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

Protein structure prediction is a way to bridge the sequence-structure gap, one of the main
challenges in computational biology and chemistry. Predicting any protein's accurate …

The experimental characterization and computational prediction of protein structures has
become increasingly rapid and precise. However, the analysis of protein structures often …

Protein structure prediction is an interdisciplinary research topic that has attracted
researchers from multiple fields, including biochemistry, medicine, physics, mathematics …

Predicted protein residue–residue contacts can be used to build three‐dimensional models
and consequently to predict protein folds from scratch. A considerable amount of effort is …

Motivation: Protein contact map describes the pairwise spatial and functional relationship of
residues in a protein and contains key information for protein 3D structure prediction …

Motivation Knowledge of protein–ligand binding residues is important for understanding the
functions of proteins and their interaction mechanisms. From experimentally solved protein …

As a nature-inspired search algorithm, firefly algorithm (FA) has several control parameters,
which may have great effects on its performance. In this study, we investigate the parameter …

In this communication we carry out an in-depth review of a very versatile QSPR-like method.
The method name is MARCH-INSIDE (MARkov CHains Ivariants for Network Selection and …

Background Protein inter-residue contact maps provide a translation and rotation invariant
topological representation of a protein. They can be used as an intermediary step in protein …