Dataset Information

Discrete molecular dynamics distinguishes nativelike binding poses from decoys in difficult targets.

ABSTRACT: Virtual screening is one of the major tools used in computer-aided drug discovery. In structure-based virtual screening, the scoring function is critical to identifying the correct docking pose and accurately predicting the binding affinities of compounds. However, the performance of existing scoring functions has been shown to be uneven for different targets, and some important drug targets have proven especially challenging. In these targets, scoring functions cannot accurately identify the native or near-native binding pose of the ligand from among decoy poses, which affects both the accuracy of the binding affinity prediction and the ability of virtual screening to identify true binders in chemical libraries. Here, we present an approach to discriminating native poses from decoys in difficult targets for which several scoring functions failed to correctly identify the native pose. Our approach employs Discrete Molecular Dynamics simulations to incorporate protein-ligand dynamics and the entropic effects of binding. We analyze a collection of poses generated by docking and find that the residence time of the ligand in the native and nativelike binding poses is distinctly longer than that in decoy poses. This finding suggests that molecular simulations offer a unique approach to distinguishing the native (or nativelike) binding pose from decoy poses that cannot be distinguished using scoring functions that evaluate static structures. The success of our method emphasizes the importance of protein-ligand dynamics in the accurate determination of the binding pose, an aspect that is not addressed in typical docking and scoring protocols.

SUBMITTER: Proctor EA

PROVIDER: S-EPMC3250674 | biostudies-literature | 2012 Jan

REPOSITORIES: biostudies-literature

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Discrete molecular dynamics distinguishes nativelike binding poses from decoys in difficult targets.

Proctor Elizabeth A EA Yin Shuangye S Tropsha Alexander A Dokholyan Nikolay V NV

Biophysical journal 20120103 1

Virtual screening is one of the major tools used in computer-aided drug discovery. In structure-based virtual screening, the scoring function is critical to identifying the correct docking pose and accurately predicting the binding affinities of compounds. However, the performance of existing scoring functions has been shown to be uneven for different targets, and some important drug targets have proven especially challenging. In these targets, scoring functions cannot accurately identify the na ...[more]

PMID: 22225808

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Project description:In mouse embryonic cells, a retinoic acid (RA) stimulation triggers a massive change of gene expression leading the pluripotent, proliferating cells to a lineage-specific differentiation process. The retinoic acid receptor (RAR) plays a key role in this response by inhibiting pluripotency-maintaining genes and simultaneously activating some major actors of cell differentiation. To investigate the mechanism underlying this dual regulation, we performed joint RAR/RXR ChIP-seq and mRNA-seq time series during the first 48 hours of the RA-induced Primitive Endoderm differentiation process in F9 embryonic carcinoma cells. We detected significantly more RAR/RXR binding regions than previous studies and identified among them a handful of typical binding intensity patterns during differentiation. We demonstrate that these patterns are correlated with the coincidental binding of essential transcription factors (TFs) for pluripotency maintenance or PrE differentiation of embryonic stem (ES) cells, as well as the presence of variants of RAR binding motifs. Most importantly, early-bound regions coincide with pluripotency-associated transcription factor binding in ES (like Pou5f1, Sox2, Esrrb and Nr5a2) and display an increased frequency of the DR0 type RAR binding motifs; late-bound sites are associated to the PrE marker Sox17 and are enriched in the canonical DR5 binding motif. Our data offer an unprecedently detailed view on the action of RA in triggering pluripotent cell differentiation. Altogether, this work sheds light on the relocation of RAR/RXR binding sites throughout differentiation, and shows how RAR/RXR progressively shift from DR0 enriched regions, which were specifically identified in undifferentiated models, to canonical RAR binding sites containing loci. Time course (0, 2, 6, 12, 24, 48h) after stimulation of F9 cultured cells by retinoic acid: PanRAR and PanRXR ChIP-seq at 0, 2, 24 and 48h (no replicate); WCE-seq at 0h (no replicate); mRNA-seq at 0, 6, 12, 24, 48h (2 replicates except for time 0h, 4 replicates). Additionally, a control time course (culture in DMSO) sampled at 24 and 48h (no replicates).

Dataset Information

Discrete molecular dynamics distinguishes nativelike binding poses from decoys in difficult targets.

Publications

Discrete molecular dynamics distinguishes nativelike binding poses from decoys in difficult targets.

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