Adam K. Sieradzan - Concepedia

Author

Adam K. Sieradzan

Also Known As

A. K. Sieradzan, A. Sieradzan, Adam K. Sieradzan, Adam K Sieradzan, Adam K. Sieradzan, Adam Kazimierz Sieradzan, Adam Sieradzan, Sieradzan, Adam K.

111

Publications

1.9K

Citations

H-Index

Concepts

All Affiliations

University of Gdańsk Cornell University Gdańsk Medical University Polish Academy of Sciences Centre National de la Recherche Scientifique

About

Adam K. Sieradzan is an author at University of Gdańsk specializing in molecular biology, biophysics, and protein folding.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	11	13	333
2	Natural Sciences	11	13	342
3	Engineering	8	8	290
4	Biochemistry	6	6	140
5	Biology	1	1	17

Adam K. Sieradzan

Publications

1.7K

Citations

H-Index

Page 1

	Year	Citations
A unified coarse-grained model of biological macromolecules based on mean-field multipole–multipole interactions Adam Liwo, Maciej Baranowski, Cezary Czaplewski, Journal of Molecular Modeling	2014	152
Prediction of protein assemblies, the next frontier: The <scp>CASP14‐CAPRI</scp> experiment Marc F. Lensink, Guillaume Brysbaert, Théo Mauri, Proteins Structure Function and Bioinformatics	2021	122
Impact of <scp>AlphaFold</scp> on structure prediction of protein complexes: The <scp>CASP15‐CAPRI</scp> experiment Marc F. Lensink, Guillaume Brysbaert, Nessim Raouraoua, Proteins Structure Function and Bioinformatics	2023	79
UNRES server for physics-based coarse-grained simulations and prediction of protein structure, dynamics and thermodynamics Cezary Czaplewski, Agnieszka Karczyńska, Adam K. Sieradzan, Nucleic Acids Research Computational BiophysicsUnres PackageServer ImplementationBiomolecular Structure PredictionProtein Folding	2018	77
Lessons from application of the UNRES force field to predictions of structures of CASP10 targets Yi He, Magdalena A. Mozolewska, Paweł Krupa, Proceedings of the National Academy of Sciences	2013	71
WeFold: A coopetition for protein structure prediction George Khoury, Adam Liwo, Firas Khatib, Proteins Structure Function and Bioinformatics	2014	68
A general method for the derivation of the functional forms of the effective energy terms in coarse-grained energy functions of polymers. III. Determination of scale-consistent backbone-local and correlation potentials in the UNRES force field and force-field calibration and validation Adam Liwo, Adam K. Sieradzan, Agnieszka G. Lipska, The Journal of Chemical Physics EngineeringProtein AssemblyMechanical EngineeringMolecular BiologyAnalytical Ultracentrifugation	2019	65
Theory and Practice of Coarse-Grained Molecular Dynamics of Biologically Important Systems Adam Liwo, Cezary Czaplewski, Adam K. Sieradzan, Biomolecules Biophysical ModelingEngineeringMathematical BiophysicsMolecular BiologyComputational Chemistry	2021	58
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. Sieradzan, Mariusz Makowski, Antoni Augustynowicz, The Journal of Chemical Physics	2017	57
Performance of protein-structure predictions with the physics-based UNRES force field in CASP11 Paweł Krupa, Magdalena A. Mozolewska, Marta Wiśniewska, Bioinformatics	2016	51

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