Dataset Information

Protein shape sampled by ion mobility mass spectrometry consistently improves protein structure prediction.

ABSTRACT: Ion mobility (IM) mass spectrometry provides structural information about protein shape and size in the form of an orientationally-averaged collision cross-section (CCS_IM). While IM data have been used with various computational methods, they have not yet been utilized to predict monomeric protein structure from sequence. Here, we show that IM data can significantly improve protein structure determination using the modelling suite Rosetta. We develop the Rosetta Projection Approximation using Rough Circular Shapes (PARCS) algorithm that allows for fast and accurate prediction of CCS_IM from structure. Following successful testing of the PARCS algorithm, we use an integrative modelling approach to utilize IM data for protein structure prediction. Additionally, we propose a confidence metric that identifies near native models in the absence of a known structure. The results of this study demonstrate the ability of IM data to consistently improve protein structure prediction.

SUBMITTER: Turzo SMBA

PROVIDER: S-EPMC9334640 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Protein shape sampled by ion mobility mass spectrometry consistently improves protein structure prediction.

Turzo S M Bargeen Alam SMBA Seffernick Justin T JT Rolland Amber D AD Donor Micah T MT Heinze Sten S Prell James S JS Wysocki Vicki H VH Lindert Steffen S

Nature communications 20220728 1

Ion mobility (IM) mass spectrometry provides structural information about protein shape and size in the form of an orientationally-averaged collision cross-section (CCS<sub>IM</sub>). While IM data have been used with various computational methods, they have not yet been utilized to predict monomeric protein structure from sequence. Here, we show that IM data can significantly improve protein structure determination using the modelling suite Rosetta. We develop the Rosetta Projection Approximati ...[more]

PMID: 35902583

Similar Datasets

Project description:In the present article we describe the gas-phase dissociation behavior of the dimeric form of monocyte chemoattractant protein-1 (MCP-1) using quadrupole-traveling wave ion mobility-time of flight mass spectrometry (q-TWIMS-TOF MS) (Waters Synapt™). Through investigation of the 9(+) charge state of the dimer, we were able to monitor dissociation product ion (monomer) formation as a function of activation energy. Using ion mobility, we were able to observe precursor ion structural changes occurring throughout the activation process. Arrival time distributions (ATDs) for the 5(+) monomeric MCP-1 product ions, derived from the gas-phase dissociation of the 9(+) dimer, were then compared with ATDs obtained for the 5(+) MCP-1 monomer isolated directly from solution. The results show that the dissociated monomer is as compact as the monomer arising from solution, regardless of the trap collision energy (CE) used in the dissociation. The solution-derived monomer, when collisionally activated, also resists significant unfolding within measure. Finally, we compared the collisional activation data for the MCP-1 dimer with an MCP-1 dimer non-covalently bound to a single molecule of the semi-synthetic glycosaminoglycan (GAG) analog Arixtra™; the latter a therapeutic anti-thrombin III-activating pentasaccharide. We observed that while dimeric MCP-1 dissociated at relatively low trap CEs, the Arixtra-bound dimer required much higher energies, which also induced covalent bond cleavage in the bound Arixtra molecule. Both the free and Arixtra-bound dimers became less compact and exhibited longer arrival times with increasing trap CEs, albeit the Arixtra-bound complex at slightly higher energies. That both dimers shifted to longer arrival times with increasing activation energy, while the dissociated MCP-1 monomers remained compact, suggests that the longer arrival times of the Arixtra-free and Arixtra-bound dimers may represent a partial breach of non-covalent interactions between the associated MCP-1 monomers, rather than extensive unfolding of individual subunits. The fact that Arixtra preferentially binds MCP-1 dimers and prevents dimer dissociation at comparable activation energies to the Arixtra-free dimer, may suggest that the drug interacts across the two monomers, thereby inhibiting their dissociation.

Dataset Information

Protein shape sampled by ion mobility mass spectrometry consistently improves protein structure prediction.

Publications

Protein shape sampled by ion mobility mass spectrometry consistently improves protein structure prediction.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets