Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

AlphaDesign: A de novo protein design framework based on AlphaFold

View through CrossRef
De novo protein design is a longstanding fundamental goal of synthetic biology, but has been hindered by the difficulty in reliable prediction of accurate high-resolution protein structures from sequence. Recent advances in the accuracy of protein structure prediction methods, such as AlphaFold (AF), have facilitated proteome scale structural predictions of monomeric proteins. Here we develop AlphaDesign, a computational framework for de novo protein design that embeds AF as an oracle within an optimisable design process. Our framework enables rapid prediction of completely novel protein monomers starting from random sequences. These are shown to adopt a diverse array of folds within the known protein space. A recent and unexpected utility of AF to predict the structure of protein complexes, further allows our framework to design higher-order complexes. Subsequently a range of predictions are made for monomers, homodimers, heterodimers as well as higher-order homo-oligomers - trimers to hexamers. Our analyses also show potential for designing proteins that bind to a pre-specified target protein. Structural integrity of predicted structures is validated and confirmed by standard ab initio folding and structural analysis methods as well as more extensively by performing rigorous all-atom molecular dynamics simulations and analysing the corresponding structural flexibility, intramonomer and interfacial amino-acid contacts. These analyses demonstrate widespread maintenance of structural integrity and suggests that our framework allows for fairly accurate protein design. Strikingly, our approach also reveals the capacity of AF to predict proteins that switch conformation upon complex formation, such as involving switches from α -helices to β -sheets during amyloid filament formation. Correspondingly, when integrated into our design framework, our approach reveals de novo design of a subset of proteins that switch conformation between monomeric and oligomeric state.
Title: AlphaDesign: A de novo protein design framework based on AlphaFold
Description:
De novo protein design is a longstanding fundamental goal of synthetic biology, but has been hindered by the difficulty in reliable prediction of accurate high-resolution protein structures from sequence.
Recent advances in the accuracy of protein structure prediction methods, such as AlphaFold (AF), have facilitated proteome scale structural predictions of monomeric proteins.
Here we develop AlphaDesign, a computational framework for de novo protein design that embeds AF as an oracle within an optimisable design process.
Our framework enables rapid prediction of completely novel protein monomers starting from random sequences.
These are shown to adopt a diverse array of folds within the known protein space.
A recent and unexpected utility of AF to predict the structure of protein complexes, further allows our framework to design higher-order complexes.
Subsequently a range of predictions are made for monomers, homodimers, heterodimers as well as higher-order homo-oligomers - trimers to hexamers.
Our analyses also show potential for designing proteins that bind to a pre-specified target protein.
Structural integrity of predicted structures is validated and confirmed by standard ab initio folding and structural analysis methods as well as more extensively by performing rigorous all-atom molecular dynamics simulations and analysing the corresponding structural flexibility, intramonomer and interfacial amino-acid contacts.
These analyses demonstrate widespread maintenance of structural integrity and suggests that our framework allows for fairly accurate protein design.
Strikingly, our approach also reveals the capacity of AF to predict proteins that switch conformation upon complex formation, such as involving switches from α -helices to β -sheets during amyloid filament formation.
Correspondingly, when integrated into our design framework, our approach reveals de novo design of a subset of proteins that switch conformation between monomeric and oligomeric state.

Related Results

Assessment of AlphaFold structures and optimization methods for virtual screening
Assessment of AlphaFold structures and optimization methods for virtual screening
AbstractRecent advancements in artificial intelligence such as AlphaFold, have enabled more accurate prediction of protein three-dimensional structure from amino acid sequences. Th...
Applications of AlphaFold beyond Protein Structure Prediction
Applications of AlphaFold beyond Protein Structure Prediction
AbstractPredicting structures accurately for natural protein sequences by DeepMind’s AlphaFold is certainly one of the greatest breakthroughs in biology in the twenty-first century...
Design
Design
Conventional definitions of design rarely capture its reach into our everyday lives. The Design Council, for example, estimates that more than 2.5 million people use design-related...
Endothelial Protein C Receptor
Endothelial Protein C Receptor
IntroductionThe protein C anticoagulant pathway plays a critical role in the negative regulation of the blood clotting response. The pathway is triggered by thrombin, which allows ...
Design of Cyclic Peptides Targeting Protein-Protein Interactions using AlphaFold
Design of Cyclic Peptides Targeting Protein-Protein Interactions using AlphaFold
Abstract More than 930,000 protein-protein interactions (PPIs) have been identified in recent years, but their physicochemical properties differ from conventional d...
1651-P: Elevated FGF21 Levels after Total Pancreatectomy and in Response to Single-Dose Glucagon Receptor Antagonism in Humans
1651-P: Elevated FGF21 Levels after Total Pancreatectomy and in Response to Single-Dose Glucagon Receptor Antagonism in Humans
Fibroblast growth factor 21 (FGF21) is a liver-secreted peptide hormone reportedly improving metabolic homeostasis, partly via reduced hunger for sugar, fat, protein and alcohol. E...
Solubility-aware protein binding peptide design using AlphaFold
Solubility-aware protein binding peptide design using AlphaFold
Abstract New protein–protein interactions (PPIs) are being identified, but PPIs have different physicochemical properties compared with conventional targets, making...

Back to Top