Deep learning for protein complex structure prediction
Patrick Bryant
Abstract
Recent developments in the structure prediction of protein complexes have resulted in accuracies rivalling experimental methods in many cases. The high accuracy is mainly observed in dimeric complexes and other problems such as protein disorder and predicting the structure of host-pathogen interactions remain. This review highlights the foundation for current accurate structure prediction of protein complexes and possible ways to address the remaining limitations.
Topics & Concepts
Protein structure predictionProtein structureComputational biologyFoundation (evidence)Artificial intelligenceMachine learningComputer scienceBiologyBiochemistryPolitical scienceLawProtein Structure and DynamicsEnzyme Structure and FunctionBioinformatics and Genomic Networks