Sergey A. Spirin

Dr. Sergey A. Spirin

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Research Focus & Metrics

Academic Career Length

40Years (1987-Present)

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

Representative Publications

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17 October 2015 in Biochemistry (Moscow)
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AEA. S. Ershova
A. S. Ershova
IRI. S. Rusinov
I. S. Rusinov
SSSergey A. Spirin
Sergey A. Spirin
AKAnna Karyagina
Anna Karyagina
AAAndrei Vladimirovich Alexeevski
Andrei Vladimirovich Alexeevski
Restriction–modification (R-M) systems are able to methylate or cleave DNA depending on methylation status of their recognition site. It allows them to protect bacterial cells from invasion by...

26 November 2012 in Nucleic Acids Research
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DKDmitry D. Kirsanov
Dmitry D. Kirsanov
OZOlga N. Zanegina
Olga N. Zanegina
EAEvgeniy A. Aksianov
Evgeniy A. Aksianov
SSSergey A. Spirin
Sergey A. Spirin
AKAnna Karyagina
Anna Karyagina
AAAndrei Vladimirovich Alexeevski
Andrei Vladimirovich Alexeevski
The Nucleic acid—Protein Interaction DataBase (http://npidb.belozersky.msu.ru/) contains information derived from structures of DNA–protein and RNA–protein complexes extracted from the Protein Data Bank (3846 complexes in October 2012). It provides a web interface and a set of tools for extracting biologically meaningful characteristics of nucleoprotein complexes. The content of the database is updated weekly. The current version of the Nucleic acid—Protein Interaction DataBase is an upgrade of the version published in 2007. The improvements include a new web interface, new tools for calculation of intermolecular interactions, a classification of SCOP families that contains DNA–binding protein domains and data on conserved water molecules on the DNA–protein interface.

7 December 2018 in BMC Genomics
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Journal Article
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IRI. S. Rusinov
I. S. Rusinov
AEA. S. Ershova
A. S. Ershova
AKA. S. Karyagina
A. S. Karyagina
SSSergey A. Spirin
Sergey A. Spirin
AAAndrei Vladimirovich Alexeevski
Andrei Vladimirovich Alexeevski
Restriction-modification (R-M) systems protect bacteria and archaea from attacks by bacteriophages and archaeal viruses. An R-M system specifically recognizes short sites in foreign DNA and cleaves it, while such sites in the host DNA are protected by methylation. Prokaryotic viruses have developed a number of strategies to overcome this host defense. The simplest anti-restriction strategy is the elimination of recognition sites in the viral genome: no sites, no DNA cleavage. Even a decrease of the number of recognition sites can help a virus to overcome this type of host defense. Recognition site avoidance has been a known anti-restriction strategy of prokaryotic viruses for decades. However, recognition site avoidance has not been systematically studied with the currently available sequence data. We analyzed the complete genomes of almost 4000 prokaryotic viruses with known host species and more than 17,000 restriction endonucleases with known specificities in terms of recognition site avoidance. We observed considerable limitations of recognition site avoidance as an anti-restriction strategy. Namely, the avoidance of recognition sites is specific for dsDNA and ssDNA prokaryotic viruses. Avoidance is much more pronounced in the genomes of non-temperate bacteriophages than in the genomes of temperate ones. Avoidance is not observed for the sites of Type I and Type IIG systems and is very rarely observed for the sites of Type III systems. The vast majority of avoidance cases concern recognition sites of orthodox Type II restriction-modification systems. Even under these constraints, complete or almost complete elimination of sites is observed for approximately one-tenth of viral genomes and a significant under-representation for approximately one-fourth of them. Avoidance of recognition sites of restriction-modification systems is a widespread but not universal anti-restriction strategy of prokaryotic viruses.

21 December 2015 in BMC Genomics
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IRIvan Rusinov
Ivan Rusinov
AEAnna Ershova
Anna Ershova
AKAnna Karyagina
Anna Karyagina
SSSergey A. Spirin
Sergey A. Spirin
AAAndrei Vladimirovich Alexeevski
Andrei Vladimirovich Alexeevski
Avoidance of palindromic recognition sites of Type II restriction-modification (R-M) systems was shown for many R-M systems in dozens of prokaryotic genomes. However the phenomenon has not been investigated systematically for all presently available genomes and annotated R-M systems. We have studied all known recognition sites in thousands of prokaryotic genomes and found factors that influence their avoidance. Only Type II R-M systems consisting of independently acting endonuclease and methyltransferase (called ‘orthodox’ here) cause avoidance of their sites, both palindromic and asymmetric, in corresponding prokaryotic genomes; the avoidance takes place for ~ 50 % of 1774 studied cases. It is known that prokaryotes can acquire and lose R-M systems. Thus it is possible to talk about the lifespan of an R-M system in a genome. We have shown that the recognition site avoidance correlates with the lifespan of R-M systems. The sites of orthodox R-M systems that are encoded in host genomes for a long time are avoided more often (up to 100 % in certain cohorts) than the sites of recently acquired ones. We also found cases of site avoidance in absence of the corresponding R-M systems in the genome. An analysis of closely related bacteria shows that such avoidance can be a trace of lost R-M systems. Sites of Type I, IIС/G, IIM, III, and IV R-M systems are not avoided in vast majority of cases. The avoidance of orthodox Type II R-M system recognition sites in prokaryotic genomes is a widespread phenomenon. Presence of an R-M system without an underrepresentation of its site may indicate that the R-M system was acquired recently. At the same time, a significant underrepresentation of a site may be a sign of presence of the corresponding R-M system in this organism or in its ancestors for a long time. The drastic difference between site avoidance for orthodox Type II R-M systems and R-M systems of other types can be explained by a higher rate of specificity changes or a less self-toxicity of the latter.

31 October 2007 in Bioinformatics
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SSSergey A. Spirin
Sergey A. Spirin
MTMikhail Titov
Mikhail Titov
AKAnna Karyagina
Anna Karyagina
AAAndrei Vladimirovich Alexeevski
Andrei Vladimirovich Alexeevski
Summary: The database NPIDB (Nucleic Acids—Protein Interaction DataBase) contains information derived from structures of DNA–protein and RNA–protein complexes extracted from PDB (1834 complexes in July 2007). It is organized as a collection of files in PDB format and is equipped with a web-interface and a set of tools for extracting biologically meaningful characteristics of complexes. The content of the database is weekly updated. Availability:http://monkey.belozersky.msu.ru/NPIDB/ Contact:sas@belozersky.msu.ru

30 May 2016 in Database: The Journal of Biological Databases and Curation
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EBEugene Baulin
Eugene Baulin
VYVictor Yacovlev
Victor Yacovlev
DKDenis Khachko
Denis Khachko
SSSergey A. Spirin
Sergey A. Spirin
MRMikhail Roytberg
Mikhail Roytberg
The Universe of RNA Structures DataBase (URSDB) stores information obtained from all RNA-containing PDB entries (2935 entries in October 2015). The content of the database is updated regularly. The database consists of 51 tables containing indexed data on various elements of the RNA structures. The database provides a web interface allowing user to select a subset of structures with desired features and to obtain various statistical data for a selected subset of structures or for all structures. In particular, one can easily obtain statistics on geometric parameters of base pairs, on structural motifs (stems, loops, etc.) or on different types of pseudoknots. The user can also view and get information on an individual structure or its selected parts, e.g. RNA–protein hydrogen bonds. URSDB employs a new original definition of loops in RNA structures. That definition fits both pseudoknot-free and pseudoknotted secondary structures and coincides with the classical definition in case of pseudoknot-free structures. To our knowledge, URSDB is the first database supporting searches based on topological classification of pseudoknots and on extended loop classification. Database URL : http://server3.lpm.org.ru/urs/