Demo Data from EDBT 2026 / reviewers in the wild / expert
David Bomze
dblp:258/2589
· DBLP profile ↗
3ranked-venue papers
0as first author
1since 2021 · last 2021
0000-0003-2958-7055ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 3 · 1 since 2021
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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › protein analysis
protein-protein interaction |
1.4 | 3 | 2021 | Structural basis of SARS-CoV-2 spike protein induced by ACE2 · Bioinform. 2021 κ-helix and the helical lock and key model: a pivotal way of looking at polyproline II · Bioinform. 2020 A helical lock and key model of polyproline II conformation with SH3 · Bioinform. 2020 |
Bioinformatics and computational biology › structural biology
protein structure and function |
1.4 | 3 | 2021 | Structural basis of SARS-CoV-2 spike protein induced by ACE2 · Bioinform. 2021 κ-helix and the helical lock and key model: a pivotal way of looking at polyproline II · Bioinform. 2020 A helical lock and key model of polyproline II conformation with SH3 · Bioinform. 2020 |
Bioinformatics and computational biology › protein analysis
protein domain interaction |
0.4 | 1 | 2020 | κ-helix and the helical lock and key model: a pivotal way of looking at polyproline II · Bioinform. 2020 |
Methods — techniques the papers use, named apart from their topics
structural analysis · 1.4geometric analysis · 0.9x-ray crystallography · 0.5cryo-EM · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Structural basis of SARS-CoV-2 spike protein induced by ACE2abstractMOTIVATION: The recent emergence of the novel SARS-coronavirus 2 (SARS-CoV-2) and its international spread pose a global health emergency. The spike (S) glycoprotein binds ACE2 and promotes SARS-CoV-2 entry into host cells. The trimeric S protein binds the receptor using the receptor-binding domain (RBD) causing conformational changes in S protein that allow priming by host cell proteases. Unraveling the dynamic structural features used by SARS-CoV-2 for entry might provide insights into viral transmission and reveal novel therapeutic targets. Using structures determined by X-ray crystallography and cryo-EM, we performed structural analysis and atomic comparisons of the different conformational states adopted by the SARS-CoV-2-RBD. RESULTS: Here, we determined the key structural components induced by the receptor and characterized their intramolecular interactions. We show that κ-helix (polyproline-II) is a predominant structure in the binding interface and in facilitating the conversion to the active form of the S protein. We demonstrate a series of conversions between switch-like κ-helix and β-strand, and conformational variations in a set of short α-helices which affect the hinge region. These conformational changes lead to an alternating pattern in conserved disulfide bond configurations positioned at the hinge, indicating a possible disulfide exchange, an important allosteric switch implicated in viral entry of various viruses, including HIV and murine coronavirus. The structural information presented herein enables to inspect and understand the important dynamic features of SARS-CoV-2-RBD and propose a novel potential therapeutic strategy to block viral entry. Overall, this study provides guidance for the design and optimization of structure-based intervention strategies that target SARS-CoV-2. AVAILABILITY AND IMPLEMENTATION: We have implemented the proposed methods in an R package freely available at https://github.com/Grantlab/bio3d. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Tomer Meirson, David Bomze, Gal Markel |
Bioinform. | 2 |
| 2020 | A helical lock and key model of polyproline II conformation with SH3abstractMOTIVATION: More than half of the human proteome contains the proline-rich motif, PxxP. This motif has a high propensity for adopting a left-handed polyproline II (PPII) helix and can potentially bind SH3 domains. SH3 domains are generally grouped into two classes, based on whether the PPII binds in a positive (N-to-C terminal) or negative (C-to-N terminal) orientation. Since the discovery of this structural motif, over six decades ago, a systematic understanding of its binding remains poor and the consensus amino acid sequence that binds SH3 domains is still ill defined. RESULTS: Here, we show that the PPII interaction with SH3 domains is governed by the helix backbone and its prolines, and their rotation angle around the PPII helical axis. Based on a geometric analysis of 131 experimentally solved SH3 domains in complex with PPIIs, we observed a rotary translation along the helical screw axis, and separated them by 120° into three categories we name α (0-120°), β (120-240°) and γ (240-360°). Furthermore, we found that PPII helices are distinguished by a shifting PxxP motif preceded by positively charged residues which act as a structural reading frame and dictates the organization of SH3 domains; however, there is no one single consensus motif for all classified PPIIs. Our results demonstrate a remarkable apparatus of a lock with a rotating and translating key with no known equivalent machinery in molecular biology. We anticipate our model to be a starting point for deciphering the PPII code, which can unlock an exponential growth in our understanding of the relationship between protein structure and function. AVAILABILITY AND IMPLEMENTATION: We have implemented the proposed methods in the R software environment and in an R package freely available at https://github.com/Grantlab/bio3d. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Tomer Meirson, David Bomze, Liron Gat Kahlon, Hava Gil-Henn, Abraham O. Samson |
Bioinform. | 2 |
| 2020 | κ-helix and the helical lock and key model: a pivotal way of looking at polyproline IIabstractMOTIVATION: Polyproline II (PPII) is a common conformation, comparable to α-helix and β-sheet. PPII, recently termed with a more generic name-κ-helix, adopts a left-handed structure with 3-fold rotational symmetry. Lately, a new type of binding mechanism-the helical lock and key model was introduced in SH3-domain complexes, where the interaction is characterized by a sliding helical pattern. However, whether this binding mechanism is unique only to SH3 domains is unreported. RESULTS: Here, we show that the helical binding pattern is a universal feature of the κ-helix conformation, present within all the major target families-SH3, WW, profilin, MHC-II, EVH1 and GYF domains. Based on a geometric analysis of 255 experimentally solved structures, we found that they are characterized by a distinctive rotational angle along the helical axis. Furthermore, we found that the range of helical pitch varies between different protein domains or peptide orientations and that the interaction is also represented by a rotational displacement mimicking helical motion. The discovery of rotational interactions as a mechanism, reveals a new dimension in the realm of protein-protein interactions, which introduces a new layer of information encoded by the helical conformation. Due to the extensive involvement of the conformation in functional interactions, we anticipate our model to expand the current molecular understanding of the relationship between protein structure and function. AVAILABILITY AND IMPLEMENTATION: We have implemented the proposed methods in an R package freely available at https://github.com/Grantlab/bio3d. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Tomer Meirson, David Bomze, Gal Markel, Abraham O. Samson |
Bioinform. | 2 |