Biology subjects

Woolfson, D.

Publications and source records attributed to Woolfson, D..

4 recordsLinked to original sources

bioRxiv2023

Structural flexibility dominates over binding strength for supramolecular crystallinity

Supramolecular crystallinity is abundantly present in nature and results from directional, weak non-covalent interactions between components. Bottom-up nanotechnology aims to exploit such phenomena to control the self-assembly of ordered networks and complex objects from rationally designed monomers. Like all crystalline materials, 2D supramolecular crystals develop from an initial nucleation site, followed by growth, based on directional interactions. Traditionally, the binding strength and directionality of interactions is thought to dictate the nucleation and crystal growth, whereas structural flexibility favours defects. Usually, macromonomers present multiple binding units with relative intramolecular flexibility that affects their intermolecular interactions. Thus far, the effects of such flexibility on supramolecular assembly have not been explored. Here we introduce the concept of "interface flexibility" and demonstrate its critical importance in the nucleation and growth of supramolecular crystalline networks. We show that tuning the interface flexibility greatly expands the available design space for synthetic supramolecular crystalline materials.

bioengineering↗

bioRxiv2023

Rationally seeded computational protein design

Computational protein design is advancing rapidly. Here we describe efficient routes to two families of -helical-barrel proteins with central channels that bind small molecules. The designs are seeded by the sequences and structures of defined de novo oligomeric barrel-forming peptides. Adjacent helices are connected using computational loop building. For targets with antiparallel helices, short loops are sufficient. However, targets with parallel helices require longer connectors; namely, an outer layer of helix-turn-helix-turn-helix motifs that are packed onto the barrels computationally. Throughout these pipelines, residues that define open states of the barrels are maintained. This minimises sequence sampling and accelerates routes to successful designs. For each of 6 targets, just 2 - 6 synthetic genes are made for expression in E. coli. On average, 80% express to give soluble monomeric proteins that are characterized fully, including high-resolution structures for most targets that match the seed structures and design models with high accuracy.

synthetic biology↗

bioRxiv2023

Labile assembly of a tardigrade protein induces biostasis

Tardigrades are microscopic animals that survive desiccation by inducing biostasis. To survive drying tardigrades rely on intrinsically disordered CAHS proteins that form gels. However, the sequence features and mechanisms underlying gel formation and the necessity of gelation for protection have not been demonstrated. Here we report a mechanism of gelation for CAHS D similar to that of intermediate filaments. We show that gelation restricts molecular motion, immobilizing and protecting labile material from the harmful effects of drying. In vivo, we observe that CAHS D forms fiber-like condensates during osmotic stress. Condensation of CAHS D improves survival of osmotically shocked cells through at least two mechanisms: reduction of cell volume change and reduction of metabolic activity. Importantly, condensation of CAHS D is reversible and metabolic rates return to control levels after CAHS condensates are resolved. This work provides insights into how tardigrades induce biostasis through the self-assembly of CAHS gels.

physiology↗

bioRxiv2023

CC + : A Searchable Database of Validated Coiled coils in PDB Structures and AlphaFold2 Models

-Helical coiled coils are common tertiary and quaternary elements of protein structure. In coiled coils, two or more helices wrapped around each other to form bundles. This apparently simple structural motif can generate many architectures and topologies. Understanding the variety of and limits on coiled-coil assemblies and their sequence-to-structure relationships impacts on protein structure, design, and engineering. Coiled coil-forming sequences can be predicted from heptad repeats of hydrophobic and polar residues, hpphppp, although this is not always reliable. Alternatively, coiled-coil structures can be identified using the program SOCKET, which finds knobs-into-holes (KIH) packing between side chains of neighboring helices. SOCKET also classifies coiled-coil architecture and topology, thus allowing sequence-to-structure relationships to be garnered. In 2009, we used SOCKET to create a relational database of coiled-coil structures, CC+, from the RCSB Protein Data Bank (PDB). Here we report an update of CC+ following the recent explosion of structural data and the success of AlphaFold2 in predicting protein structures from genome sequences. With the most-stringent SOCKET parameters, CC+ contains {approx}12,000 coiled-coil assemblies from experimentally determined structures, and {approx}120,000 potential coiled-coil structures within single-chain models predicted by AlphaFold2 across 48 proteomes. CC+ allows these and other less-stringently defined coiled coils to be searched at various levels of structure, sequence, and side-chain interactions. The identified coiled coils can be viewed directly from CC+ using the Socket2 application, and their associated data can be downloaded for further analyses. CC+ is available freely at http://coiledcoils.chm.bris.ac.uk/CCPlus/Home.html. It will be regularly updated automatically. FOR THE BROADER AUDIENCEProtein assemblies and protein-protein interactions are key to all biological processes. -Helical coiled coils are one of the most common modes of directing and stabilising these interfaces. Here, we report an updated CC+ database of structurally validated coiled coils from experimental protein structures and AlphaFold2 models. CC+ contains many thousands of coiled-coil structures and models, associated parameters, and sequences. It enables the compilation of rich datasets for advancing protein structure, design, and engineering research.

bioinformatics↗