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. Author manuscript; available in PMC: 2017 May 12.
Published in final edited form as: J Med Chem. 2015 Jul 10;59(9):4152–4170. doi: 10.1021/acs.jmedchem.5b00150

Figure 3. Virtual screening benchmark experiment using protein structures from “pocket optimization” simulations.

Figure 3

(A) This benchmark experiment involves discrimination of the same active versus “decoy” compounds as in Figure 2, however this time compounds were screened against a protein conformation generated via “pocket optimization” simulations initiated from an unbound crystal structure (instead of protein conformations from an inhibitor-bound crystal structure) [16]. The results are again presented on a semi-log plot to highlight the “early” performance of the methods; the grey curve indicates the random retrieval of compounds (i.e. a random predictor). (B) Models of representative active compounds docked by DARC to the “pocket optimized” conformation of Bcl-xL (left) or XIAP (right). (C) The performance of DARC in this benchmark is essentially equivalent when screening against a known ligand-bound structure (solid black line), the lowest-energy “pocket optimized” conformations (i.e. as described in the previous panels) (solid red line), or any of five other low-energy “pocket optimized” conformations (dashed red lines); this observation demonstrates the insensitivity of the method to details of the protein structure.