Quality Evaluation Based Simulation Selection (QEBSS) for analysis of conformational ensembles and dynamics of multidomain proteins

Multidomain proteins containing both folded and intrinsically disordered regions are crucial for biological processes, but characterizing their conformational ensembles and dynamics remains challenging. We introduce the Quality Evaluation Based Simulation Selection (QEBSS) protocol, which combines MD simulations with NMR-derived protein backbone <sup>15</sup>N T<sub>1</sub> and T<sub>2</sub> spin relaxation times and hetNOE values to interpret conformational ensembles and dynamics of multidomain proteins. We demonstrate the practical advantage of QEBSS by characterizing four flexible multidomain proteins: calmodulin, EN2, MANF, and CDNF. These biologically important proteins have been difficult to study due to their flexible nature. Our findings reveal new insights into their conformational landscapes and dynamics, providing mechanistic understanding of their biological functions. QEBSS offers quantitative quality evaluation of simulations and a systematic approach for resolving conformational ensembles of multidomain proteins with heterogeneous dynamics. Given the importance of such proteins in biology, biotechnology, and materials science, QEBSS should benefit fields from drug design to novel materials development.

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Publication Details

Journal
Communications Chemistry
Published
2025-08-10
DOI
https://doi.org/10.1038/s42004-025-01623-x
Citations
1
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
0.81

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Quality Evaluation Based Simulation Selection (QEBSS) for analysis of conformational ensembles and dynamics of multidomain proteins

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1 citations
Communications Chemistry
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article

Quality Evaluation Based Simulation Selection (QEBSS) for analysis of conformational ensembles and dynamics of multidomain proteins

O. H. Samuli Ollila, Tommi Kajander, Satoshi Fudo, Vassilis Stratoulias, Ekrem Yaşar, Amanda Sandelin, Ricky Nencini
article en
1 citations

Abstract

Multidomain proteins containing both folded and intrinsically disordered regions are crucial for biological processes, but characterizing their conformational ensembles and dynamics remains challenging. We introduce the Quality Evaluation Based Simulation Selection (QEBSS) protocol, which combines MD simulations with NMR-derived protein backbone <sup>15</sup>N T<sub>1</sub> and T<sub>2</sub> spin relaxation times and hetNOE values to interpret conformational ensembles and dynamics of multidomain proteins. We demonstrate the practical advantage of QEBSS by characterizing four flexible multidomain proteins: calmodulin, EN2, MANF, and CDNF. These biologically important proteins have been difficult to study due to their flexible nature. Our findings reveal new insights into their conformational landscapes and dynamics, providing mechanistic understanding of their biological functions. QEBSS offers quantitative quality evaluation of simulations and a systematic approach for resolving conformational ensembles of multidomain proteins with heterogeneous dynamics. Given the importance of such proteins in biology, biotechnology, and materials science, QEBSS should benefit fields from drug design to novel materials development.

Communications ChemistryVol. 8(1)
University of Helsinki (FI), Erzincan Binali Yıldırım University (TR), Helsinki Institute of Physics (FI), VTT Technical Research Centre of Finland (FI)
European Synchrotron Radiation Facility, Jane ja Aatos Erkon Säätiö, China Scholarship Council, Emil Aaltosen Säätiö, Horizon 2020 Framework Programme
Openalex Percentile: Top 25%
Protein Structure and Dynamics
0.81
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