Publication

Clustering protein environments for function prediction: finding PROSITE motifs in 3D

Related publications (61)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Clustering protein environments for function prediction: finding PROSITE motifs in 3D

Graph Chatbot

Chat with Graph Search

A Geometric Transformer for Structural Biology: Development and Applications of the Protein Structure Transformer

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

Transfer learning application of self-supervised learning in ARPES

Machine-learned interatomic potentials: Recent developments and prospective applications

Improving K-means Clustering Using Speculation

Discriminative clustering with representation learning with any ratio of labeled to unlabeled data

Computational design of novel protein–protein interactions – An overview on methodological approaches and applications

Extracting phylogenetic dimensions of coevolution reveals hidden functional signals

Towards automating de novo protein design for novel functionalities: controlling protein folds and protein-protein interactions

Metric learning for kernel ridge regression: assessment of molecular similarity