The Rosetta software suite for macromolecular modeling, docking, and design is widely used in pharmaceutical, industrial, academic, non-profit, and government laboratories. Despite its broad modeling capabilities, Rosetta remains consistently among leading software suites when compared to other methods created for highly specialized protein modeling and design tasks. Developed for over two decades by a global community of over 60 laboratories, Rosetta has undergone multiple refactorings, and now comprises over three million lines of code. Here we discuss methods developed in the last five years in Rosetta, involving the latest protocols for structure prediction; protein-protein and protein-small molecule docking; protein structure and interface design; loop modeling; the incorporation of various types of experimental data; modeling of peptides, antibodies and proteins in the immune system, nucleic acids, non-standard chemistries, carbohydrates, and membrane proteins. We briefly discuss improvements to the energy function, user interfaces, and usability of the software. Rosetta is available at www.rosettacommons.org.
Neuropeptide Y (NPY) receptors belong to the G protein-coupled receptor (GPCR) superfamily and play important roles in food intake, anxiety and cancer regulation1,2. The NPY/Y receptor system has emerged as one of the most complex networks with three peptide ligands (NPY, peptide YY and pancreatic polypeptide) binding to four receptors in mammals, namely Y1, Y2, Y4 and Y5 receptors, with different affinity and selectivity3. NPY is the most powerful stimulant of food intake and this effect is primarily mediated by Y1 receptor (Y1R)4. A number of peptides and small-molecule compounds have been characterized as Y1R antagonists and have shown clinical potential in the treatment of obesity4, tumor1 and bone loss5. However, their clinical usage has been hampered by low potency and selectivity, poor brain penetration ability or lack of oral bioavailability6. Here we report crystal structures of the human Y1R bound to two selective antagonists UR-MK299 and BMS-193885 at 2.7 and 3.0 Å resolution, respectively. The structures combined with mutagenesis studies reveal binding modes of Y1R to several structurally diverse antagonists and determinants of ligand selectivity. The Y1R structure and molecular docking of the endogenous agonist NPY, together with nuclear magnetic resonance (NMR), photo-crosslinking and functional studies, provide insights into the binding behavior of the agonist and for the first time determine the interaction of its N terminus with the receptor. These insights into Y1R can enable structure-based drug discovery targeting NPY receptors.
Previously, we published an article
providing an overview of the
Rosetta suite of biomacromolecular modeling software and a series
of step-by-step tutorials [Kaufmann, K. W., et al. (2010) Biochemistry 49, 2987–2998]. The overwhelming positive
response to this publication we received motivates us to here share
the next iteration of these tutorials that feature de novo folding, comparative modeling, loop construction, protein docking,
small molecule docking, and protein design. This updated and expanded
set of tutorials is needed, as since 2010 Rosetta has been fully redesigned
into an object-oriented protein modeling program Rosetta3. Notable
improvements include a substantially improved energy function, an
XML-like language termed “RosettaScripts” for flexibly
specifying modeling task, new analysis tools, the addition of the
TopologyBroker to control conformational sampling, and support for
multiple templates in comparative modeling. Rosetta’s ability
to model systems with symmetric proteins, membrane proteins, noncanonical
amino acids, and RNA has also been greatly expanded and improved.
PurposeIn the present study we characterized a series of synthetic cannabinoids containing various heterocyclic scaffolds that had been identified as constituents of “Spice”, a preparation sold on the illicit drug market. All compounds were further investigated as potential ligands of the orphan receptors GPR18 and GPR55 that interact with some cannabinoids.MethodsThe compounds were studied in radioligand binding assays to determine their affinity for human cannabinoid CB1 and CB2 receptors expressed in CHO cells, and in cAMP accumulation assays to study their functionality.ResultsStructure-activity relationships were analyzed. The most potent CB1 receptor agonist of the present series MDMB-FUBINACA (12) (Ki = 98.5 pM) was docked into the human CB1 receptor structure, and a plausible binding mode was identified showing high similarity with that of the co-crystallized THC derivatives. MDMB-CHMCZCA (41) displayed a unique profile acting as a full agonist at the CB1 receptor subtype, but blocking the CB2 receptor completely. Only a few weakly potent antagonists of GPR18 and GPR55 were identified, and thus all compounds showed high CB receptor selectivity, mostly interacting with both subtypes, CB1 and CB2.ConclusionsThese results will be useful to assess the compounds’ toxicological risks and to guide legislation. Further studies on 41 are warranted.Electronic supplementary materialThe online version of this article (10.1007/s11419-018-0415-z) contains supplementary material, which is available to authorized users.
Here, we report that novel epidermal growth factor receptor (EGFR) gene fusions comprising the N-terminal of EGFR linked to various fusion partners, most commonly RAD51, are recurrent in lung cancer. We describe five patients with metastatic lung cancer whose tumors harbored EGFR fusions, four of whom were treated with EGFR tyrosine kinase inhibitors (TKIs) with documented anti-tumor responses. In vitro, EGFR-RAD51 fusions are oncogenic and can be therapeutically targeted with available EGFR TKIs and therapeutic antibodies. These results support the dependence of EGFR-rearranged tumors on EGFR-mediated signaling and suggest several therapeutic strategies for patients whose tumors harbor this novel alteration.
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