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Golden, K.

Publications and source records attributed to Golden, K..

2 recordsLinked to original sources

Design principles of the common Gly-X6-Gly membrane protein building block

Protein behavior in lipid is poorly understood and inadequately represented in current computational models. Design and prediction abilities for bilayer-embedded molecular structures may be improved by characterizing membrane proteins most frequent, favored structural features to glean both context-specific and general principles. We used protein design to proactively interrogate the sequence-structure relationship and stabilizing atomic details of two highly prevalent antiparallel transmembrane (TM) motifs with Small-X6-Small consensus sequences. A fragment-based data-mining and sequence statistical inference method including cross-evolutionary structure-aligned covariance enabled engineering of de novo multi-span TM protein assemblies by successfully encoding Gly-X6-Gly and Ala-X6-Ala building blocks. A highly stable glycine-based designs X-ray structure hosts C-H{middle dot}{middle dot}{middle dot}O=C H-bonding alongside extensive backbone-directed van der Waals packing, idealizing features of this motif in Nature. Data-driven design navigates sequence space to directly inquiry upon how to encode and stabilize vital membrane protein structural elements, facilitating efficacious construction of lipid-embedded architectures of increasing complexity. SignificanceMembrane proteins comprised of -helices pack together within lipid bilayers, establishing stabilities and architectures that brace function and guide evolution. De novo design was used to clarify the consensus sequences and molecular features encoding of one exceedingly common TM helix packing architecture ([~]10% of those in membrane folds). Small-X6-Small residue patterns were proven to reliably drive minimal proteins into these antiparallel TM geometries, revealing glycine mainchain hydrogen bonding or via fully apolar interfaces can encode the motif. Optimizing steric packing was the most decisive feature amongst the synthetic proteins. New membrane-specific design methods and model molecules are validated in route to outlining this important sequence-structure relationship broadly impacting the membrane proteome and revealing generalized structure-energetic imperatives governing interactions in lipid.

biophysics↗

Characterizing venom resistance in Monodelphis domestica yields new insights into mammalian blood physiology

Interactions between predators and prey are often characterized by strong selection pressures that shape extreme physiological adaptations. Venom resistance in large-bodied South American opossums (Clade Didelphini) is a striking example, as these marsupials prey on venomous snakes and exhibit remarkable resistance to their venom. While resistance is well documented in Didelphini, relatively little is known about venom resistance in the smaller, more diverse members of Didelphidae, which inhabit the same regions and encounter the same predators. Here, we investigate venom resistance in the small-bodied opossum, Monodelphis domestica, through multi-level physiological assays, examining responses to purified venom components and whole venom from sympatric and allopatric vipers. Our results show M. domestica resists venom-induced disruptions to blood coagulation, retains platelet function in the presence of platelet-disrupting venoms, and inhibits snake venom metalloproteinases. Unexpectedly, we find that M. domestica von Willebrand Factor (VWF) requires increased shear force to elongate, a previously unknown aspect of opossum blood physiology that may contribute to venom resistance and may have relevance to human coagulopathies. These findings expand the extent of venom resistance beyond large-bodied Didelphini, suggesting it is a widespread trait in South American marsupials and providing new insights into venom-mammal coevolution. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=140 SRC="FIGDIR/small/634112v2_ufig1.gif" ALT="Figure 1"> View larger version (67K): org.highwire.dtl.DTLVardef@1efb74forg.highwire.dtl.DTLVardef@ebcb82org.highwire.dtl.DTLVardef@7ddef2org.highwire.dtl.DTLVardef@1b81569_HPS_FORMAT_FIGEXP M_FIG C_FIG

evolutionary biology↗