Chemical Cross-linking and Mass Spectrometry for Protein Structural Modeling

2003 ◽  
Vol 331 (2) ◽  
pp. 303-313 ◽  
Author(s):  
Jaap Willem Back ◽  
Luitzen de Jong ◽  
Anton O. Muijsers ◽  
Chris G. de Koster
Keyword(s):  
Mass Spectrometry ◽  
Structural Modeling ◽  
Cross Linking ◽  
Chemical Cross Linking

Statistical Force-Field for Structural Modeling Using Chemical Cross-Linking/mass Spectrometry Distance Constraints

2018 ◽  
Author(s):  
Allan J. R. Ferrari ◽  
Fabio C. Gozzo ◽  
Leandro Martinez
Keyword(s):  
Mass Spectrometry ◽  
Amino Acid ◽  
Force Field ◽  
Protein Structures ◽  
Protein Structure Determination ◽  
Structural Modeling ◽  
Cross Linking ◽  
Amino Acid Residues ◽  
Distance Constraints ◽  
Chemical Cross Linking

<div><p>Chemical cross-linking/Mass Spectrometry (XLMS) is an experimental method to obtain distance constraints between amino acid residues, which can be applied to structural modeling of tertiary and quaternary biomolecular structures. These constraints provide, in principle, only upper limits to the distance between amino acid residues along the surface of the biomolecule. In practice, attempts to use of XLMS constraints for tertiary protein structure determination have not been widely successful. This indicates the need of specifically designed strategies for the representation of these constraints within modeling algorithms. Here, a force-field designed to represent XLMS-derived constraints is proposed. The potential energy functions are obtained by computing, in the database of known protein structures, the probability of satisfaction of a topological cross-linking distance as a function of the Euclidean distance between amino acid residues. The force-field can be easily incorporated into current modeling methods and software. In this work, the force-field was implemented within the Rosetta ab initio relax protocol. We show a significant improvement in the quality of the models obtained relative to current strategies for constraint representation. This force-field contributes to the long-desired goal of obtaining the tertiary structures of proteins using XLMS data. Force-field parameters and usage instructions are freely available at http://m3g.iqm.unicamp.br/topolink/xlff <br></p></div><p></p><p></p>

Statistical Force-Field for Structural Modeling Using Chemical Cross-Linking/mass Spectrometry Distance Constraints

2018 ◽  
Author(s):  
Allan J. R. Ferrari ◽  
Fabio C. Gozzo ◽  
Leandro Martinez
Keyword(s):  
Mass Spectrometry ◽  
Amino Acid ◽  
Force Field ◽  
Protein Structures ◽  
Protein Structure Determination ◽  
Structural Modeling ◽  
Cross Linking ◽  
Amino Acid Residues ◽  
Distance Constraints ◽  
Chemical Cross Linking

<div><p>Chemical cross-linking/Mass Spectrometry (XLMS) is an experimental method to obtain distance constraints between amino acid residues, which can be applied to structural modeling of tertiary and quaternary biomolecular structures. These constraints provide, in principle, only upper limits to the distance between amino acid residues along the surface of the biomolecule. In practice, attempts to use of XLMS constraints for tertiary protein structure determination have not been widely successful. This indicates the need of specifically designed strategies for the representation of these constraints within modeling algorithms. Here, a force-field designed to represent XLMS-derived constraints is proposed. The potential energy functions are obtained by computing, in the database of known protein structures, the probability of satisfaction of a topological cross-linking distance as a function of the Euclidean distance between amino acid residues. The force-field can be easily incorporated into current modeling methods and software. In this work, the force-field was implemented within the Rosetta ab initio relax protocol. We show a significant improvement in the quality of the models obtained relative to current strategies for constraint representation. This force-field contributes to the long-desired goal of obtaining the tertiary structures of proteins using XLMS data. Force-field parameters and usage instructions are freely available at http://m3g.iqm.unicamp.br/topolink/xlff <br></p></div><p></p><p></p>

Statistical force-field for structural modeling using chemical cross-linking/mass spectrometry distance constraints

2019 ◽  
Vol 35 (17) ◽  
pp. 3005-3012 ◽  
Author(s):  
Allan J R Ferrari ◽  
Fabio C Gozzo ◽  
Leandro Martínez
Keyword(s):  
Mass Spectrometry ◽  
Amino Acid ◽  
Force Field ◽  
Protein Structures ◽  
Structural Modeling ◽  
Supplementary Information ◽  
Cross Linking ◽  
Amino Acid Residues ◽  
Distance Constraints ◽  
Chemical Cross Linking

Abstract Motivation Chemical cross-linking/mass spectrometry (XLMS) is an experimental method to obtain distance constraints between amino acid residues which can be applied to structural modeling of tertiary and quaternary biomolecular structures. These constraints provide, in principle, only upper limits to the distance between amino acid residues along the surface of the biomolecule. In practice, attempts to use of XLMS constraints for tertiary protein structure determination have not been widely successful. This indicates the need of specifically designed strategies for the representation of these constraints within modeling algorithms. Results A force-field designed to represent XLMS-derived constraints is proposed. The potential energy functions are obtained by computing, in the database of known protein structures, the probability of satisfaction of a topological cross-linking distance as a function of the Euclidean distance between amino acid residues. First, the strategy suggests that XL constraints should be set to shorter distances than usually assumed. Second, the complete statistical force-field improves the models obtained and can be easily incorporated into current modeling methods and software. The force-field was implemented and is distributed to be used within the Rosetta ab initio relax protocol. Availability and implementation Force-field parameters and usage instructions are freely available online (http://m3g.iqm.unicamp.br/topolink/xlff). Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals Exploring the Interactome of Cytochrome P450 2E1 in Human Liver Microsomes with Chemical Cross-Linking Mass Spectrometry

2021 ◽  
Author(s):  
Dmitri R. Davydov ◽  
Bikash Dangi ◽  
Guihua Yue ◽  
Bhagwat Prasad ◽  
Viktor G. Zgoda
Keyword(s):  
Mass Spectrometry ◽  
Cytochrome P450 ◽  
Protein Interactions ◽  
Human Liver ◽  
Liver Microsomes ◽  
Human Liver Microsomes ◽  
Cross Linking ◽  
Cytochrome P450 2E1 ◽  
Protein Protein Interactions ◽  
Chemical Cross Linking

This study aimed on exploration of the system-wide effects of the alcohol-induced increase in the content of cytochrome P450 2E1 (CYP2E1) in the human liver on drug metabolism. Using membrane incorporation of purified CYP2E1 modified with photoreactive crosslinkers benzophenone-4-maleimide (BPM) and 4-(N-succinimidylcarboxy)benzophenone (BPS), we explored the array of its protein-protein interactions (proteome) in human liver microsomes (HLM) with chemical cross-linking mass spectrometry (CXMS). Exposure of bait-incorporated HLM samples to light was followed by isolation of the His-tagged bait protein and its cross-linked aggregates on Ni-NTA agarose. Analyzing the individual bands of SDS-PAGE slabs of thereby isolated protein with the toolset of untargeted proteomics, we detected the cross-linked dimeric and trimeric complexes of CYP2E1 with other drug-metabolizing enzymes. Among the most extensively cross-linked partners of CYP2E1 are cytochromes P450 2A6, 3A4, 2C9, and 4A11. We also detected the conjugates of CYP2E1 with UDP-glucuronosyltransferases (UGTs) 1A6, 1A9, 2B4, 2B15, and 2B17. These results demonstrate the exploratory power of the proposed CXMS strategy and corroborate the concept of tight functional integration in the human drug-metabolizing ensemble through protein-protein interactions of the constituting enzymes. Of particular interest is the observation of efficient cross-linking of CYP2E1 with CYP4A11. This enzyme plays a central role in the synthesis of vasoactive eicosanoids and its interactions with alcohol-inducible CYP2E1 may shed light on the mechanisms of alcohol-induced hypertension.

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