Virtual screening with solvation and ligand-induced complementarity
V Schnecke, LA Kuhn - Virtual Screening: An Alternative or Complement …, 2002 - Springer
We present our database-screening tool SLIDE, which is capable of screening large data
sets of organic compounds for potential ligands to a given binding site of a target protein. Its …
sets of organic compounds for potential ligands to a given binding site of a target protein. Its …
Computational tools to model halogen bonds in medicinal chemistry
MC Ford, PS Ho - Journal of Medicinal Chemistry, 2016 - ACS Publications
The use of halogens in therapeutics dates back to the earliest days of medicine when
seaweed was used as a source of iodine to treat goiters. The incorporation of halogens to …
seaweed was used as a source of iodine to treat goiters. The incorporation of halogens to …
Automatic identification and representation of protein binding sites for molecular docking
Molecular (locking is a popular way to screen for novel drug compounds. The method
involves aligning small molecules to a protein structure and estimating their binding affinity …
involves aligning small molecules to a protein structure and estimating their binding affinity …
Methods for the prediction of protein-ligand binding sites for structure-based drug design and virtual ligand screening.
AT R Laurie, RM Jackson - Current Protein and Peptide …, 2006 - ingentaconnect.com
Structure Based Drug Design (SBDD) is a computational approach to lead discovery that
uses the threedimensional structure of a protein to fit drug-like molecules into a ligand …
uses the threedimensional structure of a protein to fit drug-like molecules into a ligand …
Large-scale validation of a quantum mechanics based scoring function: predicting the binding affinity and the binding mode of a diverse set of protein− ligand …
Computational methods to calculate binding affinity in protein− ligand interaction are of
immense interest because of obvious practical applications in structure-based drug design …
immense interest because of obvious practical applications in structure-based drug design …
CSAR benchmark exercise of 2010: selection of the protein–ligand complexes
JB Dunbar Jr, RD Smith, CY Yang… - Journal of chemical …, 2011 - ACS Publications
A major goal in drug design is the improvement of computational methods for docking and
scoring. The Community Structure Activity Resource (CSAR) aims to collect available data …
scoring. The Community Structure Activity Resource (CSAR) aims to collect available data …
Can machine learning consistently improve the scoring power of classical scoring functions? Insights into the role of machine learning in scoring functions
How to accurately estimate protein–ligand binding affinity remains a key challenge in
computer-aided drug design (CADD). In many cases, it has been shown that the binding …
computer-aided drug design (CADD). In many cases, it has been shown that the binding …
TB-IECS: an accurate machine learning-based scoring function for virtual screening
Abstract Machine learning-based scoring functions (MLSFs) have shown potential for
improving virtual screening capabilities over classical scoring functions (SFs). Due to the …
improving virtual screening capabilities over classical scoring functions (SFs). Due to the …
A knowledge-based scoring function for protein-ligand interactions: Probing the reference state
I Muegge - Perspectives in Drug Discovery and Design, 2000 - Springer
Abstract Knowledge-based scoring functions have recently emerged as an alternative and
very promising way of ranking protein-ligand complexes with known 3D structure according …
very promising way of ranking protein-ligand complexes with known 3D structure according …
Prospects for targeting the Bcl-2 family of proteins to develop novel cytotoxic drugs
Over the last decade the molecular mechanisms controlling programmed cell death
(apoptosis) have become clearer. It appears that many physiological and damage signals …
(apoptosis) have become clearer. It appears that many physiological and damage signals …