundane to surprising nonadditivity: drivers and impact on ML models
Nonadditivity (NA) in Structure-Activity and Structure-Property Relationship (SAR) data is a rare but very information ric...
FitScore: a fast machine learning-based score for 3D virtual screening enrichment
FitScore: a fast machine learning-based score for 3D virtual screening enrichment
Enhancing virtual screening enrichment has become an urgent problem in computational chemistry, driven by increasingly lar...
De novo drug design through gradient-based regularized search in information-theoretically controlled latent space
De novo drug design through gradient-based regularized search in information-theoretically controlled latent space
Over the last decade, automatic chemical design frameworks for discovering molecules with drug-like properties have signif...
QM assisted ML for 19F NMR chemical shift prediction
QM assisted ML for 19F NMR chemical shift prediction
Ligand-observed 19F NMR detection is an efficient method for screening libraries of fluorinated molecules in fragment-base...
Molecular dynamics study on micelle-small molecule interactions: developing a strategy for an extensive comparison
Molecular dynamics study on micelle-small molecule interactions: developing a strategy for an extensive comparison
Theoretical predictions of the solubilizing capacity of micelles and vesicles present in intestinal fluid are important fo...
A deep neural network: mechanistic hybrid model to predict pharmacokinetics in rat
A deep neural network: mechanistic hybrid model to predict pharmacokinetics in rat
An important aspect in the development of small molecules as drugs or agrochemicals is their systemic availability after i...
Rethinking the applicability domain analysis in QSAR models
Rethinking the applicability domain analysis in QSAR models
Notwithstanding the wide adoption of the OECD principles (or best practices) for QSAR modeling, disparities between in sil...
Molecule auto-correction to facilitate molecular design
Molecule auto-correction to facilitate molecular design
Ensuring that computationally designed molecules are chemically reasonable is at best cumbersome. We present a molecule co...
Molecular dynamics simulations as a guide for modulating small molecule aggregation
Molecular dynamics simulations as a guide for modulating small molecule aggregation
Small colloidally aggregating molecules (SCAMs) can be problematic for biological assays in drug discovery campaigns. Howe...
SpaceGrow: efficient shape-based virtual screening of billion-sized combinatorial fragment spaces
SpaceGrow: efficient shape-based virtual screening of billion-sized combinatorial fragment spaces
The growing size of make-on-demand chemical libraries is posing new challenges to cheminformatics. These ultra-large chemi...