Demo Data from EDBT 2026 / reviewers in the wild / expert
Kenneth Hodge
dblp:221/7079
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0002-2451-0318ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2
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
2 papers |
Bioinformatics and computational biology · 100% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › proteomics
post-translational modification |
0.4 | 1 | 2019 | PTM-Logo: a program for generation of sequence logos based on position-specific background amino-acid probabilities · Bioinform. 2019 |
Bioinformatics and computational biology › proteomics
mass spectrometry data analysis |
0.1 | 1 | 2019 | PTM-Logo: a program for generation of sequence logos based on position-specific background amino-acid probabilities · Bioinform. 2019 |
Bioinformatics and computational biology
protein structure analysis |
0.1 | 1 | 2018 | AbDesigner3D: a structure-guided tool for peptide-based antibody production · Bioinform. 2018 |
Bioinformatics and computational biology › protein structure analysis › protein surface analysis
solvent accessible surface |
0.1 | 1 | 2018 | AbDesigner3D: a structure-guided tool for peptide-based antibody production · Bioinform. 2018 |
Methods — techniques the papers use, named apart from their topics
position-specific background probability · 0.43d structural data integration · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | PTM-Logo: a program for generation of sequence logos based on position-specific background amino-acid probabilitiesabstractSUMMARY: Identification of the amino-acid motifs in proteins that are targeted for post-translational modifications (PTMs) is of great importance in understanding regulatory networks. Information about targeted motifs can be derived from mass spectrometry data that identify peptides containing specific PTMs such as phosphorylation, ubiquitylation and acetylation. Comparison of input data against a standardized 'background' set allows identification of over- and under-represented amino acids surrounding the modified site. Conventionally, calculation of targeted motifs assumes a random background distribution of amino acids surrounding the modified position. However, we show that probabilities of amino acids depend on (i) the type of the modification and (ii) their positions relative to the modified site. Thus, software that identifies such over- and under-represented amino acids should make appropriate adjustments for these effects. Here we present a new program, PTM-Logo, that generates representations of these amino acid preferences ('logos') based on position-specific amino-acid probability backgrounds calculated either from user-input data or curated databases. AVAILABILITY AND IMPLEMENTATION: PTM-Logo is freely available online at http://sysbio.chula.ac.th/PTMLogo/ or https://hpcwebapps.cit.nih.gov/PTMLogo/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Thammakorn Saethang, Kenneth Hodge, Chin-Rang Yang, Ingorn Kimkong, Mark A. Knepper, Trairak Pisitkun |
Bioinform. | 2 |
| 2018 | AbDesigner3D: a structure-guided tool for peptide-based antibody productionabstractSummary: We present AbDesigner3D, a new tool for identification of optimal immunizing peptides for antibody production using a peptide-based strategy. AbDesigner3D integrates 3D structural data from the Protein Data Bank (PDB) with UniProt data, which includes basic sequence data, post-translational modification sites, SNP occurrences and more. Other features, such as uniqueness and conservation scores, are calculated based on sequences from UniProt. The 3D visualization capabilities allow an intuitive interface, while an abundance of quantitative output simplifies the process of comparing immunogen peptides. Important quantitative features added in this tool include calculation and display of accessible surface area (ASA) and protein-protein interacting residues (PPIR). The specialized data visualization features of AbDesigner3D will greatly assist users to optimize their choice of immunizing peptides. Availability and implementation: AbDesigner3D is freely available at http://sysbio.chula.ac.th/AbDesigner3D or https://hpcwebapps.cit.nih.gov/AbDesigner3D/. Supplementary information: Supplementary data are available at Bioinformatics online. Thammakorn Saethang, Kenneth Hodge, Ingorn Kimkong, D. Michael Payne, Mark A. Knepper, Trairak Pisitkun |
Bioinform. | 2 |