Literature DB >> 28388107

A general method for the derivation of the functional forms of the effective energy terms in coarse-grained energy functions of polymers. I. Backbone potentials of coarse-grained polypeptide chains.

Adam K Sieradzan1, Mariusz Makowski1, Antoni Augustynowicz2, Adam Liwo1.   

Abstract

A general and systematic method for the derivation of the functional expressions for the effective energy terms in coarse-grained force fields of polymer chains is proposed. The method is based on the expansion of the potential of mean force of the system studied in the cluster-cumulant series and expanding the all-atom energy in the Taylor series in the squares of interatomic distances about the squares of the distances between coarse-grained centers, to obtain approximate analytical expressions for the cluster cumulants. The primary degrees of freedom to average about are the angles for collective rotation of the atoms contained in the coarse-grained interaction sites about the respective virtual-bond axes. The approach has been applied to the revision of the virtual-bond-angle, virtual-bond-torsional, and backbone-local-and-electrostatic correlation potentials for the UNited RESidue (UNRES) model of polypeptide chains, demonstrating the strong dependence of the torsional and correlation potentials on virtual-bond angles, not considered in the current UNRES. The theoretical considerations are illustrated with the potentials calculated from the ab initiopotential-energysurface of terminally blocked alanine by numerical integration and with the statistical potentials derived from known protein structures. The revised torsional potentials correctly indicate that virtual-bond angles close to 90° result in the preference for the turn and helical structures, while large virtual-bond angles result in the preference for polyproline II and extended backbone geometry. The revised correlation potentials correctly reproduce the preference for the formation of β-sheet structures for large values of virtual-bond angles and for the formation of α-helical structures for virtual-bond angles close to 90°.

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Year:  2017        PMID: 28388107     DOI: 10.1063/1.4978680

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  11 in total

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Journal:  Biophys J       Date:  2018-08-30       Impact factor: 4.033

2.  Assessment of chemical-crosslink-assisted protein structure modeling in CASP13.

Authors:  J Eduardo Fajardo; Rojan Shrestha; Nelson Gil; Adam Belsom; Silvia N Crivelli; Cezary Czaplewski; Krzysztof Fidelis; Sergei Grudinin; Mikhail Karasikov; Agnieszka S Karczyńska; Andriy Kryshtafovych; Alexander Leitner; Adam Liwo; Emilia A Lubecka; Bohdan Monastyrskyy; Guillaume Pagès; Juri Rappsilber; Adam K Sieradzan; Celina Sikorska; Esben Trabjerg; Andras Fiser
Journal:  Proteins       Date:  2019-10-07

3.  Probing Protein Aggregation Using the Coarse-Grained UNRES Force Field.

Authors:  Ana V Rojas; Gia G Maisuradze; Harold A Scheraga; Adam Liwo
Journal:  Methods Mol Biol       Date:  2022

4.  Modeling the Structure, Dynamics, and Transformations of Proteins with the UNRES Force Field.

Authors:  Adam K Sieradzan; Cezary Czaplewski; Paweł Krupa; Magdalena A Mozolewska; Agnieszka S Karczyńska; Agnieszka G Lipska; Emilia A Lubecka; Ewa Gołaś; Tomasz Wirecki; Mariusz Makowski; Stanisław Ołdziej; Adam Liwo
Journal:  Methods Mol Biol       Date:  2022

5.  Structure folding of RNA kissing complexes in salt solutions: predicting 3D structure, stability, and folding pathway.

Authors:  Lei Jin; Ya-Lan Tan; Yao Wu; Xunxun Wang; Ya-Zhou Shi; Zhi-Jie Tan
Journal:  RNA       Date:  2019-08-07       Impact factor: 4.942

6.  Structural Characterization of Covalently Stabilized Human Cystatin C Oligomers.

Authors:  Magdalena Chrabąszczewska; Adam K Sieradzan; Sylwia Rodziewicz-Motowidło; Anders Grubb; Christopher M Dobson; Janet R Kumita; Maciej Kozak
Journal:  Int J Mol Sci       Date:  2020-08-15       Impact factor: 5.923

7.  Improved Consensus-Fragment Selection in Template-Assisted Prediction of Protein Structures with the UNRES Force Field in CASP13.

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Journal:  J Chem Inf Model       Date:  2020-02-11       Impact factor: 4.956

8.  Residue-Level Contact Reveals Modular Domain Interactions of PICK1 Are Driven by Both Electrostatic and Hydrophobic Forces.

Authors:  Amy O Stevens; Yi He
Journal:  Front Mol Biosci       Date:  2021-01-27

9.  UNRES server for physics-based coarse-grained simulations and prediction of protein structure, dynamics and thermodynamics.

Authors:  Cezary Czaplewski; Agnieszka Karczynska; Adam K Sieradzan; Adam Liwo
Journal:  Nucleic Acids Res       Date:  2018-07-02       Impact factor: 16.971

10.  Theory and Practice of Coarse-Grained Molecular Dynamics of Biologically Important Systems.

Authors:  Adam Liwo; Cezary Czaplewski; Adam K Sieradzan; Agnieszka G Lipska; Sergey A Samsonov; Rajesh K Murarka
Journal:  Biomolecules       Date:  2021-09-11
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