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 …

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 …

Automatic identification and representation of protein binding sites for molecular docking

J Ruppert, W Welch, AN Jain - Protein Science, 1997 - Wiley Online Library
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 …

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 …

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 …

K Raha, KM Merz - Journal of medicinal chemistry, 2005 - ACS Publications
Computational methods to calculate binding affinity in protein− ligand interaction are of
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 …

Can machine learning consistently improve the scoring power of classical scoring functions? Insights into the role of machine learning in scoring functions

C Shen, Y Hu, Z Wang, X Zhang, H Zhong… - Briefings in …, 2021 - academic.oup.com
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 …

TB-IECS: an accurate machine learning-based scoring function for virtual screening

X Zhang, C Shen, D Jiang, J Zhang, Q Ye, L Xu… - Journal of …, 2023 - Springer
Abstract Machine learning-based scoring functions (MLSFs) have shown potential for
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 …

Prospects for targeting the Bcl-2 family of proteins to develop novel cytotoxic drugs

JB Baell, DCS Huang - Biochemical pharmacology, 2002 - Elsevier
Over the last decade the molecular mechanisms controlling programmed cell death
(apoptosis) have become clearer. It appears that many physiological and damage signals …