Publications related to Searching the coding region for microRNA targets

Related publications (36)

Designing DNA-based nanotubes as near-infrared sensors for detecting cancer biomarkers

Optical biosensors offer significant advantages for minimally invasive in vivo and in vitro diagnostics. Optical sensors that are based on the fluorescence of semiconducting single-walled carbon nanotubes (SWCNTs) especially benefit from a near-infrared (n ...

EPFL2025

GraphFedAI framework for DDoS attack detection in IoT systems using federated learning and graph based artificial intelligence

Zaffar Ahmed Shaikh

The Internet of Things (IoT) consists of physical objects and devices embedded with network connectivity, software, and sensors to collect and transmit data. The development of the Internet of Things (IoT) has led to various security and privacy issues, in ...

2025

Engineering novel protein interactions with therapeutic potential using deep learning-guided surface design

Anthony Marchand

Proteins are foundational biomolecules of life playing a crucial role in a myriad of biological processes. Their function often requires interplay with other biomolecules, including proteins themselves. Protein-protein interactions (PPIs) are essential for ...

EPFL2024

Reach For the Arcs: Reconstructing Surfaces from SDFs via Tangent Points

Yingying Ren

We introduce an algorithm to reconstruct a mesh from discrete samples of a shape's Signed Distance Function (SDF). A simple geometric reinterpretation of the SDF lets us formulate the problem through a point cloud, from which a surface can be extracted wit ...

Association for Computing Machinery2024

A ride time-oriented scheduling algorithm for dial-a-ride problems

Nikolaos Geroliminis, Claudia Bongiovanni, Mor Kaspi

This paper offers a new algorithm to efficiently optimize scheduling decisions for dial-a-ride problems (DARPs), including problem variants considering electric and autonomous vehicles (e-ADARPs). The scheduling heuristic, based on linear programming theor ...

Pergamon-Elsevier Science Ltd2024

Towards improving full-length ribosome density prediction by bridging sequence and graph-based representations

Mohan Vamsi Nallapareddy, Pierre Vandergheynst, Felix Naef, Cédric Gobet, Francesco Craighero

Translation elongation plays an important role in regulating protein concentrations in the cell, and dysregulation of this process has been linked to several human diseases. In this study, we use data from ribo-seq experiments to model ribosome densities, ...

PMLR2024

Adaptive projected variational quantum dynamics

Giuseppe Carleo, Stefano Barison, David Linteau

We propose an adaptive quantum algorithm to prepare accurate variational time evolved wave functions. The method is based on the projected variational quantum dynamics (pVQD) algorithm, that performs a global optimization with linear scaling in the number ...

Amer Physical Soc2024

Gibbs sampling the posterior of neural networks

Lenka Zdeborová, Emanuele Troiani, Giovanni Piccioli

In this paper, we study sampling from a posterior derived from a neural network. We propose a new probabilistic model consisting of adding noise at every pre- and post-activation in the network, arguing that the resulting posterior can be sampled using an ...

Iop Publishing Ltd2024

Parallel faceted imaging in radio interferometry via proximal splitting (Faceted HyperSARA) - II. Code and real data proof of concept

Jean-Philippe Thiran, Ming Jiang

In a companion paper, a faceted wideband imaging technique for radio interferometry, dubbed Faceted HyperSARA, has been introduced and validated on synthetic data. Building on the recent HyperSARA approach, Faceted HyperSARA leverages the splitting functio ...

OXFORD UNIV PRESS2023

Variants of the gain domain of adhesion g protein-coupled receptors

Louis Georges Baptiste Dumas, Patrick Daniel Barth, Matthieu François Marfoglia

The present invention relates to variants of the GAIN domain (G-protein-coupled receptor autoproteolysis-inducing domain) of an adhesion G protein-coupled receptor (ADGRG), such as a GAIN domain variant comprising or consisting of the amino acid sequence o ...

2023

Single-Molecule Peptide Identification Using Fluorescence Blinking Fingerprints

Pablo Rivera Fuentes, Salome Riccarda Püntener

The ability to identify peptides with single-molecule sensitivity would lead to next-generation proteomics methods for basic research and clinical applications. Existing single-molecule peptide sequencing methods can read some amino acid sequences, but the ...

AMER CHEMICAL SOC2023

Landscapes of DNA Mechanics and Genomes

Thomas Antonin Zwahlen

The local physical properties - such as shape and flexibility - of the DNA double-helix is today widely believed to be influenced by nucleic acid sequence in a non-trivial way. Furthermore, there is strong evidence that these properties play a role in many ...

EPFL2023

Results on Sparse Integer Programming and Geometric Independent Sets

Jana Tabea Cslovjecsek

An integer linear program is a problem of the form max{c^T x : Ax=b, x >= 0, x integer}, where A is in Z^(n x m), b in Z^m, and c in Z^n. Solving an integer linear program is NP-hard in general, but there are several assumptions for which it becomes fixed ...

EPFL2023

Bayesian reconstruction of memories stored in neural networks from their connectivity

Lenka Zdeborová, Florent Gérard Krzakala

The advent of comprehensive synaptic wiring diagrams of large neural circuits has created the field of connectomics and given rise to a number of open research questions. One such question is whether it is possible to reconstruct the information stored in ...

2023

cgNA+: A sequence-dependent coarse-grain model of double-stranded nucleic acids

Rahul Sharma

DNA mechanics plays a crucial role in many biological processes, including nucleosome positioning and protein-DNA interactions. It is believed that nature employs epigenetic modifications in DNA to further regulate gene expression. Moreover, double-strande ...

EPFL2023

Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds

Adam Teodor Polak, Marek Elias

We study the online problem of minimizing power consumption in systems with multiple power-saving states. During idle periods of unknown lengths, an algorithm has to choose between power-saving states of different energy consumption and wake-up costs. We d ...

2021

Ribo-DT: An automated pipeline for inferring codon dwell times from ribosome profiling data

Felix Naef, Cédric Gobet

Protein synthesis is an energy consuming process characterised as a pivotal and highly regulated step in gene expression. The net protein output is dictated by a combination of translation initiation, elongation and termination rates that have remained dif ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2022

Toward a mechanistic understanding of variable chromatin modules

Gerard Llimos Aubach

Our genome is a long sequence of DNA that contains all the information to be able to constitute a living organism like us, similarly to what the letters in a book do to create a story. This sequence, which is a stretch of molecules called nucleotides, is a ...

EPFL2021

Diverse cell-specific patterns of alternative polyadenylation in Drosophila

Bart Deplancke

Most genes in higher eukaryotes express isoforms with distinct 3' untranslated regions (3' UTRs), generated by alternative polyadenylation (APA). Since 3' UTRs are predominant locations of post-transcriptional regulation, APA can render such programs condi ...

Nature Portfolio2022

Circadian dynamics of RNA localisation in the mammalian liver

Clémence Yumie Syloun Hurni

Gene expression in eukaryotes is a complex multi-step process. It starts in the nucleus with transcription, the synthesis of a mRNA copy from a DNA template. While in the nucleus, the RNA transcript is subject to multiple co- and post-transcriptional modif ...

EPFL2021