Results 1 to 10 of about 586,234 (168)

Bacterial Protein Homeostasis Disruption as a Therapeutic Intervention

Frontiers in Molecular Biosciences, 2021
Cells have evolved a complex molecular network, collectively called the protein homeostasis (proteostasis) network, to produce and maintain proteins in the appropriate conformation, concentration and subcellular localization.
Laleh Khodaparast, Laleh Khodaparast, Guiqin Wu, Guiqin Wu, Ladan Khodaparast, Ladan Khodaparast, Béla Z. Schmidt, Béla Z. Schmidt, Frederic Rousseau, Frederic Rousseau, Joost Schymkowitz, Joost Schymkowitz   +11 more
doaj   +1 more source

Exploiting the aggregation propensity of beta-lactamases to design inhibitors that induce enzyme misfolding

Nature Communications, 2023
There is an arms race between beta-lactam antibiotics development and co-evolving beta-lactamases, which provide resistance by breaking down beta-lactam rings.
Ladan Khodaparast, Laleh Khodaparast, Guiqin Wu, Emiel Michiels, Rodrigo Gallardo, Bert Houben, Teresa Garcia, Matthias De Vleeschouwer, Meine Ramakers, Hannah Wilkinson, Ramon Duran-Romaña, Johan Van Eldere, Frederic Rousseau, Joost Schymkowitz   +13 more
doaj   +1 more source

Switch on, switch off: stiction in nanoelectromechanical switches [PDF]

Nanotechnology, 2013
We present a theoretical investigation of stiction in nanoscale electromechanical contact switches. We develop a mathematical model to describe the deflection of a cantilever beam in response to both electrostatic and van der Waals forces. Particular focus is given to the question of whether adhesive van der Waals forces cause the cantilever to remain ...
Wagner, Till J W, Vella, Dominic
openaire   +4 more sources

Mapping the sequence specificity of heterotypic amyloid interactions enables the identification of aggregation modifiers

Nature Communications, 2022
In this work, Louros et al. uncover a rule book for interactions of amyloids with other proteins. This grammar was shown to promote cellular spreading of tau aggregates in cells, but can also be harvested to develop structure-based aggregation blockers.
Nikolaos Louros, Meine Ramakers, Emiel Michiels, Katerina Konstantoulea, Chiara Morelli, Teresa Garcia, Nele Moonen, Sam D’Haeyer, Vera Goossens, Dietmar Rudolf Thal, Dominique Audenaert, Frederic Rousseau, Joost Schymkowitz   +12 more
doaj   +1 more source

PyUUL provides an interface between biological structures and deep learning algorithms

Nature Communications, 2022
While artificial intelligence (AI) is quickly becoming ubiquitous, biology still suffers from the lack of interfaces connecting biological structures and modern AI methods. Here, the authors report PyUUL, a library to translate biological structures into
Gabriele Orlando, Daniele Raimondi, Ramon Duran-Romaña, Yves Moreau, Joost Schymkowitz, Frederic Rousseau   +5 more
doaj   +1 more source

HPMPdb: A machine learning-ready database of protein molecular phenotypes associated to human missense variants

Current Research in Structural Biology, 2022
Current human Single Amino acid Variants (SAVs) databases provide a link between a SAVs and their effect on the carrier individual phenotype, often dividing them into Deleterious/Neutral variants. This is a very coarse-grained description of the genotype-
Daniele Raimondi, Francesco Codicè, Gabriele Orlando, Joost Schymkowitz, Frederic Rousseau, Yves Moreau   +5 more
doaj   +1 more source

SNPeffect 5.0: large-scale structural phenotyping of protein coding variants extracted from next-generation sequencing data using AlphaFold models

BMC Bioinformatics, 2023
Background Next-generation sequencing technologies yield large numbers of genetic alterations, of which a subset are missense variants that alter an amino acid in the protein product.
Kobe Janssen, Ramon Duran-Romaña, Guy Bottu, Mainak Guharoy, Alexander Botzki, Frederic Rousseau, Joost Schymkowitz   +6 more
doaj   +1 more source

Structure-based machine-guided mapping of amyloid sequence space reveals uncharted sequence clusters with higher solubilities

Nature Communications, 2020
An increasing number of amyloid structures are determined. Here, the authors present the structure-based amyloid core sequence prediction method Cordax that is based on machine learning and allows the detection of aggregation-prone regions with higher ...
Nikolaos Louros, Gabriele Orlando, Matthias De Vleeschouwer, Frederic Rousseau, Joost Schymkowitz   +4 more
doaj   +1 more source

Targeting S100B with Peptides Encoding Intrinsic Aggregation-Prone Sequence Segments

Molecules, 2021
S100 proteins assume a diversity of oligomeric states including large order self-assemblies, with an impact on protein structure and function. Previous work has uncovered that S100 proteins, including S100B, are prone to undergo β-aggregation under ...
Joana S. Cristóvão, Mariana A. Romão, Rodrigo Gallardo, Joost Schymkowitz, Frederic Rousseau, Cláudio M. Gomes   +5 more
doaj   +1 more source

Sectionalizing Switches Placement in Distribution Networks Using BTLBO [PDF]

International Journal of Research and Technology in Electrical Industry, 2023
Sectionalizing switches (SS) and lines play an essential role in improving the performance of the distribution automation system as well as reducing the outage duration of power grid customers. The operation of the sectionalizing switches and whether the
Saeed Fayyazi, Ehsan Azad Farsani
doaj   +1 more source