Environmental responses of the Northeast Antarctic Peninsula to the ...

A 2800 m deep station was sampled on three occasions, in January 1999, June 1999 and April 2000, in the lower part of Cap-Ferret Canyon (Bay of Biscay).







Holocene sediment transport and climate variability of offshore ...
Studies of Climatic Effects and Impacts Relevant to Deep Underground Disposal of Radioactive Waste, Nirex Report. NSS/R267, United Kingdom Nirex Limited, ...
Acoustics for underwater neutrino telescopes | ANTARES
Pursuant to Article 1 of the Convention signed in Paris on 14th December 1960, and which came into force on 30th September 1961, the Organisation for ...
Live foraminiferal faunas from a 2800 m deep lower canyon station ...
This thesis proposes new algorithms based on three- dimensional (3D) image processing to compare global and subtle patterns in different protein ...
The Use of Thermodynamic Databases in Performance Assessment
DeepSite is a deep convolutional neural network trained with protein struc- tural data, treating proteins as 3D images. The network predicts the presence of ...
UNIVERSITÉ DE STRASBOURG
Finally, we have developed DeepSite (Pub. 6.1) a state-of-the-art ligand binding pocket detector based on convolutional neural networks. 29 ...
Simulations meet Machine Learning in Structural Biology
Les résidus miniers au Chili constituent le matériau stérile résultant du processus d'extraction du cuivre par broyage et flottation.
Gerard Mart?nez - TDX (Tesis Doctorals en Xarxa)
DeepSite: protein binding site predictor using 3D-convolutional neural networks. Bioinformatics 33, 3036?3042. https://doi.org/10.1093 ...
Appel à candidatures : Contacts et adresses correspondance ...
In the present work, to improve the speed and accuracy of blind docking, we developed a method,. Deep Site and Docking Pose (DSDP), to combine the advantages of ...
A Systematic Survey in Geometric Deep Learning for Structure ...
Abstract?Structure-based drug design (SBDD), which utilizes the three-dimensional geometry of proteins to identify potential drug.
Geometric Deep Learning for Structural Bioinformatics
Structural biology is a scientific field aiming at understanding life by using the 3D structures of important molecules, available thanks to experimental and ...
Sequence-based Drug-Target Complex Pre-training ... - bioRxiv
Abstract. Predicting protein-ligand binding processes, such as affinity and kinetics, is crit- ical for accelerating drug discovery.
YWP - Séminaire IA - Yes we prompt
Le Séminaire IA s'adresse à un public professionnel souhaitant aller au-delà des usages basiques de l'intelligence artificielle et acquérir une réelle ...