Biology subjects

Barrick, D.

Publications and source records attributed to Barrick, D..

9 recordsLinked to original sources

bioRxiv2025

Protein stability is determined by single-site bias rather than pairwise covariance

The biases revealed in protein sequence alignments have been shown to provide information related to protein structure, stability, and function. For example, sequence biases at individual positions can be used to design consensus proteins that are often more stable than naturally occurring counterparts. Likewise, correlations between pairs of residue can be used to predict protein structures. Recent work using Potts models show that together, single-site biases and pair correlations lead to improved predictions of protein fitness, activity, and stability. Here we use a Potts model to design groups of protein sequences with different amounts of single-site biases and pair correlations, and determine the thermodynamic stabilities of a representative set of sequences from each group. Surprisingly, sequences excluding pair correlations maximize stability, whereas sequences that maximize pair correlations are less stable, suggesting that pair correlations contribute to another aspect of protein fitness. Consistent with this interpretation, we find that for adenylate kinase, enzyme activity is greatly increased by maximizing pair correlations. The finding that elimination of covariant residue pairs increases protein stability suggests a route to enhance stability of designed proteins; indeed, this strategy produces hyperstable homeodomain and adenylate kinase proteins that retain significant activity. Significance statementRecent methods for protein structure analysis and design have used sequence covariance to help predict protein structure, stability, and function. Here, by designing homeodomain and adenylate kinase sequences with different amounts of single-site bias and pairwise covariance, we find that stability is solely determined by single-site bias but not pairwise covariance. However, pairwise covariance makes an important contribution to catalysis in adenylate kinase. Our findings suggest a new way to generate highly stable proteins: by separating single-site biases from pairwise covariance, the single-site coefficients can be used to design proteins with stabilities even higher than those obtained by consensus design.

biophysics↗

bioRxiv2024

Reliable amplification of highly repetitive or low complexity sequence DNA enabled by superhelicase-mediated isothermal amplification

PCR is a cornerstone of molecular biology, but many biologically important DNA templates remain difficult to amplify. Long tandem repeats, low-complexity tracts, and sequences with extreme base composition often yield low product levels, smeared bands, stutter products, or truncated amplicons. These failures can arise because repeated cycles of thermal denaturation and reannealing promote off-register annealing, polymerase slippage, secondary-structure formation, and incomplete extension. Previously, we developed SSB-Helicase Assisted Rapid PCR (SHARP), an isothermal amplification method in which an engineered superhelicase and single-stranded DNA-binding protein replace the thermal melting step of PCR with enzymatic strand separation. Here, we tested whether SHARP can improve amplification of templates that are refractory to conventional PCR. SHARP robustly amplified up to six identical tandem repeats of the Widom 601 nucleosome-positioning sequence and up to 35 identical ankyrin repeats, targets that were poorly amplified by conventional PCR under the conditions tested. SHARP also amplified templates with extreme base composition, including a 95% AT-rich template and GC-rich templates (up to ~95% GC), as well as a 99-repeat CGG tract associated with Fragile X syndrome and a CAG/CAA repeat tract from mutant HTT exon 1 associated with Huntington disease. Together, these results show that helicase-driven isothermal amplification can expand access to repetitive and compositionally extreme DNA sequences that are challenging for conventional thermocycling-based PCR.

bioengineering↗

bioRxiv2024

Thermodynamics of Bivalent Heterotrimer Association in the Notch Signaling Pathway

The Notch signaling pathway regulates cellular differentiation by activating transcription through an unusual heterotrimeric complex comprising the Notch receptors intracellular domain (NICD), the DNA-binding protein CSL, and the coactivator MAML. NICD has two binding sites for CSL, a short motif in the RAM region and an ankyrin domain (ANK), connected by an intrinsically disordered linker and which form a bivalent ternary complex with CSL and MAML. Although bivalency is required for maximal transcription activation, the energetic contributions of bivalency and heterotrimer formation within this essential complex are unknown. To elucidate the energetics of bivalency we first determine the free energy of the CSL-ANK-MAML heterotrimer, using isothermal titration calorimetry and developing an obligate heterotrimer model to analyze the data. By comparing this heterotrimerization reaction with binding reactions involving different regions of RAMANK, we determine the energetic contribution of bivalency to heterotrimer assembly. We show that bivalency through the disordered linker increases the effective concentration of ANK, and that the bivalent interaction enhances occupancy of RAM and ANK at their binding sites on CSL by about three orders of magnitude. By redefining the standard state to a lower, more physiological protein concentration, we reveal the importance of the RAMANK intrinsically disordered linker for assembly of the Notch transcription activation complex. This work provides a framework whereby the energetic contributions of intrinsically disordered linkers to higher-order multivalent assembly may be analyzed.

biophysics↗

bioRxiv2023

Unravelling Paralog-Specific Notch Signaling through Ternary Complex Stability and Transcriptional Activation Measurements Using Chimeric Receptors

Notch signaling is mediated by four paralogous receptors with conserved architectures and overlapping yet non-redundant functions. Notch signaling generates a transcriptional activation complex (NTC) wherein the N-terminal RAM and ankyrin repeat (ANK) regions of the Notch intracellular domain (NICD) bind transcription factor CSL and recruit co-activator Mastermind-like (MAML). To better understand paralog-specific differences in Notch signaling, we analyzed the thermodynamics of binary and ternary NTCs for all four Notch paralogues and chimeric constructs. We find that RAMANK:CSL stability ({Delta}GRA) is primarily determined by the RAM region while MAML binding to preformed RAMANK:CSL complexes ({Delta}GMAML) is largely determined by the ANK region. We determined transcriptional activation data for the paralogous and chimeric NICDs and analyzed the data with an independent multiplicative model. This analysis shows ternary complex stability ({Delta}GTC, where {Delta}GTC= {Delta}GRA+{Delta}GMAML) correlates well with transcriptional activations and provides insights into contributions of RAM, ANK and the C-terminal regions to Notch signaling.

biophysics↗

bioRxiv2023

The importance of input sequence set to consensus-derived proteins and their relationship to reconstructed ancestral proteins

A protein sequence encodes its energy landscape - all the accessible conformations, energetics, and dynamics. The evolutionary relationship between sequence and landscape can be probed phylogenetically by compiling a multiple sequence alignment of homologous sequences and generating common ancestors via Ancestral Sequence Reconstruction or a consensus protein containing the most common amino acid at each position. Both ancestral and consensus proteins are often more stable than their extant homologs - questioning the differences and suggesting that both approaches serve as general methods to engineer thermostability. We used the Ribonuclease H family to compare these approaches and evaluate how the evolutionary relationship of the input sequences affects the properties of the resulting consensus protein. While the overall consensus protein is structured and active, it neither shows properties of a well-folded protein nor has enhanced stability. In contrast, the consensus protein derived from a phylogenetically-restricted region is significantly more stable and cooperatively folded, suggesting that cooperativity may be encoded by different mechanisms in separate clades and lost when too many diverse clades are combined to generate a consensus protein. To explore this, we compared pairwise covariance scores using a Potts formalism as well as higher-order couplings using singular value decomposition (SVD). We find the SVD coordinates of a stable consensus sequence are close to coordinates of the analogous ancestor sequence and its descendants, whereas the unstable consensus sequences are outliers in SVD space.

biophysics↗

bioRxiv2021

Surface residues and non-additive interactions stabilize a consensus homeodomain protein

Despite the widely reported success of consensus design in producing highly stabilized proteins, little is known about the physical mechanisms underlying this stabilization. Here we explore the potential sources of stabilization by performing a systematic analysis of the 29 substitutions that we previously found to collectively stabilize a consensus homeodomain compared to an extant homeodomain. By separately introducing groups of consensus substitutions that alter or preserve charge state, occur at varying degrees of residue burial, and occur at positions of varying degrees of conservation, we determine the extent to which these three features contribute to the consensus stability enhancement. Surprisingly, we find that the largest total contribution to stability comes from consensus substitutions on the protein surface and that the largest per-substitution contributions come from substitutions that maintain charge state, suggesting that although consensus proteins are often enriched in charged residues, consensus stabilization does not result primarily from charge-charge interactions. Although consensus substitutions at strongly conserved positions also contribute disproportionately to stabilization, significant stabilization is also contributed from substitutions at weakly conserved positions. Furthermore, we find that identical consensus substitutions show larger stabilizing effects when introduced into the consensus background than when introduced into an extant homeodomain, indicating that synergistic, stabilizing interactions among the consensus residues contribute to consensus stability enhancement of the homeodomain. Significance StatementProteins composed of consensus sequences from multiple sequence alignments are often more stable than extant proteins used to create them. Often about half the residues in a consensus protein differ from those of extant proteins. The contributions of these differences to stability are unknown. Here we substitute groups of residues with different properties (conservation, charge variation, solvent accessibility) to determine which substitutions lead to consensus stabilization. We find that surface and charge-conserving substitutions contribute to stability, that weakly-conserved substitutions make a significant collective contribution to stability, and that there is a significant non-additive contribution to stability in the consensus background. These results provide insights to the sequence origins of consensus stabilization and the evolutionary constraints that determine protein sequences.

biophysics↗

bioRxiv2020

A collection of programs for one-dimensional Ising analysis of linear repeat proteins with point substitutions

A collection of programs is presented to analyze the thermodynamics of folding of linear repeat proteins using a 1D Ising model to determine intrinsic folding and interfacial coupling free energies. Expressions for folding transitions are generated for a series of constructs with different repeat numbers and are globally fitted to transitions for these constructs. These programs are designed to analyze Ising parameters for capped homopolymeric consensus repeat constructs as well as heteropolymeric constructs that contain point substitutions, providing a rigorous framework for analysis of the effects of mutation on intrinsic and directional (i.e., N- versus C-terminal) interfacial coupling free-energies. A bootstrap analysis is provided to estimate parameter uncertainty as well as correlations among fitted parameters. Rigorous statistical analysis is essential for interpreting fits using the complex models required for Ising analysis of repeat proteins, especially heteropolymeric repeat proteins. Programs described here are available at https://github.com/barricklab-at-jhu/Ising_programs.

biophysics↗

bioRxiv2018

Consensus sequence design as a general strategy to create hyperstable, biologically active proteins

Consensus sequence design offers a promising strategy for designing proteins of high stability while retaining biological activity since it draws upon an evolutionary history in which residues important for both stability and function are likely to be conserved. Although there have been several reports of successful consensus design of individual targets, it is unclear from these anecdotal studies how often this approach succeeds, and how often it fails. Here, we attempt to assess generality by designing consensus sequences for a set of six protein families with a range of chain-lengths, structures, and activities. We characterize the resulting consensus proteins for stability, structure, and biological activities in an unbiased way. We find that all six consensus proteins adopt cooperatively folded structures in solution. Strikingly, four out of six of these consensus proteins show increased thermodynamic stability over naturally-occurring homologues. Each consensus protein tested for function maintained at least partial biological activity. Though peptide binding affinity by a consensus-designed SH3 is rather low, Km values for consensus enzymes are similar to values from extant homologues. Though consensus enzymes are slower than extant homologues at low temperature, they are faster than some thermophilic enzymes at high temperature. An analysis of sequence properties shows consensus proteins to be enriched in charged residues, and rarified in uncharged polar residues. Sequence differences between consensus and extant homologues are predominantly located at weakly conserved surface residues, highlighting the importance of these residues in the success of the consensus strategy.\n\nSignificance StatementA major goal of protein design is to create proteins that have high stability and biological activity. Drawing on evolutionary information encoded within extant protein sequences, consensus sequence design has produced several successes in achieving this goal. Here we explore the generality with which consensus design can be used to enhance protein stability and maintain biological activity. By designing and characterizing consensus sequences for six unrelated protein families, we find that consensus design shows high success rates in creating well-folded, hyperstable proteins that retain biological activities. Remarkably, many of these consensus proteins show higher stabilities than naturally-occurring sequences of their respective protein families. Our study highlights the utility of consensus sequence design and informs the mechanisms by which it works.

biophysics↗

bioRxiv2018

Conformational heterogeneity allows access to DNA in longer Transcription Activator-Like Effector (TALE) arrays.

Transcription activator-like effectors (TALEs) bind DNA through an array of tandem 34-residue repeats. Here, we examine the kinetics of DNA binding for a set of TALE arrays with varying numbers of identical repeats using single molecule microscopy. Using a new deterministic modeling approach, we find evidence for conformational heterogeneity in both the free- and DNA-bound TALE arrays. Combined with previous work demonstrating populations of partly folded TALE states, our findings reveal a functional instability in TALE-DNA binding. For TALEs forming less than one superhelical turn around DNA, partly folded open states inhibit DNA binding. In contrast, for TALEs forming more than one turn, the partly folded open states facilitate DNA binding. Overall, we find that increasing repeat number results in significantly slower interconversion between the various DNA-free and DNA-bound states. These findings highlight the role of conformational heterogeneity and dynamics in facilitating macromolecular complex assembly.\n\nImpact StatementSingle molecule DNA-binding trajectories and deterministic modeling analyses demonstrate a functional role for high energy partly folded states in Transcription Activator-Like Effectors (TALEs) that could improve future TALEN design.

biophysics↗