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Identification and computationally-based structural interpretation of naturally occurring variants of human protein C
Ermanna Rovida1, Giuliana Merati, Pasqualina D'Ursi
1Institute of Biomedical Technologies-National Research Council, Segrate, Milano, Italy. ermanna.rovida@itb.cnr.it
Insights
Protein C (PC) deficiency impacts blood clotting and inflammation. Computational analysis of PROC gene variants helps predict functional consequences, guiding the development of targeted recombinant activated PC therapies.
Area of Science:
- Biochemistry
- Molecular Biology
- Computational Biology
Background:
- Protein C (PC) is crucial for regulating blood clotting and inflammation.
- Inherited PC deficiency is linked to venous thromboembolism.
- Recombinant activated PC improves survival in severe sepsis.
Purpose of the Study:
- To investigate the molecular basis of inherited Protein C deficiency.
- To understand the relationship between critical residues and PC functions.
- To guide the development of targeted recombinant activated PC therapies.
Main Methods:
- Analysis of 21 Protein C gene (PROC) variants.
- Molecular modeling and structural interpretation of amino acid substitutions.
- Calculation of electrostatic potential variation for active site variants.
Main Results:
- Functional impairment explanations derived for over half of the studied variants.
- Computational analysis provided insights into residue variation effects.
- Identified specific variants with predictable functional consequences.
Conclusions:
- Molecular modeling aids in predicting functional consequences of PROC variants.
- This approach facilitates focused selection of variants for further study.
- Informed therapeutic strategies for recombinant activated PC development.
Abstract:
Protein C (PC) is a key regulator of blood clotting and inflammation. Its inherited deficiency is associated with venous thromboembolism, and recombinant activated PC is currently used to increase survival in severe sepsis. The molecular basis of inherited PC deficiency is heterogeneous. Due to its multiple physiologic interactions and functions, and its modular structure, natural variants aid in the understanding of the relationship between critical residues and discrete functions. This knowledge has important therapeutic implications in the planning of a recombinant activated PC with a specific therapeutic target and devoid of major collateral effects. A way of predicting important functional consequences of residue variation is the use of molecular modeling and structural interpretation of amino acidic substitutions. A study of 21 out of 32 identified PC gene (PROC) variants is presented. For three of them, localized in the active site, electrostatic potential variation was calculated. For more than half of the studied variants, an explanation for the functional impairment could be derived from computational analysis, allowing a focused choice of which variants it is worthwhile pursuing.
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