Concept
Lattice protein
Related publications (26)
Deep learning approaches for conformational flexibility and switching properties in protein design
Patrick Daniel Barth, Mahdi Hijazi
Following the hugely successful application of deep learning methods to protein structure prediction, an increasing number of design methods seek to leverage generative models to design proteins with improved functionality over native proteins or novel str ...
2022On the use of direct-coupling analysis with a reduced alphabet of amino acids combined with super-secondary structure motifs for protein fold prediction
Direct-coupling analysis (DCA) for studying the coevolution of residues in proteins has been widely used to predict the three-dimensional structure of a protein from its sequence. We present RADI/raDIMod, a variation of the original DCA algorithm that grou ...
OXFORD UNIV PRESS2021Structure-Property Relationships in Complex Materials by Combining Supervised and Unsupervised Machine Learning
The work presented in this thesis combines supervised and unsupervised machine learning to examine structure-property relationships in databases of materials. While either supervised learning or unsupervised learning alone can be a powerful tool for assess ...
EPFL2021Protein-protein structure prediction by scoring molecular dynamics trajectories of putative poses
Bruno Emanuel Ferreira De Sousa Correia, Stefano Zamuner
The prediction of protein-protein interactions and their structural configuration remains a largely unsolved problem. Most of the algorithms aimed at finding the native conformation of a protein complex starting from the structure of its monomers are based ...
Wiley-Blackwell2016