A computational study of the stem cell factor (SCF) and potential ligands was carried out starting with a crystallographic model deposited in the protein data bank. The inhibition of the SCF dimerization equilibrium was considered as the rationale for the lead identi?cation of spe- ci?c ligands. A preliminary molecular dynamics characteri- zation of the SCF dimer allowed to verify the most ?exible loop involved in the dimeric area. Then a virtual screening, coupled with energy minimization in GB/SA water, scored the compounds implemented in the NCI diversity molecu- lar database. Ten top ranked ligands were analyzed conside- ring both the SCF loop perturbation in the dimerization area and the network of intermolecular hydrogen bonds. Among these ten compounds two natural agents were identi?ed. The computational work revealed useful new insights for rational design of novel SCF dimerization inhibitors.

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