Background Accurately predicted contacts allow to compute the 3D structure of a protein.
Since the solution space of native residue-residue contact pairs is very large, it is necessary …

We introduce a novel contact prediction method that achieves high prediction accuracy by
combining evolutionary and physicochemical information about native contacts. We obtain …

Abstract FAM72A (p17) is a novel neuronal protein that has been linked to tumorigenic
effects in non-neuronal tissue. Using state of the art in silico physicochemical analyses (eg, I …

De novo membrane protein structure prediction is limited to small proteins due to the
conformational search space quickly expanding with length. Long-range contacts (24+ …

Resumen QUINTANA-ZAEZ, Julio César et al. Predictor de interacciones entre estructuras
secundarias de proteínas. Rev cuba cienc informat [online]. 2017, vol. 11, n. 3, pp. 105-113 …

Three-dimensional protein structures are an invaluable step** stone towards the
understanding of cellular processes. Computational protein structure prediction holds the …

The focus of this work was to develop a method for rapid fitting of atomic resolution structural
models into medium resolution electron density maps and Bayesian energy potentials for a …

Understanding the folding of proteins is one of the most interesting research field for the
Bioinformatics. The contact maps constitute an intermediate step in the prediction of the 3D …

Different kinds of information are used in contact prediction, eg, structure-based,
coevolutionary or sequence-based information. They have inherent specific strengths and …

De novo protein structure prediction is a challenge due to the sheer size of the search
space. One can limit the set of potential models with long-range contact restraints (positions …