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Automated prediction of ligand-binding sites in proteins
- Source :
- Proteins: Structure, Function, and Bioinformatics. 70:1506-1517
- Publication Year :
- 2007
- Publisher :
- Wiley, 2007.
-
Abstract
- We present a method, termed AutoLigand, for the prediction of ligand-binding sites in proteins of known structure. The method searches the space surrounding the protein and finds the contiguous envelope with the specified volume of atoms, which has the largest possible interaction energy with the protein. It uses a full atomic representation, with atom types for carbon, hydrogen, oxygen, nitrogen and sulfur (and others, if desired), and is designed to minimize the need for artificial geometry. Testing on a set of 187 diverse protein-ligand complexes has shown that the method is successful in predicting the location and approximate volume of the binding site in 73% of cases. Additional testing was performed on a set of 96 protein-ligand complexes with crystallographic structures of apo and holo forms, and AutoLigand was able to predict the binding site in 80% of the apo structures.
- Subjects :
- Models, Molecular
Binding Sites
Protein Conformation
Proteins
chemistry.chemical_element
Drug design
Interaction energy
AutoDock
Ligands
Biochemistry
Sulfur
Structural genomics
Set (abstract data type)
Crystallography
chemistry
Structural Biology
Computational chemistry
Atom
Binding site
Molecular Biology
Protein Binding
Subjects
Details
- ISSN :
- 08873585
- Volume :
- 70
- Database :
- OpenAIRE
- Journal :
- Proteins: Structure, Function, and Bioinformatics
- Accession number :
- edsair.doi.dedup.....6148ecc455b5d65255cfcea202e68575
- Full Text :
- https://doi.org/10.1002/prot.21645