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Confrontation of AlphaFold models with experimental structures enlightens conformational dynamics supporting CYP102A1
Philippe Urban1, Denis Pompon2
1Toulouse Biotechnology Institute, CNRS, INRAE, INSA, Université de Toulouse, 135 Avenue de Rangueil, Toulouse, France. urban@insa-toulouse.fr.
Scientific Reports
|September 26, 2022
Summary
This study introduces a competitive modeling approach (CMA) to predict alternate protein conformations, successfully modeling large conformational changes in electron transfer complexes and aiding in understanding protein dynamics.
Area of Science:
- Biochemistry
- Structural Biology
- Computational Biology
Background:
- Conformational dynamics are crucial for multidomain electron transfer complex function.
- While high-resolution methods provide structural detail, lower-resolution techniques like cryo-electron microscopy (cryo-EM) offer insights into dynamics.
- AlphaFold has advanced in silico protein complex prediction, but its ability to model large conformational changes in catalysis is less understood.
Purpose of the Study:
- To develop and validate a competitive modeling approach (CMA) for assessing alternate conformations in multi-domain protein complexes.
- To investigate the conformational dynamics of the bacterial CYP102A1 monooxygenase homodimer.
- To analyze structural determinants of domain connectivity and apply this to eukaryotic systems.
Main Methods:
- Utilized a competitive modeling approach (CMA) for in silico structure modeling.
- Employed bacterial CYP102A1 monooxygenase homodimer as a test case.
- Validated predictions against published crystallographic and cryo-electron microscopy (cryo-EM) data.
Main Results:
- The CMA successfully predicted alternate conformations of multi-domain complexes, including large conformational changes.
- Model predictions showed consistency with experimental data, allowing for reinterpretation of some findings.
- Identified structural determinants for a novel domain connectivity in the bacterial monooxygenase.
Conclusions:
- The CMA is effective for modeling conformational dynamics in multi-domain protein complexes.
- This approach can provide new insights into protein function and aid in reinterpreting experimental structural data.
- The findings can inform in silico retro-engineering of related eukaryotic systems.
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