Anton Polyansky

Dr. Anton Polyansky


Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 November 2013 in Bioinformatics
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Journal Article
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APAnton Polyansky
Anton Polyansky
Anton O ChugunovAnton O Chugunov
Anton O Chugunov
PVPavel Volynsky
Pavel Volynsky
NKNikolay Krylov
Nikolay Krylov
DNDmitry E Nolde
Dmitry E Nolde
RERoman G. Efremov
Roman G. Efremov
Summary: Here we present PREDDIMER, a web tool for prediction of dimer structure of transmembrane (TM) helices. PREDDIMER allows (i) reconstruction of a number of dimer structures for given sequence(s) of TM protein fragments, (ii) ranking and filtering of predicted structures according to respective values of a scoring function, (iii) visualization of predicted 3D dimer structures and (iv) visualization of surface hydrophobicity of TM helices and their contacting (interface) regions represented as 2D maps. Results: We implemented online the original PREDDIMER algorithm and benchmarked the server on 11 TM sequences, whose 3D dimer conformations were obtained previously by nuclear magnetic resonance spectroscopy. In the most of tested cases backbone root-mean-square deviations of closest predicted conformations from the experimental reference are below 3 Å. A randomization test displays good anticorrelation (−0.82) between values of the scoring function and statistical significance of the prediction ‘by chance’. Going beyond a single dimer conformation, our web tool predicts an ensemble of possible conformations, which may be useful for explanation of a functioning of bitopic membrane proteins, e.g. receptor tyrosine kinases. Availability and implementation: PREDDIMER can be accessed for free on the web at http://model.nmr.ru/preddimer/ Contact: newant@gmail.com Supplementary information: Supplementary data are available at Bioinformatics online.

13 August 2012 in Journal of the American Chemical Society
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Journal Article
Closed access
APAnton Polyansky
Anton Polyansky
PVPavel Volynsky
Pavel Volynsky
RERoman G. Efremov
Roman G. Efremov

17 March 2017 in Biochemistry
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Journal Article
Closed access
EBEduard Bocharov
Eduard Bocharov
PBPavel E. Bragin
Pavel E. Bragin
KPKonstantin Vladimirovich Pavlov
Konstantin Vladimirovich Pavlov
OBOlga V. Bocharova
Olga V. Bocharova
KMKonstantin S Mineev
Konstantin S Mineev
AAAlexander S. Arseniev
Alexander S. Arseniev

11 January 2023 in Nature Communications
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Journal Article
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LALisa-Marie Appel
Lisa-Marie Appel
VFVedran Franke
Vedran Franke
JBJohannes Benedum
Johannes Benedum
IGIrina Grishkovskaya
Irina Grishkovskaya
XSXué Strobl
Xué Strobl
DSDea Slade
Dea Slade
The heptad repeats of the C-terminal domain (CTD) of RNA polymerase II (Pol II) are extensively modified throughout the transcription cycle. The CTD coordinates RNA synthesis and processing by recruiting transcription regulators as well as RNA capping, splicing and 3’end processing factors. The SPOC domain of PHF3 was recently identified as a CTD reader domain specifically binding to phosphorylated serine-2 residues in adjacent CTD repeats. Here, we establish the SPOC domains of the human proteins DIDO, SHARP (also known as SPEN) and RBM15 as phosphoserine binding modules that can act as CTD readers but also recognize other phosphorylated binding partners. We report the crystal structure of SHARP SPOC in complex with CTD and identify the molecular determinants for its specific binding to phosphorylated serine-5. PHF3 and DIDO SPOC domains preferentially interact with the Pol II elongation complex, while RBM15 and SHARP SPOC domains engage with writers and readers of m6A, the most abundant RNA modification. RBM15 positively regulates m6A levels and mRNA stability in a SPOC-dependent manner, while SHARP SPOC is essential for its localization to inactive X-chromosomes. Our findings suggest that the SPOC domain is a major interface between the transcription machinery and regulators of transcription and co-transcriptional processes.

14 July 2005 in The Journal of Physical Chemistry B
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Journal Article
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APAnton Polyansky
Anton Polyansky
PVPavel Volynsky
Pavel Volynsky
DNDmitry E Nolde
Dmitry E Nolde
AAAlexander S. Arseniev
Alexander S. Arseniev
RERoman G. Efremov
Roman G. Efremov

20 July 2023 in eLife
Verified
Journal Article
Open access
APAnton Polyansky
Anton Polyansky
LGLaura D Gallego
Laura D Gallego
RERoman G Efremov
Roman G Efremov
AKAlwin Köhler
Alwin Köhler
BZBojan Zagrovic
Bojan Zagrovic
Non-membrane-bound biomolecular condensates have been proposed to represent an important mode of subcellular organization in diverse biological settings. However, the fundamental principles governing the spatial organization and dynamics of condensates at the atomistic level remain unclear. The Saccharomyces cerevisiae Lge1 protein is required for histone H2B ubiquitination and its N-terminal intrinsically disordered fragment (Lge11-80) undergoes robust phase separation. This study connects single- and multi-chain all-atom molecular dynamics simulations of Lge11-80 with the in vitro behavior of Lge11-80 condensates. Analysis of modeled protein-protein interactions elucidates the key determinants of Lge11-80 condensate formation and links configurational entropy, valency, and compactness of proteins inside the condensates. A newly derived analytical formalism, related to colloid fractal cluster formation, describes condensate architecture across length scales as a function of protein valency and compactness. In particular, the formalism provides an atomistically resolved model of Lge11-80 condensates on the scale of hundreds of nanometers starting from individual protein conformers captured in simulations. The simulation-derived fractal dimensions of condensates of Lge11-80 and its mutants agree with their in vitro morphologies. The presented framework enables a multiscale description of biomolecular condensates and embeds their study in a wider context of colloid self-organization.