Whereas
400 million distinct compounds are now purchasable within
the span of a few weeks, the biological activities of most are unknown.
To facilitate access to new chemistry for biology, we have combined
the Similarity Ensemble Approach (SEA) with the maximum Tanimoto similarity
to the nearest bioactive to predict activity for every commercially
available molecule in ZINC. This method, which we label SEA+TC, outperforms
both SEA and a naïve-Bayesian classifier via predictive performance
on a 5-fold cross-validation of ChEMBL’s bioactivity data set
(version 21). Using this method, predictions for over 40% of compounds
(>160 million) have either high significance (pSEA ≥ 40),
high
similarity (ECFP4MaxTc ≥ 0.4), or both, for one or more of
1382 targets well described by ligands in the literature. Using a
further 1347 less-well-described targets, we predict activities for
an additional 11 million compounds. To gauge whether these predictions
are sensible, we investigate 75 predictions for 50 drugs lacking a
binding affinity annotation in ChEMBL. The 535 million predictions
for over 171 million compounds at 2629 targets are linked to purchasing
information and evidence to support each prediction and are freely
available via and .
Ubiquitin is essential for eukaryotic life and varies in only 3 amino acid positions between yeast and humans. However, recent deep sequencing studies indicate that ubiquitin is highly tolerant to single mutations. We hypothesized that this tolerance would be reduced by chemically induced physiologic perturbations. To test this hypothesis, a class of first year UCSF graduate students employed deep mutational scanning to determine the fitness landscape of all possible single residue mutations in the presence of five different small molecule perturbations. These perturbations uncover 'shared sensitized positions' localized to areas around the hydrophobic patch and the C-terminus. In addition, we identified perturbation specific effects such as a sensitization of His68 in HU and a tolerance to mutation at Lys63 in DTT. Our data show how chemical stresses can reduce buffering effects in the ubiquitin proteasome system. Finally, this study demonstrates the potential of lab-based interdisciplinary graduate curriculum.DOI:
http://dx.doi.org/10.7554/eLife.15802.001
Summary
CNS chemical protection depends upon discrete control of small-molecule access by the blood-brain barrier (BBB). Curiously, some drugs cause CNS side effects despite negligible transit past the BBB. To investigate this phenomenon, we asked whether the highly BBB-enriched drug efflux transporter Mdr1 has dual functions in controlling drug and endogenous molecule CNS homeostasis. If this is true, then brain-impermeable drugs could induce behavioral changes by affecting brain levels of endogenous molecules. Using computational, genetic and pharmacologic approaches across diverse organisms we demonstrate that BBB-localized efflux transporters are critical for regulating brain levels of endogenous steroids, and steroid-regulated behaviors (sleep in Drosophila and anxiety in mice). Furthermore, we show that Mdr1-interacting drugs are associated with anxiety-related behaviors in humans. We propose a general mechanism for common behavioral side effects of prescription drugs: pharmacologically challenging BBB efflux transporters disrupts brain levels of endogenous substrates, and implicates the BBB in behavioral regulation.
We propose a general mechanism for common behavioral side effects of 63 prescription drugs: pharmacologically challenging BBB efflux transporters 64 disrupts brain levels of endogenous substrates, and implicates the BBB in 65 behavioral regulation.
Ubiquitin is essential for eukaryotic life and varies in only 3 amino acid positions between yeast and humans. However, recent deep sequencing studies indicate that ubiquitin is highly tolerant to single mutations. We hypothesized that this tolerance would be reduced by chemically induced physiologic perturbations. To test this hypothesis, a class of first year UCSF graduate students employed deep mutational scanning to determine the fitness landscape of all possible single residue mutations in the presence of five different small molecule perturbations. These perturbations uncover 'shared sensitized positions' localized to areas around the hydrophobic patch and the C-terminus. In addition, we identified perturbation specific effects such as a sensitization of His68 in HU and a tolerance to mutation at Lys63 in DTT. Our data show how chemical stresses can reduce buffering effects in the ubiquitin proteasome system. Finally, this study demonstrates the potential of lab-based interdisciplinary graduate curriculum.
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