EDBT 2026 Demo / reviewers in the wild / expert
Alvaro Alfayate
dblp:255/6687
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2019
0009-0003-2656-1420ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 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
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
protein dynamics |
0.4 | 1 | 2019 | Predicted dynamical couplings of protein residues characterize catalysis, transport and allostery · Bioinform. 2019 |
Bioinformatics and computational biology › protein analysis › protein bioinformatics
protein function analysis |
0.4 | 1 | 2019 | Predicted dynamical couplings of protein residues characterize catalysis, transport and allostery · Bioinform. 2019 |
Methods — techniques the papers use, named apart from their topics
torsional network model · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Predicted dynamical couplings of protein residues characterize catalysis, transport and allosteryabstractMOTIVATION: Protein function is intrinsically linked to native dynamics, but the systematic characterization of functionally relevant dynamics remains elusive besides specific examples. Here we exhaustively characterize three types of dynamical couplings between protein residues: co-directionality (moving along collinear directions), coordination (small fluctuations of the interatomic distance) and deformation (the extent by which perturbations applied at one residue modify the local structure of the other one), which we analytically compute through the torsional network model. RESULTS: We find that ligand binding sites are characterized by large within-site coordination and co-directionality, much larger than expected for generic sets of residues with equivalent sequence distances. In addition, catalytic sites are characterized by high coordination couplings with other residues in the protein, supporting the view that the overall protein structure facilitates the catalytic dynamics. The binding sites of allosteric effectors are characterized by comparably smaller coordination and higher within-site deformation than other ligands, which supports their dynamic nature. Allosteric inhibitors are coupled to the active site more frequently through deformation than through coordination, while the contrary holds for activators. We characterize the dynamical couplings of the sodium-dependent Leucine transporter protein (LeuT). The couplings between and within sites progress consistently along the transport cycle, providing a mechanistic description of the coupling between the uptake and release of ions and substrate, and they highlight qualitative differences between the wild-type and a mutant for which chloride is necessary for transport. AVAILABILITY AND IMPLEMENTATION: The program tnm is freely available at https://github.com/ugobas/tnm. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Alvaro Alfayate, Carlos Rodriguez Caceres, Helena G. Dos Santos, Ugo Bastolla |
Bioinform. | 1 |