Abstract Protein Structure Prediction is a central topic in Structural Bioinformatics. Since
the'60s statistical methods, followed by increasingly complex Machine Learning and recently …

Motivation: To date, only a few distinct successful approaches have been introduced to
reconstruct a protein 3D structure from a map of contacts between its amino acid residues (a …

Background Effective encoding of residue contact information is crucial for protein structure
prediction since it has a unique role to capture long-range residue interactions compared to …

A protein contact map is a simplified, two-dimensional version of the three-dimensional
protein structure. Protein contact map is proved to be crucial in forming the three …

Background Residue-residue contacts are key features for accurate de novo protein
structure prediction. For the optimal utilization of these predicted contacts in folding proteins …

Backgrounds Despite continuing progress in X-ray crystallography and high-field NMR
spectroscopy for determination of three-dimensional protein structures, the number of …

Tropoelastin is the highly flexible monomer subunit of elastin, required for the resilience of
the extracellular matrix in elastic tissues. To elicit biological signaling, multiple sites on …

Protein folding and structure prediction are two sides of the same coin. Contact maps and
the related techniques of constraint-based structure reconstruction can be considered as …

This chapter aims to introduce to the specifics of protein structure annotations and their
fundamental position in structural bioinformatics, bioinformatics in general. Proteins are …

Protein structural information is essential for the detailed mapping of a functional protein
network. For a higher modelling accuracy and quicker implementation, template-based …