Dataset Information

Binding mode information improves fragment docking.

ABSTRACT: Docking is commonly used in drug discovery to predict how ligand binds to protein target. Best programs are generally able to generate a correct solution, yet often fail to identify it. In the case of drug-like molecules, the correct and incorrect poses can be sorted by similarity to the crystallographic structure of the protein in complex with reference ligands. Fragments are particularly sensitive to scoring problems because they are weak ligands which form few interactions with protein. In the present study, we assessed the utility of binding mode information in fragment pose prediction. We compared three approaches: interaction fingerprints, 3D-matching of interaction patterns and 3D-matching of shapes. We prepared a test set composed of high-quality structures of the Protein Data Bank. We generated and evaluated the docking poses of 586 fragment/protein complexes. We observed that the best approach is twice as accurate as the native scoring function, and that post-processing is less effective for smaller fragments. Interestingly, fragments and drug-like molecules both proved to be useful references. In the discussion, we suggest the best conditions for a successful pose prediction with the three approaches.

SUBMITTER: Jacquemard C

PROVIDER: S-EPMC6431075 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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Binding mode information improves fragment docking.

Jacquemard Célien C Drwal Malgorzata N MN Desaphy Jérémy J Kellenberger Esther E

Journal of cheminformatics 20190322 1

Docking is commonly used in drug discovery to predict how ligand binds to protein target. Best programs are generally able to generate a correct solution, yet often fail to identify it. In the case of drug-like molecules, the correct and incorrect poses can be sorted by similarity to the crystallographic structure of the protein in complex with reference ligands. Fragments are particularly sensitive to scoring problems because they are weak ligands which form few interactions with protein. In th ...[more]

PMID: 30903304

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Project description:Praziquantel (PZQ) is the treatment of choice for schistosomiasis, one of the most important but neglected tropical diseases. Recently, however, Schistosoma have exhibited reduced susceptibility to PZQ, and an urgent need to develop new drugs to treat schistosomiasis has emerged. Thioredoxin glutathione reductase (TGR) plays a crucial role in the redox balance of the parasite, combining glutaredoxin (Grx), glutathione reductase and thioredoxin reductase (TR) activities. Several compounds, including oxadiazole 2‑oxides, phosphinic acid amides, isoxazolones and phosphoramidites, have been identified as agents that inhibit TGR from Schistosoma mansoni (smTGR) and exhibit anti‑schistosomal activity. 4‑Phenyl‑1,2,5‑oxadiazole‑3‑carbonitrile‑2‑oxide has also been shown to be active against TGR from Schistosoma japonicum (sjTGR). The binding sites of these inhibitors, however, remain unclear. To explore the binding interactions of these compounds, we selected six compounds to dock into the NADPH binding site, the active site of the TR domain and the Grx active site of both smTGR and sjTGR using AutoDock 4.2.5.1. The results suggested that the most favoured binding site for all compounds in either sjTGR or smTGR was the oxidised glutathione‑binding pocket of the TR domain. Although all of the compounds could fit into the sjTGR site, the inhibition efficiency of these compounds towards sjTGR was marginally lower than it was towards smTGR, suggesting that it would be necessary to design specific inhibitors of TGR for different Schistosoma species. The docking results showed that all compounds docking in smTGR and sjTGR adopted similar binding modes in the TR domain. Two peptide fragments from another subunit, Phe505'‑Leu508' and Pro572'‑Thr577', played a critical role in the interactions with the inhibitors. In conclusion, the present study has revealed binding mechanisms for potential inhibitors of Schistosoma TGRs and could lead to structure‑based ligand design and the development of new anti-schistosomiasis drugs.

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Binding mode information improves fragment docking.

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Binding mode information improves fragment docking.

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