grant

EmCAST: Stabilizing Proteins and Tuning Dynamics with High Precision and Accuracy

Organization UNIVERSITY OF MONTANALocation MISSOULA, UNITED STATESPosted 24 Sept 2022Deadline 31 Jul 2027
NIHUS FederalResearch GrantFY2025AddressAffectAlgorithmic SoftwareAlgorithmic ToolsAlgorithmsAmino AcidsAssayAttenuatedBindingBioassayBiological AssayBiosensorCarbonCommunitiesComplexDNA mutationDataData BasesDatabasesDevelopmentDirected Molecular EvolutionEquilibriumGenetic ChangeGenetic defectGenetic mutationGoalsKineticsKnowledgeLengthLifeLinkMeasuresMethodsMolecular ConfigurationMolecular ConformationMolecular InteractionMolecular StereochemistryMutationOutputPharmaceutical AgentPharmaceuticalsPharmacologic SubstancePharmacological SubstancePositionPositioning AttributeProbabilityProtein BiochemistryProtein ConformationProtein DynamicsProtein/Amino Acid BiochemistryProteinsPublishingR-Series Research ProjectsR01 MechanismR01 ProgramResearchResearch GrantsResearch Project GrantsResearch ProjectsSiteSoftware AlgorithmSolventsSpecificitySpinal ColumnSpineStructureSurfaceTestingVariantVariationVertebral columnWorkaminoacidattenuateattenuatesbackbonebalancebalance functionbiological sensorconformationconformationalconformational stateconformationallyconformationsconformerdata basedevelopmentaldirected evolutiongenome mutationimmunogenicityimprovedinnovateinnovationinnovativemutantnative protein drugpharmaceuticalpharmaceutical proteinpredictive toolspreferenceprotein data bankprotein databankprotein drug agentprotein foldingprotein functionprotein structureprotein structuresprotein-based drugproteins structurerational designscaffoldscaffoldingsuccesstherapeutic proteintoolweb serverweb servicesweb toolweb-based serviceweb-based tool
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Full Description

Project Summary
There are no reliable methods to stabilize proteins with high accuracy. Currently available methods have

standard errors between observed and predicted effects of mutations on protein stability that range from 1 to 3

kcal/mol. Given the importance of protein stability for biomedical applications such as the shelf-life and

immunogenicity of protein-based pharmaceuticals, development of reliable methods to stabilize proteins with

high accuracy is critical. To address this deficit in current knowledge, we have developed EmCAST (Empirical

C-Alpha Stability Tool) and have shown that it can double the stability of a small three helix bundle, UBA(1),

with four mutations. For a set of eight single, double, triple, and quadruple mutant variants that contain

combinations of these four mutations, the average error between predicted and observed stability was 0.13

kcal/mol, a vast improvement over existing methods to predict stabilizing mutations. EmCAST relies on two

important innovations: 1) use of an empirical potential derived from a database of the alpha carbon (C)

dihedral angle preferences for all possible four-residue sequences extracted from the 2018 release of the

Protein Data Bank and 2) selection of surface-exposed sites for introduction of stabilizing mutations. In the

proposed work, we will demonstrate that EmCAST can be an effective tool to stabilize a broad range of protein

folds and that it can be used to tune the position of protein conformational switches and hence control protein

function. We will also release, maintain, and upgrade a web service so that the protein biochemistry community

can readily access and use this valuable tool.

We will accomplish these goals in the context of the following Aims:

• In Aim 1, Rational Stabilization of Pure  and  Domains, we will show that EmCAST can stabilize a

set of four additional helical domains with high accuracy and that it can also be applied to stabilization

of -sheet domains. Predicted stabilizations for these proteins range from 2.5 to 6 kcal/mol.

• In Aim 2, Stabilization of Mixed / Domains and Large Folds, we apply EmCAST to stabilize a set

of four more complex folds that include both -helix and -sheet structure with sequence lengths up to

270 amino acids. EmCAST predicts stabilizations of 3 to 5 kcal/mol for the selected proteins.

• In Aim 3, Regulating Loop Dynamics and Tuning the Position of Conformational Switches, we

will show that EmCAST can be applied to differential stabilization of alternate conformers of proteins,

allowing for tuning of protein function.

Grant Number: 5R01GM148610-04
NIH Institute/Center: NIH

Principal Investigator: BRUCE BOWLER

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