CSCORE: A SIMPLE YET EFFECTIVE SCORING FUNCTION FOR PROTEIN–LIGAND BINDING AFFINITY PREDICTION USING MODIFIED CMAC LEARNING ARCHITECTURE

Global Free Energy Scoring Functions Based on Distance-Dependent Atom-Type Pair Descriptors

(2011) Christian Kramer et al.   Journal of Chemical Information and Modeling

A machine learning approach to predicting protein–ligand binding affinity with applications to molecular docking

(2010) Pedro J. Ballester et al.   BIOINFORMATICS

Leave-Cluster-Out Cross-Validation Is Appropriate for Scoring Functions Derived from Diverse Protein Data Sets

(2010) Christian Kramer et al.   Journal of Chemical Information and Modeling

Scoring functions and their evaluation methods for protein–ligand docking: recent advances and future directions

(2010) Sheng-You Huang et al.   PHYSICAL CHEMISTRY CHEMICAL PHYSICS

Comparative Assessment of Scoring Functions on a Diverse Test Set

(2009) Tiejun Cheng et al.   Journal of Chemical Information and Modeling

AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility

(2009) Garrett M. Morris et al.   JOURNAL OF COMPUTATIONAL CHEMISTRY

Towards the development of universal, fast and highly accurate docking/scoring methods: a long way to go

(2007) N Moitessier et al.   BRITISH JOURNAL OF PHARMACOLOGY