David T. Jones

Improved protein structure prediction using potentials from deep learning

A large-scale evaluation of computational protein function prediction

Protein secondary structure prediction based on position-specific scoring matrices 1 1Edited by G. Von Heijne

pGenTHREADER and pDomTHREADER: new methods for improved protein fold recognition and superfamily discrimination

Abstract Motivation: Generation of structural models and recognition of homologous relationships for unannotated protein sequences are fundamental problems in bioinformatics. Im...

Genome3D: a UK collaborative project to annotate genomic sequences with predicted 3D structures based on SCOP and CATH domains

This FAIRsharing record describes: Genome3D is a resource that provides structural annotation and 3D models of genomes of model organisms such as human, yeast and E.coli. The da...

Transmembrane protein topology prediction using support vector machines

The high accuracy of TM topology prediction which includes detection of both signal peptides and re-entrant helices, combined with the ability to effectively discriminate betwee...

Improving the accuracy of transmembrane protein topology prediction using evolutionary information

Abstract Motivation: Many important biological processes such as cell signaling, transport of membrane-impermeable molecules, cell–cell communication, cell recognition and cell ...

A guide to machine learning for biologists