36 research outputs found

    De Novo Evolutionary Emergence of a Symmetrical Protein Is Shaped by Folding Constraints.

    Get PDF
    Molecular evolution has focused on the divergence of molecular functions, yet we know little about how structurally distinct protein folds emerge de novo. We characterized the evolutionary trajectories and selection forces underlying emergence of β-propeller proteins, a globular and symmetric fold group with diverse functions. The identification of short propeller-like motifs (<50 amino acids) in natural genomes indicated that they expanded via tandem duplications to form extant propellers. We phylogenetically reconstructed 47-residue ancestral motifs that form five-bladed lectin propellers via oligomeric assembly. We demonstrate a functional trajectory of tandem duplications of these motifs leading to monomeric lectins. Foldability, i.e., higher efficiency of folding, was the main parameter leading to improved functionality along the entire evolutionary trajectory. However, folding constraints changed along the trajectory: initially, conflicts between monomer folding and oligomer assembly dominated, whereas subsequently, upon tandem duplication, tradeoffs between monomer stability and foldability took precedence.We thank Michael Gurevitz (Tel Aviv University), John Finnerty (Boston University) and Adam Reitzel (Woodshole Oceanographic Institute) for providing N. vectensis cDNA, and Joseph Rogers (University of Cambridge) for discussion and assistance. We thank Liam Longo, Ron Milo and Balaji Santhanam for insightful comments on this manuscript. This work was supported by the Israel Science Foundation grant 980/14 (DST), the Weizmann - UK Joint Research Program (DST and JC), the Weizmann Koshland and Dean of Faculty fellowships (RGS) and an EMBO short-term fellowship (RGS). JC is a Wellcome Trust Fellow (WT 095195).This is the final version of the article. It first appeared from Elsevier via http://dx.doi.org/10.1016/j.cell.2015.12.02

    An interdomain sector mediating allostery in Hsp70 molecular chaperones

    Get PDF
    The Hsp70 family of molecular chaperones provides a well defined and experimentally powerful model system for understanding allosteric coupling between different protein domains.New extensions to the statistical coupling analysis (SCA) method permit identification of a group of co-evolving amino-acid positions—a sector—in the Hsp70 that is associated with allosteric function.Literature-based and new experimental studies support the notion that the protein sector identified through SCA underlies the allosteric mechanism of Hsp70.This work extends the concept of protein sectors by showing that two non-homologous protein domains can share a single sector when the underlying biological function is defined by the coupled activity of the two domains

    Activation of PKA via asymmetric allosteric coupling of structurally conserved cyclic nucleotide binding domains

    Get PDF
    Cyclic nucleotide-binding (CNB) domains allosterically regulate the activity of proteins with diverse functions, but the mechanisms that enable the cyclic nucleotide-binding signal to regulate distant domains are not well understood. Here we use optical tweezers and molecular dynamics to dissect changes in folding energy landscape associated with cAMP-binding signals transduced between the two CNB domains of protein kinase A (PKA). We find that the response of the energy landscape upon cAMP binding is domain specific, resulting in unique but mutually coordinated tasks: one CNB domain initiates cAMP binding and cooperativity, whereas the other triggers inter-domain interactions that promote the active conformation. Inter-domain interactions occur in a stepwise manner, beginning in intermediate-liganded states between apo and cAMP-bound domains. Moreover, we identify a cAMP-responsive switch, the N3A motif, whose conformation and stability depend on cAMP occupancy. This switch serves as a signaling hub, amplifying cAMP-binding signals during PKA activation

    Finding the Fittest Fold: Using the Evolutionary Record to Design New Proteins

    Get PDF
    For many years, the holy grail of protein engineering has been the design of artificial amino acid sequences that fold into stable proteins with desired functions. In the current issue of Nature, two papers from the Ranganathan group (Russ et al., 2005; Socolich et al., 2005) report remarkable success in the design of artificial WW domains. Their method, termed statistical coupling analysis (Lockless and Ranganathan, 1999), does not use structural or physicochemical information but instead extracts information about essential patterns of amino acids from the evolutionary record
    corecore