The ubiquitous presence of proteins in chemical pathways in the cell and their key role in
many human disorders motivates a growing body of protein modeling studies to unravel the …

A memetic version between an evolutionary algorithm (differential evolution) and the local
search provided by protein fragment replacements was defined for protein structure …

We present an evolutionary stochastic search algorithm to obtain a discrete representation
of the protein energy surface in terms of an ensemble of conformations representing local …

Computational approaches to de novo protein tertiary structure prediction, including those
based on the preeminent “fragment-assembly” technique, have failed to scale up fully to …

A hybrid version between differential evolution and the fragment replacement technique was
defined for protein structure prediction. The coarse-grained atomic model of the Rosetta …

Memetic Algorithms are population-based metaheuristics intrinsically concerned with
exploiting all available knowledge about the problem under study. The incorporation of …

This paper proposes a novel Population-based optimization (PBO) approach to use in
conjunction with an upgraded migration operator. It can tackle multiple sequence alignment …

In this paper, we present a knowledge-based memetic algorithm to tackle the three-
dimensional protein structure prediction problem without the explicit use of experimentally …

Tertiary protein structure prediction is a challenging problem in Structural Bioinformatics and
is classified according to the computational complexity theory as a NP-hard problem. In this …

Motivation Massive local minima on the protein energy landscape often cause traditional
conformational sampling algorithms to be easily trapped in local basin regions, because …