title: Structure-based target druggability assessment.
abstract: The focus of this chapter is on the important concepts behind the in silico techniques that are used today to assess target druggability. The first step of the assessment consists of finding cavity space in the protein using 2D and/or 3D topological concepts. These concepts underlie the geometry and energy-based pocketfinder algorithms. Analysis pursues on the physico-chemical complementarity between the binding site and the drug like molecule. Geometrical and molecular flexibility aspect are also included in this assessment. The presence of hot interaction spots are shown to be particularly important for targeting protein-protein interactions. Finally, binding site promiscuity can be assessed by large scale structural comparison with other targets. Common chemical features amongst protein cavities can predict potential cross-reactivity with unwanted targets.
authors: Sup'Biotech, Villejuif, France.
authors: Jean-Yves
authors: JY
authors: Trosset
authors: Nicolas
authors: N
authors: Vodovar
mesh_terms: D000465:Algorithms; D001665:Binding Sites / Q000187:drug effects*; D003198:Computer Simulation; D015195:Drug Design; D055808:Drug Discovery; D008958:Models, Molecular; D058990:Molecular Targeted Therapy; D011485:Protein Binding; D017434:Protein Structure, Tertiary; D011506:Proteins / Q000737:chemistry / Q000378:metabolism*
chemical_list: D011506:Proteins