VLDB 2026 Research / reviewers in the wild / expert
Maxim Shatsky
dblp:03/1564
· DBLP profile ↗
6ranked-venue papers
3as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 6 · 3 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
3 papers |
Bioinformatics and computational biology · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
protein structure analysis |
0.1 | 1 | 2010 | Alignment-free local structural search by writhe decomposition · Bioinform. 2010 |
Bioinformatics and computational biology › protein structure analysis
protein structure search |
0.1 | 1 | 2010 | Alignment-free local structural search by writhe decomposition · Bioinform. 2010 |
Bioinformatics and computational biology › structural bioinformatics
protein structure |
0.1 | 2 | 2005 | Recognition of Binding Patterns Common to a Set of Protein Structures · RECOMB 2005 Alignment of Flexible Protein Structures · ISMB 2000 |
Bioinformatics and computational biology › protein structure analysis
structural alignment |
0.0 | 1 | 2000 | Alignment of Flexible Protein Structures · ISMB 2000 |
Methods — techniques the papers use, named apart from their topics
writhe decomposition · 0.1projection-based structural comparison · 0.1structural pattern recognition · 0.1structural alignment · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Alignment-free local structural search by writhe decompositionabstractMOTIVATION: Rapid methods for protein structure search enable biological discoveries based on flexibly defined structural similarity, unleashing the power of the ever greater number of solved protein structures. Projection methods show promise for the development of fast structural database search solutions. Projection methods map a structure to a point in a high-dimensional space and compare two structures by measuring distance between their projected points. These methods offer a tremendous increase in speed over residue-level structural alignment methods. However, current projection methods are not practical, partly because they are unable to identify local similarities. RESULTS: We propose a new projection-based approach that can rapidly detect global as well as local structural similarities. Local structural search is enabled by a topology-inspired writhe decomposition protocol that produces a small number of fragments while ensuring that similar structures are cut in a similar manner. In benchmark tests, we show that our method, writher, improves accuracy over existing projection methods in terms of recognizing scop domains out of multi-domain proteins, while maintaining accuracy comparable with existing projection methods in a standard single-domain benchmark test. AVAILABILITY: The source code is available at the following website: http://compbio.berkeley.edu/proj/writher/. Degui Zhi, Maxim Shatsky, Steven E. Brenner |
Bioinform. | 2 |
| 2007 | Alignment-Free Local Structural Search by Writhe Decomposition
Degui Zhi, Maxim Shatsky, Steven E. Brenner |
WABI | 2 |
| 2007 | EMatch: Discovery of High Resolution Structural Homologues of Protein Domains in Intermediate Resolution Cryo-EM MapsabstractCryo-EM has become an increasingly powerful technique for elucidating the structure, dynamics, and function of large flexible macromolecule assemblies that cannot be determined at atomic resolution. However, due to the relatively low resolution of cryo-EM data, a major challenge is to identify components of complexes appearing in cryo-EM maps. Here, we describe EMatch, a novel integrated approach for recognizing structural homologues of protein domains present in a 6-10 A resolution cryo-EM map and constructing a quasi-atomic structural model of their assembly. The method is highly efficient and has been successfully validated on various simulated data. The strength of the method is demonstrated by a domain assembly of an experimental cryo-EM map of native GroEL at 6 A resolution. Keren Lasker, Oranit Dror, Maxim Shatsky, Ruth Nussinov, Haim J. Wolfson |
IEEE ACM Trans. Comput. Biol. Bioinform. | 3 |
| 2005 | Recognition of Binding Patterns Common to a Set of Protein Structures
Maxim Shatsky, Alexandra Shulman-Peleg, Ruth Nussinov, Haim J. Wolfson |
RECOMB | 1 |
| 2002 | MultiProt - A Multiple Protein Structural Alignment Algorithm
Maxim Shatsky, Ruth Nussinov, Haim J. Wolfson |
WABI | 1 |
| 2000 | Alignment of Flexible Protein Structures
Maxim Shatsky, Zipora Y. Fligelman, Ruth Nussinov, Haim J. Wolfson |
ISMB | 1 |