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Daniel N Bolon

Publications and source records attributed to Daniel N Bolon.

8 recordsLinked to original sources

Specificity versus stability in computational protein design.

Protein-protein interactions can be designed computationally by using positive strategies that maximize the stability of the desired structure and/or by negative strategies that seek to destabilize competing states. Here, we compare the efficacy of these methods in reengineering a protein homodimer into a heterodimer. The stability-design protein (positive design only) was experimentally more stable than the specificity-design heterodimer (positive and negative design). By contrast, only the specificity-design protein assembled as a homogenous heterodimer in solution, whereas the stability-design protein formed a mixture of homodimer and heterodimer species. The experimental stabilities of the engineered proteins correlated roughly with their calculated stabilities, and the crystal structure of the specificity-design heterodimer showed most of the predicted side-chain packing interactions and a main-chain conformation indistinguishable from the wild-type structure. These results indicate that the design simulations capture important features of both stability and structure and demonstrate that negative design can be critical for attaining specificity when competing states are close in structure space.

Bacterial Proteins↗

Asymmetric interactions of ATP with the AAA+ ClpX6 unfoldase: allosteric control of a protein machine.

ATP hydrolysis by AAA+ ClpX hexamers powers protein unfolding and translocation during ClpXP degradation. Although ClpX is a homohexamer, positive and negative allosteric interactions partition six potential nucleotide binding sites into three classes with asymmetric properties. Some sites release ATP rapidly, others release ATP slowly, and at least two sites remain nucleotide free. Recognition of the degradation tag of protein substrates requires ATP binding to one set of sites and ATP or ADP binding to a second set of sites, suggesting a mechanism that allows repeated unfolding attempts without substrate release over multiple ATPase cycles. Our results rule out concerted hydrolysis models involving ClpX(6)*ATP(6) or ClpX(6)*ADP(6) and highlight structures of hexameric AAA+ machines with three or four nucleotides as likely functional states. These studies further emphasize commonalities between distant AAA+ family members, including protein and DNA translocases, helicases, motor proteins, clamp loaders, and other ATP-dependent enzymes.

Adenosine Diphosphate↗

Nucleotide-dependent substrate handoff from the SspB adaptor to the AAA+ ClpXP protease.

The SspB adaptor enhances ClpXP degradation by binding the ssrA degradation tag of substrates and the AAA+ ClpX unfoldase. To probe the mechanism of substrate delivery, we engineered a disulfide bond between the ssrA tag and SspB and demonstrated otherwise normal interactions by solving the crystal structure. Although the covalent link prevents adaptor.substrate dissociation, ClpXP degraded GFP-ssrA that was disulfide bonded to the adaptor. Thus, crosslinked substrate must be handed directly from SspB to ClpX. The ssrA tag in the covalent adaptor complex interacted with ClpX.ATPgammaS but not ClpX.ADP, suggesting that handoff occurs in the ATP bound enzyme. By contrast, SspB alone bound ClpX in both nucleotide states. Similar handoff mechanisms will undoubtedly be used by many AAA+ adaptors and enzymes, allowing assembly of delivery complexes in either nucleotide state, engagement of the recognition tag in the ATP state, and application of an unfolding force to the attached protein following hydrolysis.

Adenosine Diphosphate↗

Sculpting the proteome with AAA(+) proteases and disassembly machines.

Machines of protein destruction-including energy-dependent proteases and disassembly chaperones of the AAA(+) ATPase family-function in all kingdoms of life to sculpt the cellular proteome, ensuring that unnecessary and dangerous proteins are eliminated and biological responses to environmental change are rapidly and properly regulated. Exciting progress has been made in understanding how AAA(+) machines recognize specific proteins as targets and then carry out ATP-dependent dismantling of the tertiary and/or quaternary structure of these molecules during the processes of protein degradation and the disassembly of macromolecular complexes.

Adaptor Proteins, Vesicular Transport↗

Bivalent tethering of SspB to ClpXP is required for efficient substrate delivery: a protein-design study.

SspB homodimers deliver ssrA-tagged substrates to ClpXP for degradation. SspB consists of a substrate binding domain and an unstructured tail with a ClpX binding module (XB). Using computational design, we engineered an SspB heterodimer whose subunits did not form homodimers. Experiments with the designed molecule and variants lacking one or two tails demonstrate that both XB modules are required for strong binding and efficient substrate delivery to ClpXP. Assembly of stable SspB-substrate-ClpX delivery complexes requires the coupling of weak tethering interactions between ClpX and the SspB XB modules as well as interactions between ClpX and the substrate degradation tag. The ClpX hexamer contains three XB binding sites, one per N domain dimer, and thus binds strongly to just one SspB dimer at a time. Because different adaptor proteins use the same tethering sites in ClpX, those which employ bivalent tethering, like SspB, will compete more effectively for substrate delivery to ClpXP.

Adenosine Triphosphatases↗

Prudent modeling of core polar residues in computational protein design.

Hydrogen bond interactions were surveyed in a set of protein structures. Compared to surface positions, polar side-chains at core positions form a greater number of intra-molecular hydrogen bonds. Furthermore, the majority of polar side-chains at core positions form at least one hydrogen bond to main-chain atoms that are not involved in hydrogen bonds to other main-chain atoms. Based on this structural survey, hydrogen bond rules were generated for each polar amino acid for use in protein core design. In the context of protein core design, these prudent polar rules were used to eliminate from consideration polar amino acid rotamers that do not form a minimum number of hydrogen bonds. As an initial test, the core of Escherichia coli thioredoxin was selected as a design target. For this target, the prudent polar strategy resulted in a minor increase in computational complexity compared to a strategy that did not allow polar residues. Dead-end elimination was used to identify global minimum energy conformations for the prudent polar and no polar strategies. The prudent polar strategy identified a protein sequence that was thermodynamically stabilized by 2.5 kcal/mol relative to wild-type thioredoxin and 2.2 kcal/mol relative to a thioredoxin variant whose core was designed without polar residues.

Amino Acid Sequence↗

Flexible linkers leash the substrate binding domain of SspB to a peptide module that stabilizes delivery complexes with the AAA+ ClpXP protease.

SspB dimers bind proteins bearing the ssrA-degradation tag and stimulate their degradation by the ClpXP protease. Here, E. coli SspB is shown to contain a dimeric substrate binding domain of 110-120 N-terminal residues, which binds ssrA-tagged substrates but does not stimulate their degradation. The C-terminal 40-50 residues of SspB are unstructured but are required for SspB to form substrate-delivery complexes with ClpXP. A synthetic peptide containing the 10 C-terminal residues of SspB binds ClpX, stimulates its ATPase activity, and prevents SspB-mediated delivery of GFP-ssrA for ClpXP degradation. This tripartite structure--an ssrA-tag binding and dimerization domain, a flexible linker, and a short peptide module that docks with ClpX--allows SspB to deliver tagged substrates to ClpXP without interfering with their denaturation or degradation.

ATPases Associated with Diverse Cellular Activitie↗

De novo design of biocatalysts.

The challenging field of de novo enzyme design is beginning to produce exciting results. The application of powerful computational methods to functional protein design has recently succeeded at engineering target activities. In addition, efforts in directed evolution continue to expand the transformations that can be accomplished by existing enzymes. The engineering of completely novel catalytic activity requires traversing inactive sequence space in a fitness landscape, a feat that is better suited to computational design. Optimizing activity, which can include subtle alterations in backbone conformation and protein motion, is better suited to directed evolution, which is highly effective at scaling fitness landscapes towards maxima. Improved rational design efforts coupled with directed evolution should dramatically improve the scope of de novo enzyme design.

Antibodies, Catalytic↗