Demo Data from EDBT 2026 / reviewers in the wild / expert
A. M. Eroshkin
dblp:78/1602
· DBLP profile ↗
3ranked-venue papers
2as first author
0since 2021 · last 1997
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 3 · 2 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 6 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
protein sequence analysis |
0.0 | 2 | 1995 | PROANAL version 2: multifunctional program for analysis of multiple protein sequence alignments and for studying the structure--activity relationships in protein families · Comput. Appl. Biosci. 1995 Algorithm and computer program Pro_Anal for analysis of relationship between structure and activity in a family of proteins or peptides · Comput. Appl. Biosci. 1993 |
Bioinformatics and computational biology › molecular informatics › cheminformatics
structure-activity relationship analysis |
0.0 | 2 | 1995 | PROANAL version 2: multifunctional program for analysis of multiple protein sequence alignments and for studying the structure--activity relationships in protein families · Comput. Appl. Biosci. 1995 Algorithm and computer program Pro_Anal for analysis of relationship between structure and activity in a family of proteins or peptides · Comput. Appl. Biosci. 1993 |
Bioinformatics and computational biology
multiple sequence alignment |
0.0 | 1 | 1997 | ProMSED: protein multiple sequence editor for Windows 3.11/95 · Comput. Appl. Biosci. 1997 |
Bioinformatics and computational biology › sequence alignment
sequence alignment editing |
0.0 | 1 | 1997 | ProMSED: protein multiple sequence editor for Windows 3.11/95 · Comput. Appl. Biosci. 1997 |
Bioinformatics and computational biology
sequence analysis |
0.0 | 1 | 1997 | ProMSED: protein multiple sequence editor for Windows 3.11/95 · Comput. Appl. Biosci. 1997 |
Bioinformatics and computational biology
protein engineering |
0.0 | 1 | 1995 | PROANAL version 2: multifunctional program for analysis of multiple protein sequence alignments and for studying the structure--activity relationships in protein families · Comput. Appl. Biosci. 1995 |
Methods — techniques the papers use, named apart from their topics
clustalv · 0.0multiple linear regression · 0.0correlation analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1997 | ProMSED: protein multiple sequence editor for Windows 3.11/95abstractMOTIVATION: Most protein sequence alignment algorithms give similar results on closely related proteins, while manual intervention may be needed for distantly related molecules. To correct the alignment, it is often necessary to repeat calculations on selected parts of the alignments and edit the alignment manually. Software implementing such interactive alignment procedures is of significance. RESULTS: This paper presents a new MS Windows application called ProMSED for both automatic and manual protein sequence alignment. The program reads main sequence formats and has a user-friendly interface. ProMSED performs automatic (ClustalV algorithm) alignments, alignment visualization and editing, and it allows sequences to be aligned interactively leaving previously aligned regions unchanged. Manual alignment and sequence analysis are facilitated by colouring schemes reflecting amino acid similarity of mutational and physicochemical properties. The interactive alignment of a diverged set of reverse transcriptases has located four out of six known conserved motifs. AVAILABILITY: ProMSED is available on request from the authors. DEMO is available from ftp://ftp.ebi.ac.uk/pub/ software/dos/promsed/ or ftp://iubio.bio.indiana.edu/molbio/ ibmpc/. Anatoly S. Frolov, I. S. Pika, A. M. Eroshkin |
Comput. Appl. Biosci. | 3 |
| 1995 | PROANAL version 2: multifunctional program for analysis of multiple protein sequence alignments and for studying the structure--activity relationships in protein familiesabstractA new version of the program PROANAL is described. A multiple linear regression analysis of the protein structure--activity relationship allows one to investigate the combinations of protein sites and factors influencing the activity. The program also provides the possibility to seek out protein sites, conservative or variable in variations of physicochemical characteristics, and regions with high or low values of these characteristics. PROANAL2 may be useful in the simulation of protein-engineering experiments and in the search of a number of protein regions such as functional sites, secondary structures, solvent-exposed regions, T- and B-cell antigenic determinants, etc. A. M. Eroshkin, V. I. Fomin, P. A. Zhilkin, V. V. Ivanisenko, Yury V. Kondrakhin |
Comput. Appl. Biosci. | 1 |
| 1993 | Algorithm and computer program Pro_Anal for analysis of relationship between structure and activity in a family of proteins or peptidesabstractIn this paper we introduce a computer algorithm and program Pro__Anal for analysis of the structure-activity relationship in a family of evolutionarily related (and/or artificially mutated) proteins/peptides. The program uses aligned amino acid sequences with data of their activity (pK, Km, ED50 or any other) and searches for correlations between data on activity and various physico-chemical characteristics of different regions in primary structures. In automatic mode, the program generates and verifies hypotheses on the disposition of a sequential modulating region in a protein, and key characteristics of the region. In manual mode, users can generate and analyze their own hypotheses. The program is implemented on IBM PC or compatible computers. It is designed to be easily handled by the occasional computer user and yet it is powerful enough for experienced professionals. Pro__Anal operation is demonstrated on the example of finding modulating centers in a family of disintegrins-proteins from snake venoms which inhibit fibrinogen interaction with platelet receptors. In another example it is shown that the immunogenicity of peptides is connected with their positive charge. A. M. Eroshkin, P. A. Zhilkin, V. I. Fomin |
Comput. Appl. Biosci. | 1 |