The recent studies indicate that the protein secondary structure provides very important
advantages in determining the function of a protein, treating numerous diseases and drug …

The negative selection algorithm is an anomaly detection technique inspired by the self-
nonself discrimination behavior observed in the Biological Immune System. The most …

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 …

Ab-initio structure prediction refers to the problem of using only knowledge of the sequence
of amino acids in a protein molecule to find spatial arrangements, or conformations, of the …

Capturing the rules that govern a particular system can be useful in any field where the
causes of its effects are unknown. Indeed, discovering the causes that produced a particular …

In the multi-objective approach to constraint-handling, a constrained problem is transformed
into an unconstrained one by defining additional optimization criteria to account for the …

The time an offspring should live and remain into the population in order to evolve and
mature is a crucial factor of the performance of population-based algorithms both in the …

Ligand diffusion through a protein interior is a fundamental process governing biological
signaling and enzymatic catalysis. A complex topology of channels in proteins leads often to …

The HP model for protein structure prediction abstracts the fact that hydrophobicity is a
dominant force in the protein folding process. This challenging combinatorial optimization …

How long a B cell remains, evolves and matures inside a population plays a crucial role on
the capability for an immune algorithm to jump out from local optima, and find the global …