SeqPredNN: a neural network that generates protein sequences that fold into specified tertiary structures.

ABSTRACT:

Background

The relationship between the sequence of a protein, its structure, and the resulting connection between its structure and function, is a foundational principle in biological science. Only recently has the computational prediction of protein structure based only on protein sequence been addressed effectively by AlphaFold, a neural network approach that can predict the majority of protein structures with X-ray crystallographic accuracy. A question that is now of acute relevance is the "inverse protein folding problem": predicting the sequence of a protein that folds into a specified structure. This will be of immense value in protein engineering and biotechnology, and will allow the design and expression of recombinant proteins that can, for instance, fold into specified s

SUBMITTER: Lategan FA 

PROVIDER: S-EPMC10546711 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature