Publications associées à Multiple sequence alignment

TTool: A Supervised Artificial Intelligence-Assisted Visual Pose Detector for Tool Heads in Augmented Reality Woodworking

Yves Weinand, Julien Gamerro, Andrea Settimi, Florian Aymanns, Naravich Chutisilp

We present TimberTool (TTool v2.1.1), a software designed for woodworking tasks assisted by augmented reality (AR), emphasizing its essential function of the real-time localization of a tool head’s poses within camera frames. The localization process, a fu ...

2024

The capabilities of deep learning systems have advanced much faster than our ability to understand them. Whilst the gains from deep neural networks (DNNs) are significant, they are accompanied by a growing risk and gravity of a bad outcome. This is tr ...

Generative power of a protein language model trained on multiple sequence alignments

Anne-Florence Raphaëlle Bitbol, Damiano Sgarbossa, Umberto Lupo

Computational models starting from large ensembles of evolutionarily related protein sequences capture a representation of protein families and learn constraints associated to protein structure and function. They thus open the possibility for generating no ...

eLIFE SCIENCES PUBL LTD2023

Combining phylogeny and coevolution improves the inference of interaction partners among paralogous proteins

Anne-Florence Raphaëlle Bitbol

Author summaryWhen two protein families interact, their sequences feature statistical dependencies. First, interacting proteins tend to share a common evolutionary history. Second, maintaining structure and interactions through the course of evolution yiel ...

PUBLIC LIBRARY SCIENCE2023

Impact of phylogeny on structural contact inference from protein sequence data

Anne-Florence Raphaëlle Bitbol, Nicola Dietler, Umberto Lupo

Local and global inference methods have been developed to infer structural contacts from multiple sequence alignments of homologous proteins. They rely on correlations in amino acid usage at contacting sites. Because homologous proteins share a common ance ...

ROYAL SOC2023

Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios

Olga Fink, Gaëtan Michel Frusque, Tianfu Li, Qi Li, Baorui Dai

The application of unsupervised domain adaptation (UDA)-based fault diagnosis methods has shown significant efficacy in industrial settings, facilitating the transfer of operational experience and fault signatures between different operating conditions, di ...

2023

Species-specific regulation of XIST by the JPX/FTX orthologs

Olga Marie Louise Rosspopoff

X chromosome inactivation (XCI) is an essential process, yet it initiates with remarkable diversity in various mammalian species. XIST, the main trigger of XCI, is controlled in the mouse by an interplay of lncRNA genes (LRGs), some of which evolved concom ...

OXFORD UNIV PRESS2023

Learnable Wavelet Transform and Domain Adversarial Learning for Enhanced Bearing Fault Diagnosis

Olga Fink, Gaëtan Michel Frusque, Qi Li, Baorui Dai

Research Publishing2023

Improved antibody pharmacokinetics by disruption of contiguous positive surface potential and charge reduction using alternate human framework

Andrea Pfeifer, Florence Gauye, Tariq Afroz, Monisha Ratnam

Optimal pharmacokinetic (PK) properties of therapeutic monoclonal antibodies (mAbs) are essential to achieve the desired pharmacological benefits in patients. To accomplish this, we followed an approach comprising structure-based mAb charge engineering in ...

TAYLOR & FRANCIS INC2023

Network Alignment With Holistic Embeddings

Thanh Trung Huynh, Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Chi Thang Duong

Network alignment is the task of identifying topologically and semantically similar nodes across (two) different networks. It plays an important role in various applications ranging from social network analysis to bioinformatic network interactions. Howeve ...

IEEE COMPUTER SOC2023

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Multiple sequence alignment

TTool: A Supervised Artificial Intelligence-Assisted Visual Pose Detector for Tool Heads in Augmented Reality Woodworking

Safe Deep Neural Networks

Generative power of a protein language model trained on multiple sequence alignments

Combining phylogeny and coevolution improves the inference of interaction partners among paralogous proteins

Impact of phylogeny on structural contact inference from protein sequence data

Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios

Species-specific regulation of XIST by the JPX/FTX orthologs

Learnable Wavelet Transform and Domain Adversarial Learning for Enhanced Bearing Fault Diagnosis

Improved antibody pharmacokinetics by disruption of contiguous positive surface potential and charge reduction using alternate human framework

Network Alignment With Holistic Embeddings

Graph Chatbot

Chattez avec Graph Search

Learnable Wavelet Transform and Domain Adversarial Learning for Enhanced Bearing Fault Diagnosis

Species-specific regulation of XIST by the JPX/FTX orthologs

Impact of phylogeny on structural contact inference from protein sequence data

Generative power of a protein language model trained on multiple sequence alignments

Safe Deep Neural Networks

TTool: A Supervised Artificial Intelligence-Assisted Visual Pose Detector for Tool Heads in Augmented Reality Woodworking

Network Alignment With Holistic Embeddings

Combining phylogeny and coevolution improves the inference of interaction partners among paralogous proteins

Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios

Improved antibody pharmacokinetics by disruption of contiguous positive surface potential and charge reduction using alternate human framework