%T Machine learning methods for predicting protein structure from single sequences
%A Shaun M Kandathil
%A Andy M Lau
%A David T Jones
%V 81
%D 2023
%J Current Opinion in Structural Biology
%L discovery10172239
%O © 2023 The Authors. Published by Elsevier Ltd. This is an
open access article under the CC BY license (http://creativecommons.
org/licenses/by/4.0/).
%C England
%X Recent breakthroughs in protein structure prediction have increasingly relied on the use of deep neural networks. These recent methods are notable in that they produce 3-D atomic coordinates as a direct output of the networks, a feature which presents many advantages. Although most techniques of this type make use of multiple sequence alignments as their primary input, a new wave of methods have attempted to use just single sequences as the input. We discuss the make-up and operating principles of these models, and highlight new developments in these areas, as well as areas for future development.