Structural alignment compares protein structures in three dimensions to identify conserved folds, domains, functional sites and evolutionary relationships. Learn how RMSD, TM-score and structural comparison tools reveal similarities and differences between proteins.
Protein structure databases organize experimental and predicted protein structures and provide resources for structural comparison, visualization, functional analysis, and structural bioinformatics.
Protein structure prediction uses amino acid sequences and evolutionary information to estimate three-dimensional protein structures. Learn about homology modeling, threading, AlphaFold, structural confidence and applications in biology and genetics.
AlphaFold and other AI-based methods have transformed protein structure prediction by using deep learning and evolutionary information to predict three-dimensional protein structures from amino acid sequences.
Structural alignment compares protein structures in three dimensions to identify conserved folds, domains, functional sites and evolutionary relationships. Learn how RMSD, TM-score and structural comparison tools reveal similarities and differences between proteins.
Protein structure databases organize experimental and predicted protein structures and provide resources for structural comparison, visualization, functional analysis, and structural bioinformatics.
Protein structure prediction uses amino acid sequences and evolutionary information to estimate three-dimensional protein structures. Learn about homology modeling, threading, AlphaFold, structural confidence and applications in biology and genetics.
AlphaFold and other AI-based methods have transformed protein structure prediction by using deep learning and evolutionary information to predict three-dimensional protein structures from amino acid sequences.
