Computational Fragment-Based Approach at PDB Scale by Protein Local Similarity

The large volume of protein−ligand structures now available enables innovative and efficient protocols in computational FBDD (Fragment-Based Drug Design) to be proposed based on experimental data. In this work, we build a database of MED-Portions, where a MED-Portion is a new structural object encoding protein-fragment binding sites. MED-Portions are derived from mining all available protein−ligand structures with any library of small molecules. Combined with the MED-SuMo software to superpose similar protein interaction surfaces, pools of matching MED-Portions can be retrieved from any binding surface query. The rapidity of this technology allows its application to a diverse set of 107 protein binding sites. The selectivity of the protocol is shown by a qualitative correlation between the average hydrophobicity of the pools of MED-Portions and those of the binding sites. To generate hitlike molecules, MED-Portions are combined in 3D with the MED-Hybridise toolkit. Our MED-Portion/MED-SuMo/MED-Hybridise p...