Biology subjects

Bender, B. J.

Publications and source records attributed to Bender, B. J..

3 recordsLinked to original sources

bioRxiv2023

Structure-Based Discovery of a NPFF1R Antagonist with Analgesic Activity

While opioid drugs remain among the most effective analgesics for pain management, adverse effects limit their use. Molecules that synergize with opioids, increasing analgesia without increasing side effects, could prove beneficial. A potential way to do so is via the RF-amide receptor system, as NPFFR1 agonists reduce {micro}- opioid receptor ({micro}OR)-based analgesia while antagonists increase it. These inferences are, however, clouded by the lack of selectivity of most NPFF1R ligands. Seeking selective antagonists of the NPFF1R, we screened a large virtual library against a homology model of NPFF1R. From 26 high-ranking molecules that were synthesized and tested, one antagonized NPFF1R with a Ki of 319 nM. Structure-based optimization led to a 22 nM antagonist of NPFF1R, compound 56, with selectivity against a large panel of GPCRs. When administered alone, 56 has no activity in mouse tail-flick nociception assays. However, coadministration of compound 56 and morphine produced significantly greater antinociception than did morphine alone, consistent with the notion that NPFF1R nociceptive activity occurs via modulation of {micro}OR signaling. Surprisingly, in the hot-plate assays 56 was analgesic by itself, suggesting that NPFF1R alone can also confer analgesia. At equi-analgesic doses, combinations of 56 with morphine reduced the common constipation side effect of morphine versus using morphine alone. The high selectivity of 56 and its activity in cooperation with morphine supports further analgesic development against NPFF1R and against the RF-amide family of receptors more generally.

pharmacology and toxicology↗

bioRxiv2022

Rosetta 's Predictive Ability for Low-Affinity Ligand Binding in Fragment-Based Drug Discovery

Fragment-based drug discovery begins with the identification of small molecules with a molecular weight of usually less than 250 Da that weakly bind to the protein of interest. This technique is challenging for computational docking methods as binding is determined by only a few specific interactions. Inaccuracies in the energy function or slight deviations in the docking pose can lead to the prediction of incorrect binding or difficulties in ranking fragments in in silico screening. Here we test RosettaLigand by docking a series of fragments to a cysteine-depleted variant of the TIM-barrel protein, HisF. We compare the computational results with experimental NMR spectroscopy screens. NMR spectroscopy gives details on binding affinities of individual ligands, which allows assessment of the ligand-ranking ability by RosettaLigand, and also provides feedback on the location of the binding pocket, which serves as a reliable test of RosettaLigands ability to identify plausible binding poses. From a library screen of 3456 fragments, we identified a set of 31 ligands with intrinsic affinities to HisF with dissociation constants as low as 400 {micro}M. The same library of fragments was blindly screened in silico. RosettaLigand was able to rank binders before non-binders with an area under the curve (AUC) of the receiver operating characteristics (ROC) of 0.74. The docking poses observed for binders agreed with the binding pocket identified by NMR chemical shift perturbations for all fragments. Taken together, these results provide a baseline performance of RosettaLigand in a fragment-based drug discovery setting.

biochemistry↗

bioRxiv2019

Molecular Basis for the Evolved Instability of a Human G-Protein Coupled Receptor

Membrane proteins are prone to misfolding and degradation. This is particularly true for mammalian forms of the gonadotropin-releasing hormone receptor (GnRHR). Though they function at the plasma membrane, mammalian GnRHRs tend to accumulate within the secretory pathway. Their apparent instability is believed to have evolved in response to selection for attenuated GnRHR activity. Nevertheless, the structural basis of this adaptation remains unclear. We find that this adaptation coincides with a C-terminal truncation and an increase in the polarity of its transmembrane (TM) domains. This enhanced polarity compromises the translocon-mediated cotranslational folding of two TM domains. Moreover, replacing a conserved polar residue in TM6 with an ancestral hydrophobic residue partially restores GnRHR expression with minimal impact on function. An evolutionary analysis suggests variations in the polarity of this residue are associated with reproductive differences. Our findings suggest the marginal energetics of cotranslational folding can be exploited to tune membrane protein fitness.

biochemistry↗